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NASSCOM has established a Centre of Excellence in Data Science & Artificial Intelligence (CoE – DSAI) along with Government of Karnataka on a public-private partnership model. The vision of the CoE – DSAI is to accelerate the Data Science & Artificial Intelligence ecosystem and establish Karnataka as a global hub for Data Science & Artificial Intelligence (DS & AI).

 

CoE -DSAI launches the Acceleration Program to deep accelerate Small & Medium Enterprises who are developing disruptive solutions in areas of Banking & Financial Services, Healthcare, Retail, Telecom, Cross-Industry & Government / Citizen centric services, by -

 

  • Using deep learning (or other advanced machine learning techniques)
  • Solving problems that were previously poorly solved/unsolvable (without AI techniques)
  • Involving unstructured datasets (text, voice, video, images, etc.) in addition to structured data
  • Delivering high impact, either commercially or societally.

 

The CoE – DSAI will support the short-listed SMBs, for a period of six months to five years, to fast track its Product Development, Market Access, Talent requirement, and Showcasing through -

 

  1. Real World Problems: Assist in access to Enterprises, PoCs, Complex business problems and part of Co-Creation program of CoE-DSAI with User Enterprises & Government
  2. Training Data: CoE – DSAI will work with Government & Enterprises to make available large data-sets for training the model
  3. Technology Platform: Technology Platform (Cloud + On Premise) with requisite library of solutions & reusable artifacts
  4. Mentoring: Experts with deep knowledge of the business will provide mentorship along with sharing of best-practices
  5. Skill & Talent: Access to Universities & Training Partners with whom CoE – DSAI will build partnership to develop right skill & talent
  6. Showcasing: Across various NASSCOM platforms,  reports, summits, NASSCOM tie-ups with global organizations, presentation to global delegates

 

Who Can Apply?

SMBs in DS & AI space with revenues not exceeding USD 25 million and developing niche / disruptive capabilities may apply to the program. The selection to the program will be through a jury process.

 

If you are interested to be a part of this program, please fill the attached form. 

To Know More, please write to: coe-dsai@nasscom.in

When one talks about the various ways in which technology has managed to shape our world over time, then it must be said that the Internet of Things is undoubtedly one of the most prominent forms of technology that has moulded the modern world as we know it. The sheer volume of applications when it comes to this particular form of technology simply cannot be stated enough, and – to top it all – it has proven to be universally viable, no matter what the scale of its application might be. From a personal domicile to an entire industry – through the judicious use of the industrial Internet of Things – there’s no end to the total number of ways in which this technology will affect our lives over time.

industrial internet of things

One significant manner in which this technology will affect the current landscape by facilitating an unprecedented level of network connectivity is building management – a form of technology that has grown immensely in prominence due to the increasingly sprawling urban landscape, and a pressing need to ensure that these buildings are monitored efficiently. This boom in the prominence of a Building Management System or BMS (also known as a Building Automation System or BAS) is mainly because, no matter what the scale of application is, BMS technology is still useful for many reasons.

In the context of homes: The advent of IoT technology has proven to be quite helpful in more ways than one. After all, the fact of the matter is that human needs are always growing, and it’s imperative to adopt the latest technology that will help improve one’s Quality of Life at home. Home control is perhaps the best way to illustrate this point – smart home automation has gone a long way in ensuring that the degree of control one has over their domicile is improved to a considerable extent. This technology allows you to control multiple aspects of your household with relative ease. If that wasn’t good enough, smart home automation also adapts to your daily routine over time, so that it can optimise your lifestyle. There is no end to the sheer number of benefits enabled by this technology, which is mainly why this technology is seeing greater prominence in today’s day-and-age.

 

  • In the context of factories: It’s evident that any industrial venture would require network connectivity at all times to mitigate the possibility of any errors. This is especially true for the manufacturing sector, where the industrial Internet of Things has proven to be imperative when it comes to making sure that little to no problems arise during the production process. It’s easy to see why this is the case – after all, any manufacturing defect that arises needs to be pointed out as soon as possible, so that a comparatively small issue doesn’t lead to significant problems for your business. However, that’s just a small manner in which IoT technology has affected these factories – building management will also help ensure that the machinery utilised in a factory will be tracked continuously at all times, while also seeing to it that any faults that have arisen or might arise can be corrected as soon as possible.

 

These are just a few of the many ways in which building management will revolutionise the modern landscape in the booming age of the Internet of Things, and we haven’t even touched upon the huge possibilities enabled through IoT technology. KNX is also another protocol enabled through IoT that will help improve network connectivity and augment building management by a considerable amount. One can only wait and watch as this technology continues to shape how we go about with our daily lives.

Over the last decade or so, smartphones coupled with the power of internet and social media have influenced the way we communicate. Today we have access to more knowledge and information at our fingertips, plan down to the minute to when we will arrive at our destination, watch interesting things happening far away from where we live, learn about things in real time, speak our minds to the world, gossip, become more productive, showcase our talent, track our health, know when to wake, when to sleep!

 

Smartphone manufactures are pushing the limits of hardware innovation

The mobile industry never had a dull day since it hit the floor. Smartphone manufacturers are redefining on what’s humanely possible on the hardware front. 2018 has already seen witnessed its share of what to expect in the coming months. Smartphones of today pack a host of applications. The biggest grouse of any user is how much the phone sucks up battery life and sometimes at the world possible moment. Manufacturers are bulking up battery capacity with the realization that it’s not a solution in the long run. It’s a matter of time when wireless charging will become mainstream, probably without a need for a conventional power source.

 

When it comes to Phones, bigger the better is definitely not the mantra. Over time, smartphones have become smaller and slimmer. Flexible OLED panels will introduce us to foldable smart phonesSamsung Galaxy X is leading the way in foldable mobile phone technology.

 

You find changing the sim card irritating every time you junk your provider? How about the embedded sim or eSIM which will allow you to switch carriers with a software app menu and a few taps on a screen?

