Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. In an era when biopharma research in drug R&D continues to be costly and slow, and artificial intelligence (AI)-based drug discovery platforms are rapidly growing, Paris-based pharmaceutical leader Sanofi announced its latest massive AI drug discovery deal, this time with startup Insilico Medicine, worth up to $1.2 billion. The research collaboration comes on the heels of several other high-value AI drug discovery partnership announcements from Sanofi, including with Atomwise in August; a partnership expansion with Exscientia last January; and an equity investment in Owkin a year ago. In June, Sanofi's global head of research platforms, Matt Truppo, said that the goal of these AI collaborations is to reduce drug development timelines by "a few years," which in turn brings down costs. According to an Insilico press release, pharmaceutical companies are moving in one of two directions: "Either they are cutting their AI software projects and firing departments, or, like Sanofi, they are doubling down on innovative technology – partnering with leading biotechs to develop new therapeutics using AI."

The A-Team Group presented the award on Sept. 22nd at the 12th Annual Data Management Summit in New York. The A-Team Group recognizes leading data management solutions, services, and consultancy providers to the capital markets. The A-Team's editorial team and Advisory Board determine the winners by considering the depth of involvement in the capital markets, the relevance of a solution or service to a selected award category, and the potential interest of a solution or service to the Data Management Insight community. "At eClerx, we are excited that Robowork has won the Data Management Insight Awards 2022," said eClerx Global Head of Technology Sanjay Kukreja. "Roboworx is our leading RPA and Intelligent Automation platform and has been adopted by a number of our clients to deliver intelligent automation in their processes. It is an award-winning platform that has won a number of accolades across the globe for its use cases and adoption."

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."

Toby: My role here at Darktrace is the Global Head of Threat Analysis. My day-to-day job involves looking at the 100 or so cybersecurity analysts we have spread from New Zealand to Singapore, the UK, and most major time zones in the US. My main role is to evaluate how we can use the Darktrace platform to work with our customers. How can we ensure that our customers get the most out of our cybersecurity expertise and support when using AI to secure their network? The other half of my role at Darktrace is subject matter expertise. This role involves talking to reporters like yourself or our customers who want to hear more about what Darktrace can do to help them from a cybersecurity perspective, discussing the context of current events. That part of my role was born out of a nearly 20-year career in cybersecurity. I first started in government and was one of the founding members of the National Cybersecurity Center here in the UK.

Darren Oberst, Senior Corporate Vice President and Global Head of HCL Software, joins Innodata's Podcast, Absolute AI, as a guest on the topic, Conversations With the Humans Behind Artificial Intelligence. Darren discusses how he transformed his lifelong passion into a career in international leadership. At 10 years old, Darren learned to program. He wrote computer games, sold them to friends and even wrote his own computer language. As a techie at heart and a machine learning hobbyist, he eventually moved to the business side.

The half-dozen industry leaders who recently convened for this virtual roundtable found immediate common ground in the staunch belief that as powerful a tool as AI is to help smart communicators do their jobs even better, its value is very much linked to human input and guidance. "Technology tools and intelligence data can help us become more performative," says Aaron Kwittken, founder and CEO of PRophet, an AI-driven, SaaS platform designed for and by PR pros. "But sometimes we focus too much on the artificial side of AI, as opposed to the augmented side." The assembled leaders were quick to detail some of the key PR functions in which AI can either enhance or expedite their efforts. Myriad media benefits "AI should be feeding us suggestions for content creation, giving us a first draft, creating a list of pitch targets and taking a first swing at how we might personalize the pitch to individual reporters," offers Nationwide CCO Brian Grace.

Companies across all industries are pumping resources into robotic process automation (RPA). In as little as two years, RPA leaders -- those companies we've identified as already ahead of the curve -- will be using bots in virtually every function within their organisations. To help executives make the most of this fast-growing technology, Protiviti partnered with ESI ThoughtLab to survey 450 companies across various regions, industries and sizes to understand the differences between the practises of RPA leaders and organisations that are less advanced. Our research highlights the most effective best practises and powerful lessons learned from those adopting RPA. Our full report contains extensive analysis of key insights gathered from survey participants across a number of dimensions, including use and maturity, now and anticipated, benefits of RPA, obstacles to adopting RPA, and lessons learned.

LONDON (Reuters) - When banks were flooded with loan requests from businesses struggling with the fallout of the coronavirus pandemic, hastily built robots helped several lenders cope with the deluge. The bots were one of many quick technology changes deployed across the industry during the crisis, a contrast to the slow progress it's made in the past two decades to improve technology in the face of increasing competition from fintech rivals. Now the jolt from the COVID-19 pandemic has accelerated the process even though banks globally are having to cut IT spending this year for the first time since 2009, based on data from research company IDC. "Bots allowed us to process a much higher volume of applications than we would have been able to do before. It meant the timelines didn't get longer with the massive volume," said Simon McNamara, chief administrative officer at Britain's NatWest, which has granted more than 13 billion pounds ($16.90 billion) of state-backed loans.

"Nineteen per cent of organisations are not using AI at all, and 54 per cent are still limited to trials, evaluations, and proof of concepts." Nash Palaniswamy, General Manager, AI and HPC Solutions, Intel, said at the opening keynote of Intel AI Summit 2020, highlighting just how much of an opportunity and value there still is for AI to deliver value to a wide range of enterprises in every sector. Intel is helping organisations realise the value of AI across ecosystem, software and hardware solutions, Palaniswamy added. Intel's AI solutions encompass five key areas: Intel has developed this approach to AI based on its vision of AI that will become ubiquitous soon. Intel's Exascale for Everyone vision, introduced by Raja Koduri, Chief Architect, Senior Vice President of Architecture, Graphis & Software, Intel, in The Path To AI Everywhere keynote, is built on the premise that there will soon be 100 billion intelligent connected devices, and the drive towards that milestone is doubling the compute demands worldwide every 3.4 months.

By now, it is obvious to everyone that widespread remote working is accelerating the trend of digitization in society that has been happening for decades. What takes longer for most people to identify are the derivative trends. One such trend is that increased reliance on online applications means that cybercrime is becoming even more lucrative. For many years now, online theft has vastly outstripped physical bank robberies. Willie Sutton said he robbed banks "because that's where the money is." If he applied that maxim even 10 years ago, he would definitely have become a cybercriminal, targeting the websites of banks, federal agencies, airlines, and retailers.