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Reimagining the Future of Enterprise AI
Reimagining the Future of Enterprise AI

September 2, 2021

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As digital transformation takes centre-stage in the post pandemic era, industries are bound to experience an explosion of volume, variety, and velocity of data. Organizations across regions are being pushed to re-strategize work policies along with disaster recovery and business continuity plans. This continues to help improve business models, facilitate innovation, and serve as the foundation for industries to unlock the potential of futuristic technologies like artificial intelligence (AI), cloud computing, edge computing, the Internet of Things, and 5G.

Among these technologies, AI has now been recognized as a key enabler of digital transformation across industry verticals. From customer management to automated diagnosis, cyber security, and autonomous vehicles, AI is changing the way we live, work, travel, and, do business. Even developing countries, such as India, are uniquely positioned to succeed in the AI economy. According to a Nasscom report, data and AI could potentially add $450-500 billion to India's GDP by 2025.

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Preparing Businesses for an AI-led Future

The digital enterprise is already a reality. AI has transformed the way businesses are driving the right analysis towards product, business and societal excellence. Data is continuously generated, processed, and analyzed, and AI is constantly reshaping businesses by helping them unlock valuable insights from edge to cloud. Enabling organizations to run in an autonomous fashion and deliver non-discriminative ubiquitous experiences is advancing AI and cloud implementation across domains including BFSI, manufacturing, healthcare, education, and retail.

The advancements in AI are also helping to fully manage connected technologies in order to speed up business processes and help reduce human error. By 2023, there will be 50 billion devices and 500 billion sensors smartly connected to the internet. The connected world has created a deluge of data, and the need to analyze this data using the power of AI and machine learning (ML) for providing deeper and productive businesses and societal insights has never been stronger. What has come to surface is that to drive the fastest insights with AI, there are three needs.

1. Performance 2. Performance, and 3. Performance.

 

Keeping the need for a critically performant computing power for AI, organizations like Intel have been transforming into a more data-centric organization as well as a technology provider. Today, Intel has a plethora of hardware and software, to enable AI - from the data center to the cloud – and also accelerate AI at scale. We have also been driving a strong engineer-to-engineer relationship with AWS for more than 14 years and it’s reflected in our constant technology iteration, keeping the needs of our customers and partners in mind.

Solving Real-world Challenges

Real-world applications of AI are solving complex problems, making processes more efficient and creating new realities. The following case studies, featuring organizations from different verticals, will shed light on how we can use AI and ML applications to unlock valuable insights.

We are really proud of the National Data and Analytics Platform, which we developed along with Fractal.ai, to help analyze and make decisions related to Covid-19 disease progression for NITI Aayog - the public policy think tank of the Government of India. The solution delivered more than 100 dashboards using anonymized public and government datasets with hundreds of thousands of Covid-19 datapoints. ML models for disease transmission prediction, citizen mobility analytics, situational awareness of disease spread, and hospital care readiness were built to anticipate sustainable recovery scenarios for industry zones nationally.

Another great example is a project we had with the Ministry of Education, India. To keep education uninterrupted during Covid-19 and beyond, we used the Amazon Elastic Compute Cloud (EC2) instances featuring the Intel® Xeon® Scalable processors that helped to drive a 12% faster platform delivery towards education. Project Aspiration 2020, our learning platform, engaged a million students in India at the time of Covid-19 last year.

We also partnered with the University of Sydney to help save some of Australia’s most-threatened species, such as koalas, orange-bellied parrots, the Tasmanian devils, and the woollies. Researchers at the University of Sydney democratized data and drove ML models at a 16% faster performance rate on genomic sequencing on Intel/AWS platforms as well as instances.

Shaping the Future of Technology

AI-based solutions are becoming more and more advanced each day, transforming the way businesses operate, develop their products and services, and communicate with their customer base. AI is also becoming the backbone for multiple technological innovations that help enhance livelihoods and increase the prosperity of citizens across regions and in core sectors such as agriculture, finance, retail, healthcare, non-profit, and government. 

In the time of a crisis, new solutions must be explored to repurpose business models. By collaborating with industry leaders in AI and data analytics, businesses will be able to integrate AI into their apps seamlessly and realize faster time-to-solution, while also meeting the need for high performance and better TCO.

 

Views are personal. The author is Regional Alliance Head – AWS, APAC & Japan, Intel.

 

"The above piece is not an editorial and carries the views and opinions of the author while the author was a speaker at NASSCOM XperienceAI Summit , summarizing his talk."


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