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Ethical AI: Five Guiding Pillars

This new white paper addresses the fact that today’s leaders are faced with a true conundrum: how can the enterprise benefit from new opportunities created through artificial intelligence while still safeguarding the well-being of employees, customers and society?
To help guide leaders through this paradox, which is growing ever-more complicated and relevant, KPMG has identified five proposed actions organizational leaders can take to create an ethical enterprise and sustain it into the future through governance and control of AI.

insideBIGDATA Latest News – 12/5/2019

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Access and Embrace the Future through AI

In this contributed article, Poornima Ramaswamy, Vice-President of Cognizant Digital Business’s AI and Analytics Practice, details the steps businesses can take to achieve their desired business outcomes with AI. AI is a two-part journey: getting ready and applying. Organizations that prepare for the AI evolution will be able to access and embrace the future and surpass their competition in the process.

It’s Time to Get on Board with the AI Evolution Before it’s Too Late

In this contributed article, Mike Fitzgerald, Chief Innovation Officer at SoftwareONE, believes there are several factors regarding AI that companies need to take into consideration, from governance laws and how they will impact data, the impact AI has on culture, and how the future of AI will influence business decisions. In order to optimize AI and use its power for the greater good of your business, one must have an understanding of these components of the AI evolution.

“Above the Trend Line” – Your Industry Rumor Central for 11/25/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Why AI will be Inhuman

Cyber security provider F-Secure has launched a new research project to further develop the decentralized artificial intelligence (AI) mechanisms currently used in its detection and response technologies. The initiative, dubbed Project Blackfin, aims to leverage collective intelligence techniques, such as swarm intelligence, to create adaptive, autonomous AI agents that collaborate with each other to achieve common goals.

DataRobot Reports that Nearly Half of AI Professionals are Very to Extremely Concerned about AI Bias

DataRobot, the leader in enterprise AI, released new research revealing that nearly half (42%) of AI professionals across the U.S. and U.K. are “very” to “extremely” concerned about AI bias. The research — based on a survey of more than 350 U.S. and U.K. executives involved in AI and machine learning purchasing decisions — uncovered that “compromised brand reputation” and “loss of customer trust” are the most concerning repercussions of AI bias, prompting 93% of respondents to say they plan to invest more in AI bias prevention initiatives in the next 12 months.

DDN Expands Data Management Capabilities and Launches New Range of Platforms for AI and HPC

DDN®, a global leader in artificial intelligence (AI) and multicloud data management, announced new infrastructure and multicloud solutions. DDN announced the next generation of SFA® platforms, new data management features of its EXAScaler® “EXA5” file solution, which will be generally available over the next two calendar quarters.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – October 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

“Above the Trend Line” – Your Industry Rumor Central for 11/18/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.