Automated data storytelling is the future of analytics. Its rise, meanwhile, could signal the demise of self-service analytics. That was the premise of a presentation by James Richardson, a research director at Gartner who spoke on Feb. 24 during a virtual conference hosted by data storytelling vendor Narrative Science. According to Gartner, data storytelling will be the most widespread means of consuming analytics by 2025. In addition, by then a full 75% of data stories will be automatically generated using augmented intelligence and machine learning rather than generated by data analysts.

Editor-at-Large based in London, United Kingdom, United Kingdom. Expertise in Internet, Music, Unemployment, Sexual health, Stocks & trading, see all» Education, General business news & info, Careers & workplace, Pharmaceuticals, Government, Environment & green living, Concerts, Small business, Celebrities, Books, Drinks, Video games, Science & space, Automotive, Sports, Technology, Movies, Board games, Charity & volunteer work, Jobs, Social media, Politics, Food, dining & restaurants, Travel, Pets, Health, Men's health, Food, recipes, Women's health, Entertainment Over the next decade, businesses will face maturing cybercrime and renewed nation-state cyberattacks. Both of these threats are key areas for which businesses need to be aware, as well as for governments to take action. Electric scooters are growing in popularity in many parts of the world. While the safety risks have been well-publicised, such as data posted by the U.S. CDC, the cybersecurity risks are not as well known – and yet these could be equally serious.

In this special guest feature, Glen Rabie, CEO of Yellowfin, discusses how alerts are commonly used as a basic business intelligence tool, but there's a better alternative: AI-driven automated analytics. AI has the power to parse the data behind dashboards and send a signal when significant activity happens. Here are five reasons why AI-driven automated analytics are better than alerts in today's evolving business landscape. Yellowfin is an Analytics and Business Intelligence software company focused on helping businesses understand their data. Rabie is passionate about data and improving business performance through analytics.

In this special guest feature, Glen Rabie, CEO of Yellowfin, believes that while many analysts may fear they will be replaced by automation and AI, the role of the data analyst will increase in significance to the business and breadth of skills required. Yellowfin is an Analytics and Business Intelligence software company focused on helping businesses understand their data. Rabie is passionate about data and improving business performance through analytics. Prior to starting Yellowfin, he worked in various roles at National Australia Bank including senior e-business consultant and global manager of employee self-service. Rabie holds a Masters in Commerce from the University of Melbourne.

Hyperparameter tuning is one of the most time-consuming workloads in deep learning. State-of-the-art optimizers, such as AdaGrad, RMSProp and Adam, reduce this labor by adaptively tuning an individual learning rate for each variable. Recently researchers have shown renewed interest in simpler methods like momentum SGD as they may yield better test metrics. Motivated by this trend, we ask: can simple adaptive methods based on SGD perform as well or better? We revisit the momentum SGD algorithm and show that hand-tuning a single learning rate and momentum makes it competitive with Adam. We then analyze its robustness to learning rate misspecification and objective curvature variation. Based on these insights, we design YellowFin, an automatic tuner for momentum and learning rate in SGD. YellowFin optionally uses a negative-feedback loop to compensate for the momentum dynamics in asynchronous settings on the fly. We empirically show that YellowFin can converge in fewer iterations than Adam on ResNets and LSTMs for image recognition, language modeling and constituency parsing, with a speedup of up to 3.28x in synchronous and up to 2.69x in asynchronous settings.