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End of Biometric attendance. Is Facial Recognition next?

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Given the highly contagious Covid-19 threat, the use of biometric machines has come under scanner Consider this: A steel plant has thousands of contract workers. The plant has now restarted after the pandemic. The bio-metric machine used at the security is now a risk. However, a reliable alternative is needed to check the impostors entering the plant in place of actual workers. Could facial recognition attendance system be an alternative to bio-metrics ? Face recognition As facial recognition technology adoption by mobile companies demonstrates, facial recognition is emerging as a hands-free way to gain access. However, facial recognition algorithms must still overcome some significant challenges to become mainstream. Challenges for Adaption of Facial Recognition Costs Advanced technology ...

The top 10 characteristics needed by leaders to adapt to changing technology- AI and YOU

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There may be various reasons for resistance to AI within your organization. This resistance leads to slower adoption, reluctance to fully uncover the true potential of the human-machine collaboration or even no adoption of technology at all.   Leaders must ensure they have compelling, meaningful answers to burning questions, strategize and plan well in advance and also begin by first developing characteristics that will aid in their own ability to adopt AI at the leadership level.   The top 10 characteristics defining your ability to adopt AI are: Adaptability– The ability of the organization to keep pace with new developments in AI must be kept at a close watch. Applicability- Successful AI innovation depends on how well it is applied to a given business context. Data Mana...

Competing in the Age of AI

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How machine intelligence is changing the rules of business and what should companies do to stay on top?  Artificial intelligence (AI) is a branch of computer science that makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. According to IDC, Companies are forecast to spend $98 billion on AI, globally in 2023. This stems from the fact that more and more businesses continue to invest in projects that utilise the capabilities of AI software and platforms. For example, most companies have turned to chatbots or automated customer service agents for their customer services. In the current scenario, the world is grappling with a global pandemic, the COVID-19. This has forced most of the countries into lockdown and changed the way businesses f...

Watch Where You’re Going? – AI and the Media Industry

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It’s the crisis period. A worldwide lockdown was thrust upon you. While you’re already used to sitting on that couch occasionally to ‘Netflix and chill’ after a tiring workweek, this time you don’t have other alternatives for entertainment beyond that couch. You’re browsing through the content across all OTT platforms and eventually end up binge-watching innumerable shows. All of these suited to your taste, almost tailor-made for you. In the end, you’re possibly a satisfied consumer of the content. Better still if you belong to the other end, the one involved in serving this content. Understanding consumer behaviour is imperative when providing tailor-made solutions to users and AI plays a major role in generating favourable outcomes. Machine learning algorithms are fed with data segmentat...

The Rise of Cognitive QA in the IT Industry

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Artificial Intelligence (AI) and Machine Learning (ML) are transforming different aspects of our life. Organizations across various industries are harnessing the power of AI to automate mundane, labor and time-intensive tasks, reduce costs, and make informed decisions. AI has entered our homes to tell us which channels to watch on TV and which movies to go for next; home security systems, personal digital assistants are getting upgraded as we speak, to cater to our every need. The area of software development is no different. By applying problem-solving and logical reasoning algorithms, AI can be used to automate repetitive and time-consuming tasks in development and testing. Experts are trying to bridge the gap between human and machine-learning-driven testing capabilities. Evolution of t...

AutoML – Accelerate, Democratize and Scale AI

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The most fascinating thing about machine learning (ML) is that it can be applied to itself to accelerate and scale its own development, which is the core idea behind automatic machine learning (AutoML). Gartner predicts that by 2020, more than 40% of the data science tasks would have the possibility of being automated. AutoML aims to do just that, makes decisions in a data-driven, objective, and automatic way. Source: Microsoft The user is supposed to just feed in data, and the AutoML system automatically determines the approach that performs the best for the particular problem and builds an ML model.  It aims to automate the entire AI workflow. All the user needs to do is feed in data and validate the model. It can take care of data cleaning, feature pre-processing, model selection and pa...

Artificial Intelligence & Automation takes center stage amid Covid-19 lockdown and the need for faster results

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In the current scenario, the adoption of digital and artificial intelligence technologies are likely to have a substantial economic and social impact across countries, as that is the only way forward for faster work processes with minimum human intervention. AI and automation have become the need of the hour As lock-downs continue to happen across countries there is a need for governments to evaluate the possibility of incorporating automation across key industries in order to function better specially in these challenging times. Notably, Automation has the potential to alter nearly every facet of work and daily life. Indeed in some areas automation, digital, and artificial intelligence (AI) technologies are already becoming an essential part of our professional and civic lives. The McKins...

Demystifying Tech for the TECHADE: Artificial Intelligence (AI)

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Back in 1956, John McCarthy defined AI as “The science and engineering of making intelligent machines.” AI makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. AI along with its component technologies is transforming enterprise digitalization by generating insights from complex, real-time and multi-source data. AI can be structured along three evolutionary stages. Source: Edureka Global State-of-the-Market for AI As per IDC, the global AI spend stood at USD 37.5 bn. in 2019 and is expected to reach USD 97.9 bn. by 2023. Significant implementation of the technology has been witnessed in banking, retail, manufacturing, healthcare and professional services sectors, accounting for more than 50% of the overall global AI spend in 2019. Secto...

The AI Roadmap – Executing AI Strategy within your Organization

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Having a strategy for AI implementation and/or digital transformation isn’t enough. Let’s face it, you’re seeking to redefine processes within the organization by restructuring its fabric. AI implementation must result from measuring internal and external capabilities of the organization along with adequate risk assessment. Join the puzzle pieces together If you’ve limited strategic mapping and the applicability of AI to specific parts or processes of an organization, you will end up losing focus of the organization as a whole. The Gestalt School of thought in Psychology works as a great example in this case. When trying to make sense of the world around us, the human mind tends to perceive objects and beings as parts of greater and more complex systems instead of being isolated or in part...

Weaving AI into Your Organization – What’s your strategy?

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Crafting a digital strategy can be challenging for organizations. With the evolution of Artificial Intelligence(AI) and the ever-changing dynamics of innovation through digital transformation, execution and implementation of digital strategy is almost a herculean task. That said, organizations cannot ignore the importance of formulating and implementing a digital strategy to drive growth in an evolving global ecosystem. Organizations(traditional to modern to everything in between) need to create a comprehensive plan for adopting AI and digital transformation. Where should I Start?   Setting your foot into AI begins by identifying key business functions within your organization. Demarcate focus segments within business functions and find sub-disciplines within them. It’s now time to as...