 

Limitless - When mobile phone is mated with Augmented Intelligence (AI)

In spite of all the physical improvements, the success of smartphones and their effectiveness is because of the software and apps that improve our productivity, add colour to our lives and how it makes a lot of things much easier. That will change multi-fold when the smartphone is embedded with Augmented Intelligence.

Gartner predicts that by 2022, 80 percent of smartphones shipped will have on-device Artificial Intelligence capabilities, up from 10 percent in 2017. ARM, the company behind virtually every chip in today’s smartphones, wants AI into every mobile device with their Trillium project. Apple has already in built a “neural engine” as part of the iPhone X’s main chipset, for images and speech processing. Huawei had unveiled its Kirin 970 chipset with built-in AI calling it the "future of smartphones". Its new mobile AI is made up of a combination of on-device AI and cloud AI, assisting and making decisions for you.

 

So what does AI in a phone translate to, as a user?

 

Personal assistant: Yes, your own Personal assistant. We already have Siri, Cortana, Google Now which can accept natural language voice command and assist you to make calls, check weather and news, set alarms, tell jokes, play music, order your grocery, send messages etc. With smart home automation, your phone can switch on your air conditioner, change TV channels according to you mood, or. Well, with the phone becoming more intelligent, you may not even need to lift your finger to get things done.

 

Travel without fear: According to hostelworld, language barriers stop five million UK adults from travelling abroad. Whilst some efforts are on to translate languages, teaching a system to translate language is highly complicated because two different translations of the same word may sound equally right. People choose different words depending on context, mood and who they are communicating with. With advancements in natural language processing and sentiment analysis, real-time translations is becoming reality. In a recent development a Microsoft AI translator just nailed one of the hardest challenges: translating some 2000 odd sentences in Chinese into English with accuracy comparable to that of a bilingual person. Soon you will be able to pack your bags without worrying about a foreign language as your phone with its natural-language understanding capabilities will be a near real-time voice translator when traveling.

 

Experience ‘Twisted Reality’: VR & AR technologies brings in excellent understanding of space and motion to your phone. Phones like Asus ZenFone AR with in-built AR allows to perceive depth, track its motion, and even learn its environment, allowing one to immerse themselves in augmented reality like never before. Just want to jump of a cliff? Learn driving in a simulated environment? Tinker your car without going through the manual? Check if Lewis Hamilton is a better racer than you? No matter what you would want to do in a simulated world, your phone is just around the corner.

 

User authentication: Password-based authentication is less effective resulting in weak security and poor user experience. Phones with facial recognition (with all of its flaws and racial biases) have hit the scene and pretty soon become a basic feature. The differentiator will be security technology overhauled by combining machine learning, biometrics and user behavior. How about the smart phone learning your behavior, patterns as to when you walk, swipe, apply pressure to the phone, scroll and type, and authenticate the user without the need for passwords?

 

Best shooting mode: Recently Google used machine learning talent to squeeze better images out of a tiny smartphone lens, including its portrait mode shots, with blurred backgrounds and pin-sharp subjects. DeepLab-v3+ is an image segmentation tool built using convolutional neural networks, or CNNs: a machine learning method that’s particularly good at analyzing visual data. Image segmentation analyzes objects within a picture, and splits them apart; dividing foreground elements from background elements. Similarly LG has launched what it calls as Vision AI by analyzing over 100 million images. What it means to an average user? – recommendation on the best shooting angle, colors, backlighting, saturation levels and more to give you the best automatic shooting mode possible.

 

Your phone, your therapist: Here we are not talking about apps that can track a person’s daily steps, enable patients to refill prescriptions, medication reminders or to search medical references. AI in smartphones has the potential to turn your phone into a medical device and conduct traditional examinations of your organs, perform ultrasound scans, measure vitals such as heart rhythm, blood pressure and glucose levels, and even DNA sequencing. Will your phone become a GP?

 

If smartphones changed the way we communicate, intelligent phones will make decisions for us and change the way we live.

One of the many challenges that various industries face today is the tracking of their assets and vehicles. Internet of Things (IoT) has helped us connect most of our everyday devices and industrial assets are no exception. We now have various technologies available to track assets. Bar codes and RFID, are among the most basic and yet most popular tracking technologies. Already used heavily in the retail industry, these technologies have found many applications in other industries as well. These technologies, however, have their limitations relating to range and lack of real-time tracking ability.  Overcoming these limitations, GPS tracking technology is now available to most industries. GPS tracking technologies have been around for a long time and now with all the innovations in the area of sensors, networking, and connectivity, the technology is well-suited as well as cost-effective to track assets and vehicles in real-time.

GPS Tracking Technology 

A number of industries can benefit from GPS fleet and asset tracking as it prevents theft, loss, and damage, as well as helps better track assets for usage, maintenance, and servicing. Assets and vehicles can be tracked globally using hardware that combine the GPS technology with cellular and/or satellite phone technology. The hardware is usually referred as tracker or tracking device.

The tracking device is installed on vehicle or asset that needs to be tracked. This device then collects and transmit tracking data via a cellular or satellite network, to a central station. In most cases, this central station belongs to a GPS tracking service provider, which usually hosts the tracking application. The data is then made available to the user through software that offer details about the position, location and usages of the vehicle or asset.  The software is made available through variety of options such as web interface, mobile platforms, and/or integrated with other asset and fleet management system. 

GPS Tracking Hardware

Every GPS tracking system starts with tracking devices.  There are mainly three types of GPS trackers: OBD trackers, hard-wired trackers, asset tracks.

