The Northern Virginia Technology Council's inaugural Impact AI 2019 summit on March 21 will gather technologists in government and tech executives from companies in the region making advancements in artificial intelligence. The all-day event kicks off 7 a.m. at the Inova Center for Personalized Health Conference Center in Fairfax, Virginia, and will open with keynote speaker Toni Townes-Whitley, president of U.S. regulated industries at Microsoft. Midmorning keynote speaker Rumman Chowdhury, global lead for responsible AI at Accenture Applied Intelligence, will discuss building ethical, responsible AI. Impact AI will also feature Tech Talks -- NVTC's version of TED Talks. The MITRE Corp.'s Jay Crossler, chief engineer of operations, will present a cyber Tech Talk, and Booz Allen Hamilton's Kirk Borne, principal data scientist and executive adviser, will talk about the real power of AI and how it can help us better understand our data.

As the capabilities of Artificial Intelligence (AI) grow more powerful, we are concerned the data science community is unprepared for the power we now wield. To be clear, we're big believers in the far-reaching good AI can do. Every week we learn of new advances that will dramatically improve the world. Recently we've seen research that could improve the way we control prosthetic devices, detect pneumonia, understand long-term patient trajectories, and monitor ocean health. By the time you read this, there will be even more examples.

Accenture to Deliver 2017 RBS 6 Nations Insights to Fans via Machine Learning Official Technology Partner continues to innovate around fan experience, including new VR-based mixed reality experience demonstration LONDON; Jan. 23, 2017 – Accenture (NYSE: ACN), the Official Technology Partner of the RBS 6 Nations Rugby Championship for the sixth year, is bringing machine learning to international rugby. Its latest analytics dashboard will deliver improved player, match and Championship insight, which 20,000 people accessed via Twitter last year. Accenture has also developed an innovative mixed reality application for the Championship, using Virtual Reality (VR), with a twist. The one-person immersive VR experience is sharable, and broadcast as live action for others to watch. Insights from the dashboard will be fed to the Accenture Analysis Team, made up of former players and coaches.

AI Architect – Responsible for working out where AI can help a business, measuring performance and--crucially-- "sustaining the AI model over time." Lack of architects "is a big reason why companies cannot successfully sustain AI initiatives," KMPG notes. AI Product Manager – Liaises between teams, making sure ideas can be implemented, especially at scale. Works closely with architects, and with human resources departments to make sure humans and machines can all work effectively. Data Scientist – Manages the huge amounts of available data and designs algorithms to make it meaningful.

The future of work will be driven by artificial intelligence, and HR is woefully ill equipped to make it happen -- at least according to many reports about AI and HR. IBM, PWC and Deloitte (among others) have all done surveys on AI's impact on HR in the last 18 months, and the message is clear: companies want AI, but they don't have the talent, leadership or confidence in their human resources team to make it happen. IBM predicts that 120 million workers in the world's 10 largest economies will need to be reskilled in the next few years to adapt to an AI-driven marketplace -- and that if companies don't get started soon they will quickly risk losing their competitive edge. Yet its "Unplug from the past" report found that just 28 percent of CHROs expect their enterprise to address changing workforce demographics with new strategies. Even if companies are gearing up for an AI reskilling evolution, roughly half of their employees don't think they can pull it off.

We hear a lot of scare stories about automation, particularly when it comes to the workplace. Barely a week goes by without someone claiming we're all going to being replaced by robots, with automation making us redundant by the millions. It's easy to see why we – as employees and as businesses – would panic. But, in truth, artificial intelligence (AI) in the workplace is more of a nuanced topic. "AI tends to suffer from quite a polarised narrative," says Rob McCargow, director of AI at PwC, a professional services consultancy.

Businesses in every industry are scrambling to launch Artificial Intelligence (AI) and Deep Learning initiatives. Yet, overall success of these plans is highly dependent on their workforce, and the biggest challenge for businesses is a real scarcity of people who have production-level experience with AI. Plenty of reports – from Accenture, Deloitte and others – show the primary obstacle to successful adoption of deep learning is a severe shortage of talent. The talent landscape is affected by several trends, but is even more compounded as digital giants like Microsoft, Google and Apple tussle for the lion's share of expertise. For startups and even established companies, it's clear attracting the right AI talent is difficult at best.

Professional services firm, Accenture, has launched an Applied Intelligence platform at Mobile World Congress, Barcelona, which helps organisations make use of artificial intelligence (AI) without the need for deep data science expertise. The platform aims to allow organisations to apply pre-configured self-learning industry solutions, as well as develop new solutions. Accenture's team of industry specialists and more than 3,000 data scientists have already developed a range of 40 intelligent industry solutions for the platform that helps bridge the gap between information technology and operational technology. These include asset and fleet management solutions expected to unlock efficiencies across manufacturing, transportation and logistics and energy. Examples from the platform's suite of intelligent industry solutions include: The Applied Intelligence Platform builds on the proven Accenture Insight Platform through which Accenture has been offering analytics applications using machine learning and deep learning to clients. It will integrate these capabilities with edge analytics and Internet of Things (IoT) services, as well as access to more than 350 data sources, all made accessible via an on-demand, low-code platform.

As artificial intelligence (AI) technologies accelerate business transformation, with more decisions shaped by machine-learning (ML) algorithms, responsible use of these powerful tools is paramount. Moreover, appropriate governance must be in place to achieve desired outcomes. To help organizations manage and evolve AI responsibly, KPMG has introduced AI In Control, a framework supported by a set of methods, tools, and assessments to help organizations realize value from AI technologies, while achieving imperative objectives like algorithm integrity, explainability, fairness and agility. Increasingly, algorithms are making vital decisions that impact our lives. Their ubiquity is pushing society to demand that AI technologies be reliable and ethically sound, according to Professor Sander Klous, PhD, global lead of KPMG's AI In Control offering, and a partner with KPMG in the Netherlands.

A new global study finds that while the use of artificial intelligence (AI) is low today, it is expected to create increased revenue, productivity, profitability and shareholder value for businesses within two years. Overall, only 16 percent of business leaders surveyed perceive they are currently garnering significant value from advanced AI. However, AI programs are being fast-tracked and that number is expected to more than triple to 52 percent within the next two years. This is according to a new report, "Competing in the Cognitive Age: How companies will transform their businesses and drive value through advanced AI," by global consulting firm Protiviti in collaboration with ESI ThoughtLab. To understand how companies will transform their businesses through applications of advanced AI technologies and the benefits they expect to gain, Protiviti and ESI ThoughtLab conducted a global survey of 300 senior executives across functions, industries and company sizes in the third quarter of 2018.