Founded in 1991, India-headquartered HCL Technologies is a global technology company that helps enterprises reimagine their businesses for the digital age. The company specializes in key areas, including digital, IoT, cloud, automation, cybersecurity, and analytics, amongst others. With the company increasingly having a presence in the RegTech space, how does it see the sector changing? How is RegTech changing compliance? According to Daryl Wilkinson – Senior Executive, Strategic Initiatives, Financial Services UK&I at HCL Technologies, "I think you can look at this through two lenses. First, there appears to be a consensus that the global RegTech market is expected to achieve $30bn by 2027 – so that alone is changing the compliance market –new investment is disrupting incumbent models and is changing the way regulators engage with businesses. The second lens is cost; financial services rely heavily on legacy technology – RegTech's nature is to find that niche to solve those problems at a much lower cost than the banks and insurers might otherwise do themselves."

Deep learning engineers are essential, experts in Machine learning and Deep learning. They use DL platforms and libraries to perform specific tasks included within a larger AI framework. An AI project goes through a cycle of 5 different stages viz. Deep engineers carry out data engineering, modelling and deployment tasks. Their defining expertise lies in training deep learning models with proper evaluation metrics.

HCL Technologies (HCL), a leading global technology company, today announced it has joined NVIDIA Partner Network (NPN), the US-based technology company's partner program, with plans to pursue expanded opportunities in the Artificial Intelligence (AI) space. HCL also announced the launch of NEXT.ai, HCL's AI Lab, focused on upskilling engineers and architects utilizing AI solutions across hardware and software technology stacks. This will enhance their capabilities to build AI-led solutions for multiple HCL clients across industry verticals. The HCL NEXT.ai lab focuses on emerging technologies to develop industry-specific AI solutions for customers pursuing digital transformation.

Today's Daily AI Roundup covers the latest Artificial Intelligence announcements on AI capabilities, AI mobility products, Robotic Service, Technology from Blue Prism, HCL Technologies, Noble.AI, Tata Consultancy Services and 4Cite. To equip young talent with the digital skills and experience needed for the future job market, Blue Prism, a global leader in Robotic Process Automation, has collaborated with the EY Foundation, a UK charity helping young people access employment opportunities, to provide paid work experience and mentors through the EY Foundation ten month Smart Futures programme. HCL Technologies (HCL), a leading global technology company, announced that it has been named a Top Employer 2020 in the United Kingdom, Sweden, Germany, the Netherlands, Poland, France and South Africa. Dentsu Aegis Network has acquired 4Cite Marketing, a leading people-based identification and data services technology company.

Rather than allowing employee concerns to continue to mount, CTOs should work alongside their counterparts across the wider c-suite to start laying the groundwork for every single human employee to play a more strategic/decision-making role as part of an AI-augmented workforce. When CTOs hear fears of AI replacing jobs over the next few years, their message should be that people are stepping away from the factory floor and into the foreman's office. How can organisations ensure that the adoption of artificial intelligence will drive the desired business outcomes? Kalyan Kumar, Corporate Vice President and CTO at HCL Technologies, provides his insight. When people discuss AI, opinions are usually polarised into one of the two extreme schools of thought – those who believe that AI will make our lives better, and those who are convinced it will accelerate human irrelevance, leading to the loss of jobs.

CHICAGO, IL – A typical enterprise's journey towards becoming digital involves investing in several different technologies to drive growth and thrive in this complex era. Thus, you might see multiple tools being deployed in an enterprise trying to solve disparate challenges – ranging from provisioning/de-commissioning cloud, managing networks, process automation, and so forth. On average, every enterprise has tens and sometimes 100s of tools to provide a'point' or a'specific' solution. In fact, one of the top company representatives I recently met at a trade show mentioned that their enterprise with more than 3500 tools. They bought into this with the idea that they'd reach one cohesive outcome – which isn't happening because of the massive effort needed for integration to make them all work together Unfortunately, for them and many other companies, this'siloed' approach proves to be quite costly – a recent study suggested that more than 70% of the digital transformation programs are expected to fail.

Identifying and retaining the right talent is the name of the game for CHROs across the board. And it's not just this, the HR needs to ensure that there's absolutely no bias when it comes to internal job postings (IJPs). Staying one step ahead of the game is the need of the hour, and emerging technologies like predictive analytics and AI help CHROs do just that. A discussion with prominent players in the market and a company pioneering in using AI for HR, brings to light the necessity of using machine learning in a domain that has, until now, seen limited usage of cutting edge tech. While data is informative, it might be incomplete.

Though the customer base of any startup comprises vastly different individuals, they love to slice and dice them by demographics and psychographics, build a persona and write a piece of communication for each segment. This behaviour will change overnight if these businesses could write an ad or press release, not for five or 10 groups but thousands of individuals, at scale. Welcome to the Segment of One, the ability to track and understand individual customer behaviour. Currently, the use cases of AI mostly focus on how it will change the consumer's life. From self-driving cars to virtual reality, the focus is on supercharging existing products or, better still, new experiences altogether.

AI and machine learning is poised to transform IT process automation – necessitating a complete overhaul in your operational approach. On Jan 25 (12:00 pm EST to 5:00 pm GMT), our webinar on digital-readiness will look at how next-gen automation drivers can impact your IT maturity. Multi-modal IT and business agility are key objectives for enterprises striving to join the digital revolution. Traditionally, automation has been used to enhance resource efficiency and reduce costs. However, 21st century automation must go one step further – harnessing intelligent technologies for end-to-end business optimization.

Multi-modal IT processes are essential for agile businesses – however, flexible digitalization demands a'next-gen' operational approach. Join HCL experts as they discuss how the next phase in the evolution of automation will impact your digital-readiness. Tune in to our webinar to simplify IT automation with the power of AI and machine learning. AI and machine learning is poised to transform IT process automation – necessitating a complete overhaul in your operational approach. On Jan 25 (10:30 PM IST), our webinar on digital-readiness will look at how next-gen automation drivers can impact your IT maturity.