OBD Tracker for GPS Tracking.jpg                    OBD Tracker

OBD trackers: These trackers plug into the vehicle’s on-board diagnostics (OBDII) port and draws power from it. The OBD II port is available in most cars and trucks manufactured since 1996.  Apart from GPS location, these trackers are also able to gather additional information such as ignition start and stop information, engine diagnostics etc.  These trackers are easy to install and do not require professional installation. Since these draw power from vehicle’s electrical system, these also do not require batteries.

hardwired tracker for GPS Tracking.png                  Hard-wired Tracker

 

 

Hard-wired trackers: Like OBD trackers, these trackers are also well-suited for vehicles, as these draw power from vehicle’s electrical system.  Hard-wired trackers are connected to vehicle’s power, ignition, and ground. Unlike OBD trackers, these covert trackers are not plug-and-play and usually require professional installation.

asset tracker for GPS Tracking.jpg                    Asset Tracker

 

 

Asset trackers: While the above two are well-suited for vehicles, the asset trackers are mainly used for non-powered assets and powered assets that may remain idle for extended period. Example of such assets include: containers, trailers, heavy equipment, generators, vehicles, boats, and other large equipment.  These trackers usually do not update location information as frequently as vehicle trackers. These incorporate a long-life battery and some version also offer the ability to be configured with an external power source. Some asset trackers also include the capability to monitor parameters such as temperature, pressure, humidity etc. These trackers are mainly used for containers carrying shipments that needs to be monitored. These trackers are placed inside the container and use cellular triangulation as a backup to locate the container since GPS signals may not penetrate a container’s metal walls.

As IIoT is evolving at a fast pace, we see continuous improvements in the area of asset and fleet tracking. ARC is closely following this market space and we will cover more details about related technologies, software, and benefits in our upcoming blogs.

 

“Reprinted with permission, original blog was posted here”. You may also visit here for more such insights on the digital transformation of industry.

 About ARC Advisory Group (www.arcweb.com): Founded in 1986, ARC Advisory Group is a Boston based leading technology research and advisory firm for industry and infrastructure.

For further information or to provide feedback on this article, please contact lkanickaraj@arcweb.com

 About the Author:

Inderpreet Shoker

Analyst

Inderpreet is a member of both the field device research and the Asset Performance Management (APM) teams at ARC.

Inderpreets focus areas include field systems (flow, pressure, temperature, gas detection, emission monitoring).  She is also a part of the Asset Performance Management (APM) team focusing on plant level asset management technologies and services.

Smart lighting systems are at the vanguard of many “smart city” initiatives. Increasingly, we’re seeing these being adopted in the commercial space, but what about processing environments like refineries, chemical plants, and offshore oil rigs? For these industry segments, something more compelling than electricity savings might be needed.

Appleton LED Refinery Lighting.jpg

LED LIGHTING SYSTEM FOR PROCESS PLANTS (COURTESY OF EMERSON/APPLETON)

The smart lighting systems market is one of the hottest and most dynamic today for many reasons, including:

  • The LED revolution and associated energy costs/carbon footprint savings
  • The low cost and payback period for investing in smart lighting networks when transitioning to LEDs
  • IoT for smart buildings & cities

We’re seeing the industrial sector adopting more smart lighting solutions as companies look to increase efficiency and reduce energy consumption. With new IoT lighting solutions emerging for industry, this sector should experience high growth over the next five years. But what primary factors will attract the process industries to smart lighting?

Reducing Operational Costs and Risks with Smart Lighting

For the buildings, commercial, and infrastructure sectors, energy efficiency is a key driver for adopting mart lighting systems. In the process industries, however, energy efficiency isn’t always at the top of the list of priorities. This is particularly true in the oil and gas industry - the most energy-intensive industrial sector overall. Compared to other industrial assets, such as pumps and motors in a refinery, lighting represents a very small fraction of the overall energy consumed. The real value with smart lighting for the heavy process industries may lie with reduced maintenance and operational expenditures.

Maintaining lighting systems in places like refineries can be time consuming, costly, and/or hazardous for employees. Many end users prefer to maximize risk management by keeping plant personnel out of harm’s way as much as possible. Implementing smart lighting systems also enables predictive maintenance strategies, reducing the need for regular preventative maintenance schedules. In industrial environments, lighting typically must be in special housings and enclosures to make it suitable for hazardous areas. Smart lighting solutions and their associated networking capabilities make it possible to add diagnostics that can determine potentially hazardous conditions.

For more information about smart lighting solutions and their impact on industrial environments, ARC recently published a Smart Lighting Systems Global Market report.

“Reprinted with permission, original blog was posted here. You may also visit here for more such insights on the digital transformation of industry.

 

About ARC Advisory Group (www.arcweb.com): Founded in 1986, ARC Advisory Group is a Boston based leading technology research and advisory firm for industry and infrastructure.

For further information or to provide feedback on this article, please contactakanagali@arcweb.com

 

About the Author:

Larry O'Brien

Vice President, Research

Larry is responsible for providing oversight in ARC's research into process automation markets, including process automation systems, process safety systems, plant asset management systems, intelligent device management strategies, and field networks.

We are still running around, jumping in the puddle of data mining and other data insights when we are hit by this new wave called 'Internet of Things" .

 

Typically in the healthcare system the  patients dont really care what sensors will record and transmit and to whom and to where and whether it follows the standard protocol, what they really care about is whether they will be able to get well soon and how this IoT is going to help him have a better quality of life and how soon that would happen.

 

Similarly the providers dont care about the tons of data that will be accessible to him, he would be more eager to know the intelligent real time information that would help him diagnose any ailment. However, at the moment, the health monitors, wearables remain largely outside typical care channels. One common IoT-enabled wellness monitor, for example, creates, transmits, analyzes, and stores data—but in a database not linked to, and incompatible with, traditional health records. However useful, the information is unavailable or even unknown to doctors unless patients volunteer it—and, indeed, physically bring it to a visit. There is a gridlock in the flow of information at the aggregate stage. Alleviating that gridlock—and integrating prevention and wellness monitors with existing electronic health-records systems—is key to taking full advantage of IoT-enabled devices’ capabilities and keeping people healthier longer.

