It's that time of year again. Before you open up the presents under the tree, I've got some geekier gifts. In response to execs and luminaries from across the world of data and analytics sharing their predictions for the next year, I've dutifully compiled and stitched them together. Also read: Analytics in 2018: AI, IoT and multi-cloud, or but Also read: Big Data's 2018: Can more meta thinking free us from current malaise?Also read: Big Data Predictions for 2019 Gather round, and soak up this year's batch, which focus on artificial intelligence, data regulation, data governance, the state of the Hadoop market, open source and "the edge." Intelligent predictions about artificial intelligence Predictions about artificial intelligence (AI) are all over the map. They range from optimistic and starry-eyed to a bit more skeptical and jaded. For example, David Judge, SAP's Vice President of SAP Leonardo, Machine Learning and Intelligent Process Automation, sees a bright future: "In 2019, AI will continue to make our work lives easier, and allow us to accomplish more...Workers will choose to own certain tasks or delegate projects to the machine based on our preference.
You like to read:-
https://innovationalofficesolution.com/Blog/detail/when-to-use-power-automate-
" But Talend's CTO, Laurent Bride, is a bit more sanguine, saying "Questions around data morality will slow innovation in AI/ML." Bride's point is that now that we're getting over our AI worship and are trying to make it useful, we are appreciating the moral and ethical dilemmas better. He believes that immediate innovation will pause (not sputter) "as researchers try to hash out a fair, balanced approach to machine-made decisions." Maybe innovation will slow, but lots of our predictors believe Enterprise deployment of existing AI innovations will widen and deepen. Monte Zweben, CEO of Splice Machine says "Machine Learning will enter an operational phase, getting out of backroom experiments to move into the fabric of real-time, mission-critical, enterprise applications." Ketan Karkhanis, SVP and GM Analytics at Salesforce, believes "2019 will be the year when AI-led analytics (known as Automated Discovery) will become mainstream.
" And Vijay Rayapati, General Manager at Nutanix, explains "AI will go mainstream and will become the new API for developers as intelligence will drive the next wave of business software services to be autonomic." Keep it safe You can't have good AI without good data, though. And you can't have data integrity without governance and regulatory compliance. As a result, the European Union's GDPR (General Data Protection Regulation) looms large, and so do the topics of governance and data catalogs. Langley Eide, Chief Strategy Officer at Alteryx, used the following headline for one of his predictions: "Governance & Data Cataloging Become Key to Collaboration." Tomas Honzak, Chief Information Security Officer at GoodData, believes "Global Privacy, Regulation, and Governance will continue to keep security professionals up at night" and, with respect to GDPR's European pedigree, states that "The United States will continue to fall further and further behind in competency and international relations as our federal compliance efforts simply aren't moving fast enough to meet worldwide requirements." That said, Talend's Bride, believes the US will get in the data protection game, saying "The 'G' in GDPR Will Soon Stand for "Global"and goes on to explain how "California, Japan and China are already working on their own regulations to adopt rules similar to the EU's GDPR." Mike Puglia, Chief Product Officer, Kaseya, might agree, saying "we are seeing more worldwide regulations go into effect".
Visit- https://innovationalofficesolution.com
You like to read:-
