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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.

The Future of the DBMS Market Is Cloud

This Gartner whitepaper, sponsored by Striim, offers a glimpse for where databases are headed: “The Future of the DBMS Market Is Cloud.” Database management system deployments and innovations are increasingly cloud-first or cloud-only. Data and analytics leaders selecting DBMS solutions must accept that cloud DBMS is the future and must plan for shifting spending, staffing and development accordingly.

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.

TOP 10 insideBIGDATA Articles for November 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

How AI is Uncovering Hidden Treasures in Online Conversion & Revenue Growth

In this special guest feature, Michael Scharff, CEO of Evolv, believes that in the rapidly evolving world of e-commerce, today’s ideal customer experience may not be so ideal tomorrow. Fortunately, retailers can now use the power of AI and data-driven insights from online customer behavior to define that optimal experience today as well as in the future.

How Amazon Used Big Data to Rule E-Commerce

In this contributed article, tech blogger Caleb Danziger outlines some reasons Amazon and big data plans often arise in discussions about why companies thrive. Amazon is an e-commerce giant in today’s consumer landscape, and its success didn’t come by accident. The brand frequently taps into big data to make decisions, stimulate purchases and please customers.

2020 Trends in Data Modeling: Unparalleled Advancement

In this contributed article, editorial consultant Jelani Harper discusses how data modeling for 2020 and beyond will increasingly become characterized by data shapes, digital twins, ensemble modeling, ongoing model management, and model validation measures to satisfy what is quickly becoming the most demanding task in the data sphere.

How Big Brands Are Using Automated Data Analytics That Bring Results

In this special guest feature, Steve Habazin, Content Management Specialist with Latana, discusses how big brands are choosing and using the right data analytics that will bring results. Data, data, data. Something very valuable to brands. They need it in order to make informed decisions and in the long term, make their brand grow.