 

Established health care IT companies, will no doubt find these new business models threatening, considering the new entrants eager to join the fight for customer value.  It is critical that IoT Companies deliberately identify how IoT technology fits into their existing products and strategies, and enables the delivery of transformational innovation. Simply using the IoT to enable innovation is unlikely to create sustainable advantage. 

 

Companies should identify areas of high unmet needs and clearly articulate the value they will deliver for their customers. Development should begin with a specific use case in mind and a clear vision of how each stage in the Information cycle will contribute to addressing customer needs.

 

Strategy to access capabilities through in-house development, acquiring companies, or partnering will be necessary. In all cases, whether entrant or incumbent, the IoT strategy should be built from an understanding of which care settings and which gridlock the entity seeks to alleviate. From there, choices as to whether to focus on the setting or the stage of the gridlock will determine the appropriate business model. The long-predicted IoT revolution in healthcare is already underway, as new use cases continue to emerge to address the urgent need for affordable, accessible care. 

The ‘internet’ of people changed the world well there's a new internet emerging and it's poised to change the world again this new internet is not just about connecting people it's about connecting things and so it's named the Internet of Things.

Ok so connecting things to the internet big deal right well it kind of is and here's why because things can start to share their experiences with other things, you take things and then you add the ability to sense and communicate and touch and control and there you get an opportunity for things to interact and collaborate with other things so think of it like this, we as human beings, we interact and contribute and collaborate with other people in our own environment through our five senses we are seeing and smelling and in touch and taste and hearing, right well imagine things with the ability to sense and to touch and then add the than ability to communicate and that's where the internet of people and the internet of things intersect. I believe like the internet revolution, IoT opportunity is transformative. 

 

However there are few challenges   Some of the challenges that I can think of is like the interoperability issues of different software programs we do have an issue of  Heterogeneity of sensors and networks also last mile gap in delivering quality of service & Security with regard to  Privacy and Governance.

 

Broadly Challenges could be categorized under

Integration:  Gadgets & Devices

The diversity of devices in the networks is another obstacle for the successful implementation of IoT in healthcare.  The problem lies in the fact that the device manufacturers do not have an agreed-upon set of communication protocols and standards. The lack of uniformity among the connected medical devices also significantly reduces the opportunities of scaling the use of IoT in healthcare.

 

Security: Data Transmissions at risk

The main concern for regulatory bodies and users alike is, of course, the security of personal health information that is stored and transmitted by the connected devices. Strict access controls are required to ensure compliance with healthcare regulations.

 

Analytics : Data insights

Even though the process of collecting and aggregating data comes with complications, healthcare IoT is responsible for accumulating massive amounts of valuable data it can be used to benefit the patients, however deriving the insights from immense amounts of data is problematic without sophisticated analytics programs and data professionals.

 

A critical path to improving healthcare efficiency is to shift focus from acute care to early intervention. Remote patient monitoring technologies would be just a small cog in the wheel of Connected health. Health and fitness monitoring will precede patient monitoring as the driver for IoT solutions in healthcare. IoT in healthcare holds great promise for the coming generations because it could just transform the quality of life of the aging population. IoT could feel a bit intrusive  at times for the current generations, but looking at the trends it would help the millennials and the aging populations both get really helpful insight about the status of their health and act upon them.

Patients are the most important stakeholders in the healthcare ecosystem and that they should be empowered to make informed choices.

                                                                                                       Swami Unknownanda

 

In a broader sense, the "patient pathway" is the route that a patient will take from their first contact with a healthcare provider or a member of staff, through referral, to the completion of their treatment. It also covers the period from entry into a hospital or a Treatment Centre, until the patient leaves.

In healthcare, there already exists whole gamut of technologies in various states of maturity – wearable devices that are perhaps not yet ready to be used as clinical-grade, beta-versions of monitoring devices, inventory tracking systems already being utilized in hospital operations, etc. The innovations we will see in the coming years will push these to new heights and give health system operations the opportunity to be leaders in adoption of the connected world empowered by the internet of things. Willingness to explore the opportunities presented by this world will be the differentiator between those who leverage the capabilities for optimization and those who stick to what’s been just good enough so far.

Internet of Things (IoT) refers to any physical object embedded with technology capable of exchanging data and is pegged to create a more efficient healthcare system in terms of time, energy and cost. One area where the technology could prove transformative is in healthcare. The potential of IoT to impact healthcare is wide ranging. We've already seen an increasing movement towards fitness tracking wearables over the last few years. Imagine a world where your vital signs were being constantly monitored and fed back to your healthcare professional.

Many of us who advocate LEAN in Healthcare, we know that lean stands for removing all that is not required, Simply, lean means creating more value for customers with fewer resources. A lean organization understands customer value and focuses its key processes to continuously increase it. The ultimate goal is to provide perfect value to the customer through a perfect value creation process that has zero waste. The core idea of lean involves determining the value of any given process by distinguishing value added steps from non-value-added steps, and eliminating waste so that ultimately every step adds value to the process. To maximize value and eliminate waste, leaders in health care, as in other organizations, must evaluate processes by accurately specifying the value desired by the user; identifying every step in the process (or “value stream,” in the language of lean) and eliminating non-value-added steps, and making value flow from beginning to end based on the pull — the expressed needs — of the customer/patient. When applied rigorously and throughout an entire organization, lean principles can have a dramatic affect on productivity, cost, and quality.

With the deployment of IoT in healthcare it would enhance the scope of monitoring patients response, since huge zettabytes of data are going to be generated from the many monitoring sensors, if we are somehow able to remove the noise and work on the intelligence derived from it, and if we could somehow wed the intelligent data derived from IoT with the LEAN/ SIX SIGMA tools it would greatly enhance the quality of the patient care pathway. We would be able to do a better job of mapping his entire journey and improve on the patient e care pathway.

IoT in itself wouldn’t be a big help unless the information that is obtained from the sensors and other embedded systems are not synced with data analytics.

These are exciting times for Healthcare Delivery system, after proper deployment of sensors and by the optimum use of other remote monitoring system, suffice to say monetizing the data generated by the IoT would be the principle driver for enterprises and small businesses alike in years to come.

They may forget your name, but they may never forget how you made them feel...Maya Angelo

Patient satisfaction is not a clearly defined concept, although it is identified as an important quality outcome indicator to measure success of the services delivery system

Ever since the Institute of Medicine’s 2001 'Crossing the Quality Chasm' report codified patientcenteredness as one of six health care quality aims, patient-centered care has gained footing within the landscape of health care reform. There is no consensus between the literatures on how to define the concept of patient satisfaction in healthcare. In Donabedian's quality measurement model, patient satisfaction is defined as patient-reported outcome measure while the structures and processes of care can be measured by patient-reported experiences

Many of our Linkedin friends would concur that even if we run a million dollar enterprise and have a fairly good experience on dealing with stressful situations in our everyday business life but when it comes to visiting the hospital we get cold feet – because of the element of unforeseen and unexpectedness of the entire process that we have to undertake and on top of that we as a patient community do not have a collective voice and it makes matters worse.

I believe we have a tremendous potential as a nation provided that we as a provider and receiver of healthcare services are on the same page, though it is easier said than done.Patient who visits a hospital is looking for value on investment (VOI) and the Provider is looking for return on investment (ROI). Healthcare providers have their limitations, financial and otherwise --- but at least they are doing their bit and performing reasonably well. Since they have fixed resources at their disposal – the only thing humanly possible for them is resource optimization.

In India, we have already missed the bus when it comes to patient satisfaction surveys unlike our western counterparts. For everything in life we need some kind of metrics, some tools to measure the clinical outcome and the patient satisfaction. So to make up for it may I suggest we incorporate Tech enabled, IoT optimized patient feedback mechanism.

Various Accreditation bodies like NABH, NABL, CAP, JCI and ISO are functioning in the healthcare domain but these are mostly voluntary, these accreditations are a reflection that the entity has undergone high quality of audit in its internal departments, but does it say anything about the patient satisfaction or patient engagement, the answer is a big NO. In India, one could safely bet that 90% of the patients visiting the hospitals do not have the foggiest notion of what do these accreditation means, entities need to think beyond certifications and accreditation, entities need to educate people, create more awareness among the stakeholders specially the patient community, they ought to let the world know that these organizations have the benchmark this will inspire confidence in the patient community.

So in a truly democratic healthcare system the patient ought to have a voice and a mechanism in place just to ensure that his voice his heard and above all accreditation agencies must also factor in the patient voice.

Few days back I got a very interesting email from someone who heads the Clinical Transformation and Analytics, Clinical Technology and Patient Safety Innovations at a Super Speciality, New Delhi, she enquired about the tech solutions that could be put in place to enhance the patients positive experience,it so heartening to note that the providers are seriously interested in improving the patients experience and by and large I presume most of the providers do want to improve the patients experience.

So what is the solution, how do we propose to go about it, well unlike Press Ganey & HCAPHS, I don’t know of any organization in India working towards the goal of providing patient satisfaction survey. Press Ganey has stated that a minimum of 30 survey responses is necessary to draw meaningful conclusions from the data it receives and that it will not stand behind statistical analysis when less than 30 responses are received. The entities mentioned above are highly detailed paper based patient feedback mechanism, in this time and age we need to think digital, think ahead.

If we go digital & truly real time in the patient feedback mechanism it would greatly enhance the whole patient experience and maybe help to manage solve some of the issues in real time. Wouldn’t it be just great if we incorporate IoT’s in the patient feedback loop, we wouldn’t have to wait for 30 odd surveys to be analyzed we could just go ahead and fix the situation right away if it warrants an action.

Inviting Case Studies on Best-in-Class Artificial Intelligence Solutions

 

Adoption of AI is accelerating across the globe and, in parallel, AI technologies & techniques continue to get better every day, thus creating a virtuous loop.  AI solutions are augmenting human intelligence and improving our decision making, automating activities previously considered to be in the human realm, and adding significant value to our lives.

 

NASSCOM Artificial Intelligence Game Changer Awards 2018 will recognize, showcase & publish the most innovative, high impact and high-tech AI solutions that organizations have delivered internally or to their clients.

 

SUBMIT YOUR CASE STUDIES BY 20TH MAY

The ideal case study:

  • Should be an example of the use of deep learning (or other advanced machine learning techniques)
  • Should have solved problems that were previously poorly solved/unsolvable (without AI techniques)
  • Should involve unstructured datasets (text, voice, video, images, etc.) in addition to structured data
  • Should have delivered high impact

 

A not so desirable case study (for this submission):

  • Uses only BI or traditional advanced analytics techniques like regression, logistic regression, decision trees/forests
  • Is merely improving an existing solution incrementally by using an AI/ML technique like random forests, etc.
  • Is merely a proof-of-concept or a technology demonstration that isn’t yet deployed and hasn’t created impact
  • Simple RPA (but AI-driven RPA submissions are encouraged)

 

Application process:

  • Submission of Case Studies in the prescribed format – May 20, 2018
  • Review by Jury and shortlisting –May 31, 2018
  • Presentation of shortlisted submissions to the Jury – June 1 to 30, 2018
  • Announcement of top case studies –July 5, 2018

Winner’s Wins

  • Top 25 case studies will be prominently featured in a NASSCOM handbook of “AI in Action” published by top international publisher
  • Opportunity to be recognized by NASSCOM as best in class AI solutions at Big Data Analytics Summit, 2018
  • Promotion on NASSCOM online platforms

 

Who can apply?

All NASSCOM members and other startups/enterprises/ GCCs/solution providers

·         Each company can submit upto 5 case studies

·         No Participation Fee

·         Apply by 20th May

 

Click here for criterion, instructions & template

Please send in your submissions/queries at coe-dsai@nasscom.in

 

For any query, please reach out to: t-pritha@mail.nasscom.in

Arnab Paul

Internet of (Caring) Things

Posted by Arnab Paul Apr 16, 2018
                                              Ask not for whom the bell tolls, it tolls for thee.. John Donne

A little bit of a background about the famous line of John Donne's poem.The idea of tolling of the bell comes from the practice people would indulge in of going to the village/town church to ring the bell to announce that someone had died. So, the tolling of the bell would likely evoke the question: "Who died?" That is the context in which the poet is writing. So Donne is saying, that we are all interconnected and are all affected by what happens to someone else; hence, you need not ask for whom the bell tolls; it tolls for you, since you too are affected by the passing of another human being.

 

This famous line of John Donne got me thinking. that we all are aging, and we are aging every moment. But we as a Solution/Service provider community we don’t have a long term strategy in place to make the lives of aging population enjoy the twilight years.

 

In India, the number of nuclear family is increasing exponentially so IoT and other new wave technologies have the capability in their arsenal to improve the quality of life of the aging population.

 

The aging population has grown rapidly worldwide. In India findings revealed said that the number of citizens over the age of 60 jumped 35.5 per cent in 2011. In some countries, the sheer number of people entering older ages will challenge national infrastructures, particularly health systems. This numeric surge in older people is dramatically illustrated in the world’s two most populous countries: China and India . China’s older population – those over age 65 – will likely swell to 330 million by 2050 from 110 million today. India’s current older population of 60 million is projected to exceed 227 million in 2050, an increase of nearly 280 percent from today. 

 

The healthcare industry in India and most parts of the World is undergoing a huge transformation in a bid to move towards affordable, accessible, and quality care. New applications such as remote monitoring, a result of cutting edge technology innovations, are being developed to address the changing industry needs. This model of healthcare, which heavily relies on patient participation, and subsequent data analysis by microprocessors and microcontrollers, is changing the way health services are delivered. The connectivity between sensors and devices enables healthcare organizations to streamline their clinical operations and workflow management, and aids real-time patient care, even from remote locations.

 

IoT, in conjunction with cloud computing and big data, is creating lucrative opportunities in the healthcare sector. The reduced cost of care, improved healthcare outcomes, and development of high speed networking technologies are likely to drive the growth of IoT in healthcare.

 

Old age people have major share of health issues, what makes them more vulnerable is the cognitive impairment hence they are unable to report things that they would likely have reported if they had no cognitive impairment.

 

Dementia is an illness syndrome, characterized by cognitive and behavioral disturbances. memory loss is the main symptom of dementia although other areas of functioning are also affected. Mainly early stage dementia and this is where it becomes both interesting and challenging how IoT may be applied.

 

These include: attention, orientation, language, mood, personality, judgment, and visual spatial performance. Dementia progresses at an individual rate, but the first sign is often a gradual decline in memory. Despite memory decline, early stage dementia includes mild impairment in verbal expression, executive functioning, judgement, and physical abilities.

In the early stages of dementia, person with dementia have the best response to the therapeutic interventions and as a result, many people are living longer with milder symptoms. Person with dementia in the early stages are often able to remain active, but their personal identity may change due to the changes in their memory perceptions and ability. Due to the rapidly growing population of older adults and people affected with dementia, the cost of dementia care and the burden of the family will dramatically increase.

 

 Taking some useful strategies in the early stage of dementia may decline cognitive function decline and I believe this is were IoT has a major role to play.

 

Researchers around the world are searching for ways to prevent or cure dementia, and with pharmacological therapies offering only modest hope, non-pharmacological therapies that stimulate mental activity have emerged as a more promising therapeutic method.

 

Cognitive training shows promise for improving cognitive abilities or person with dementia in the early stages who are at high risk for continued cognitive decline.

 

Computerized cognitive training and virtual reality cognitive training along with IoT can help in assessing and training cognition. Cognitive training usually involves guided practice on a set of standardized tasks involving specific cognitive functioning including memory, attention, or problem solving. Computerized cognitive training can tailor task difficulty based on individual performance level and offer through individual or in groups. I earnestly believe eventually human behavior will co-evolve with the technology that we have and change the landscape of health and care. 

The world is continuously growing and changing. Various advancements have also occurred when it comes to the technology used in rendering healthcare services. Thus, there is no doubt that the healthcare industry has improved in the last decade but what are some of those improvements.

 

The technology has also played a big role in patient registration and data monitoring. Before, people need to go seek a doctor and visit them personally for a consultation but now, it is very much possible for them to consult a doctor in the convenience of their own homes by allowing them to talk with their doctor through a video chat, as Telehealth has been introduced. Apart from that, there are also technologies that allow a healthcare provider to monitor their patients in their own mobile phones.

 

It’s not only that for they are also now capable of sending and receiving patient’s information in their mobile phones as well. All of these have been made possible, as wireless connectivity exists. Devices that can help monitor one’s health of the one wearing it have also been highly available in the market. As a matter of fact, there are even sensors that are capable of collecting data that would of course help their doctor be informed in case there is something abnormal with their patients. This allows them to provide the right medication and treatment to their patients fast. On the other hand, although great improvements have been made in the healthcare industry, one can still expect that a brighter future awaits in the next years or decades.

Within five years, the majority of clinically relevant data will be collected outside of clinical settings.

It has been said that healthcare in the future would become more personal. Thus, one can expect that personalized medicines or medicines that have been created specifically for an individual would be available. The way doctors diagnoses their patient’s disease and provides treatment to them would also be changed as data would become more accessible in the future, combined with the use of more hi-tech devices. As more people are being conscious of their health, one can expect that more tools and equipment would be available in the future.

 

Internet of Things

In the IoT paradigm everything in the world is considered as a smart object, and allows them to communicate each other through the internet technologies by physically or virtually. IoT allows people and things to be connected Anytime, Anyplace, with anything and anyone, by using ideally in any path/network and any service.Internet of Things could be the driver for health care’s new visage and revolutionize patient care transcendentally.

Few ways how IoT can be used in healthcare industry.  

 

1) Remote patient monitoring
Remote patient monitoring (RPM) uses digital technologies to collect medical and other forms of health data from one individual in one location and electronically transmit this information to the health care providers. RPM can help reduce the number of hospital readmissions and lengths of stay in the hospitals. 

 

2) Clinical care
Hospitalised patients whose physiological status requires close attention can be constantly monitored using IoT driven, non-invasive monitoring. Sensors are used to collect such information and using cloud to analyse data and then send this analysed data to caregivers. It replaces the need for the doctor to visit the patient during regular intervals for check up. This will also help to improve the quality of care through constant monitoring.

 

3) Device monitoring
An IoT connected device metal device can notify when there is a problem with a device.  This will prevent the device from shutting down and avoid patient rescheduling.

 

4) Outpatient Monitoring
This IoT solution enables doctors to capture health parameters and advice patients remotely. The patient's hospital visit is therefore limited and needs to visit only on need basis. This solution helps hospitals manage hospital beds and consequently increase revenues while at the same time delighting customers. 

 Although, IoT implementations will likely raise concerns around data privacy and security. While most of today's devices use secure methods to communication information to the cloud, they could still be vulnerable to hackers. While we have yet to see a huge number of adopters of the Internet of Things in healthcare, its popularity is undeniably on the rise in other industries.

The era of digital transformation is not only upon us, it is already in full swing, accelerating at a blistering pace and reimagining every aspect of our lives. Connectivity, predictability, simplicity, and, therefore, speed and agility, are the digital building blocks critical to future success for all businesses. A successful and profitable business manages its expenses and revenue and, as digitization sweeps the world, puts IT and OT convergence, the Industrial Internet of Things (IIoT), and collaboration solutions to work to gain better visibility into expenses and better manage revenue priorities.

 

Profitability can be managed much more closely and more widely across a business than ever before – taking into consideration ALL the inputs that make your company profitable. Finding the sweet spot between the orders in your pipeline and what you will have to spend to produce those orders profitably can be made much easier by digitally managing the planning and order inputs, resources/waste, and production assets. 

 

With connected products and control systems, in addition to apps, analytics, and services, you can connect the systems that monitor not only the money coming in, but also the money going out for things like wages, raw materials, and equipment maintenance.

  1. Planning management

The convergence of production and planning data, and putting this information into the context of external factors that will affect your business can have a real and meaningful impact on the profitability of your production. Think about how the weather affects a farmer in real time: Thunderstorms (or worse) can influence logistics – a deluge can make roads impassable for heavy transportation; high winds can interfere with irrigation (and, therefore, production quality) by spraying water in the wrong direction. Rain can also influence the production schedule of an open pit mine in multiple ways – wages for staff who are onsite but not able to work, crippled transportation can hold up the supply chain and so on. In these scenarios, integrating weather forecasts with production and planning schedules can help businesses make better, more informed decisions like delaying production until profitability can be maximized.

 

  1. Customer order management

Digitizing customer orders and managing them across all business inputs can protect and enhance the profitability of your business. This is achieved through the convergence of operational technology data and information technology systems, giving you the ability to intelligently put information into context so you can make the right decision about how to profitably produce each order. Digitization also helps you provide speedy customer service by giving you the visibility you need to promptly answer customer queries regarding when their orders will be produced and shipped, and at what price.   

 

Digitized order management means being able to put all the information related to an order – like the terms & conditions, unit revenue, product details, quantities and timing – into the context of not only production and planning data, but also information on the availability and price of raw materials, and the cost of energy at the time production is scheduled. In addition, by linking HR systems, human costs can be calculated in terms of wages, workforce availability, and the potential cost of hiring additional human resources. For example, if you are a European manufacturer and you receive a big order in August, most if not all your workforce will be on vacation. Should you then hire temporary staff or call your workers back from their holidays, and at what additional cost?

 

  1. Resource management

Resource management is another key element when managing profitability, and one of the primary resources where better management can increase profitability is energy. Digitized systems deliver data so you can see where and how much energy is being wasted throughout a plant or even at the machine level. Armed with this information, you are better able to make informed decisions, in real time, that can reduce your energy expenditure without impacting production. The result is enhanced profitability.

 

In addition, material waste can also be optimized by digitizing a process and using a digital twin to design an object and its production tool – one optimizes the other to arrive at a happy medium between functionality and productivity by minimizing the amount of material wasted in production. Using digital tools to reach the point where profitability is maximized also reduces risk in real-life production.  

 

  1. Asset management

Connecting production assets makes it possible to optimize their use by ensuring the point of best operation is reached without damaging the asset. Connected products are also easier to maintain throughout their lifetime by being able to carry out maintenance before an asset is damaged.

 

Consider, for example, that a single machine can impact your ability to deliver new orders profitably. If the machine is accelerated to deliver more throughput, does the increased vibration on the machine become dangerous? Or, is the machine currently underperforming and do you have the ability to push it a bit more? What about the heat that the machine generates – does it have to cool every 12 hours so that it can’t run a 24-hour shift? This will impact your ability to run more shifts when big orders come in, and in turn, will affect the number of staff needed, along with many other variables. Thanks to digitization, you can leverage machine performance data that is collected from a connected machine to help you decide about your capacity to take on new orders profitably. In terms of profitability in this example, asset management is about making sure your assets aren’t damaged while pushing for greater profitability. 

 

  1. Knowledge management

At the apps, analytics, and services layer, software for predictive modelling can have a real impact on the profitability of a business. Knowledge management solutions built on a central database can improve work processes and share knowledge across a broad spectrum of users across an organization. The result is improved understanding of, and better responsiveness to, product quality – meaning business planning can be optimized and better business decisions can be made quickly.

 

If we take an example in the Oil & Gas industry, software that ensures that anyone who uses crude oil data across a business has access to the most consistent and up-to-date information across divisions including planning, scheduling, trading and operations, drives collaboration and means all divisions can contribute to making effective business decisions, and thus optimizing profitability.

 

As you can see, digitization allows the convergence of data from planning and production, customer orders, waste and asset management, with IT data and analytics to “virtually” visualize the profitability of a project before it’s even started. In the future, we are looking at how extending the reach across the complete ecosystem of an industrial automation business and bringing together technology partners, suppliers, system integrators and machine integrators, and other players, and giving them the space to work together to on a true business platform will improve profitability end to end.

 

“Reprinted with permission, original blog was posted here”. You may also visit here for more such insights on the digital transformation of industry.

 About ARC Advisory Group (www.arcweb.com): Founded in 1986, ARC Advisory Group is a Boston based leading technology research and advisory firm for industry and infrastructure.

For further information or to provide feedback on this article, please contact lkanickaraj@arcweb.com

About your guest blogger

IIoT digitizationLoic Regnier is a native of France with a background in engineering and marketing management. Loic joined Schneider Electric in 1997. Since then, he has held a number of roles in France and other area in the world (Italy, South Asia, Pacific countries and South Africa) – across a broad area of the business, including marketing, business development, project management, Global Accounts management and alliances.

Today, Loic is the VP, Strategic Thought Leadership, Industry Business for Schneider Electric.

The concept of artificial intelligence (AI) has been floating around for years.  At first it was just an idea discussed at universities by stereotypical academics.  But it has emerged, first test cases have been developed and then, in the form of intelligent personal assistants (Siri, Cortana, Alexa), developed into something that we are confronted with in everyday life.  There are new developments almost every month – in January 2018 AI delivered, for the first time, a better reading performance than a human.  It is only a matter of time, until AI will move into manufacturing. some OEMs are already involved in projects with universities.

The challenge here is not to use AI somewhere in the cloud for support, but to use it on the plant floor on a chip.  At the SPS/IPC/Drives show this year in Nuremberg only a few companies presented their solutions.  Among them was Intel, Cogito, a small start-up from Italy, and Mitsubishi Electric.  Cogito and Intel presented solutions around pattern recognition, which can be used for quality control.  While Intel’s solution on a chip was comparably slow (it used a standard FPGA), the Cogito solution is significantly faster.

Mitsubishi has already implemented its AI solution on a chip in air conditioning (so you know it has a competitive price point) and is now moving forward.

Mitsubishi Electric Corporation announced that it has developed a smart-control AI technology under its Maisart brand (Mitsubishi Electric's AI creates the State-of-the-ART in technology).  It enables devices such as industrial robots to understand and to adapt to changing conditions of target objects in real time.  The application of this AI technology in devices will simplify automation tasks, even in the case of dramatically changing conditions, such as adapting to the variable shape of a non-rigid object.  In a world of increasingly shortening product lifecycles this looks like a very compelling ability.

Ai%20Mitsubishi.JPG

Main features of Maisart 

  1. It uses AI technology and multiple sensors to understand changes in objects in real time
  2. The technology recognizes the state of an object via multiple sensors and then recognizes any change by applying smart-learning AI. Tests have shown that the technology can decrease learning time and understand changes in conditions in just 3.5ms through repeated estimations based on deep learning.
  3. Technology redesigns control algorithms autonomously in real time 
  4. The automatic generation of optimal control algorithms through deep reinforcement learning frees designers from having to redesign complex control algorithms.  Application of this technology in industrial robots etc., makes it possible for such devices to adjust to objects that are traditionally difficult to adapt to, such as flexible objects that change shape, weight, color, size, etc

Conclusion

Certainly, there will be hesitations towards AI. OEMs need to be willing to give up deterministic control to a system that develops outside of their sphere of influence.  Maybe a good analogy is management: you can either control and micro-manage everything or you teach your employees and trust them to do the right thing, once trained. Both are a shift in mindset and this takes much longer than to develop a new technology.

Where will this lead us? Hard to tell, but it appears to be like an accelerating Tsunami.  Just recently AI has even been used to make music compositions.

 

“Reprinted with permission, original blog was posted here”. You may also visit here for more such insights on the digital transformation of industry.

 About ARC Advisory Group (www.arcweb.com): Founded in 1986, ARC Advisory Group is a Boston based leading technology research and advisory firm for industry and infrastructure.

 For further information or to provide feedback on this article, please contact akanagali@arcweb.com

 

About the Author:

Florian Guldner

Director of Research

 

Florian is part of the automation team at ARC covering manufacturing topics in Europe and is located in ARC's offices in Germany. Florian's focus areas are the discrete industries with a special focus on PLCs, AC drives, motion control, and discrete sensors.

 

About ARC Advisory Group (www.arcweb.com)-  Founded in 1986, ARC Advisory Group is a Boston based leading technology research and advisory firm for industry and infrastructure.

Sakshi Goyal

Artificial Intelligence

Posted by Sakshi Goyal Apr 3, 2018

Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. It is also a field of study which tries to make computers "smart". All but the simplest human behaviour is ascribed to intelligence, while even the most complicated insect behaviour is never taken as an indication of intelligence. What is the difference? Consider the behaviour of the digger wasp, Sphex ichneumoneus. When the female wasp returns to her burrow with food, she first deposits it on the threshold, checks for intruders inside her burrow, and only then, if the coast is clear, carries her food inside. The real nature of the wasp’s instinctual behaviour is revealed if the food is moved a few inches away from the entrance to her burrow while she is inside: on emerging, she will repeat the whole procedure as often as the food is displaced. Intelligence—conspicuously absent in the case of Sphex—must include the ability to adapt to new circumstances.

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