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5 Reasons Why You Still Need to Backup Your SaaS Data

In this special guest feature, Madhan Kanagavel, CEO of FileCloud, discusses the question: should a discerning company with its eye vigilantly on the bottom line employ backup when it’s already invested in the safety net of SaaS? The short answer, and one every CEO needs to hear, is a resounding yes.

R2.ai Launches SaaS-based AutoML Tool to Drive Mass AI Adoption

R2.ai, which enables businesses and individuals to develop AI solutions on their own, announced the availability of its software as a service (SaaS) offering. Originally an on-premise solution, R2.ai’s new SaaS platform makes it easier for a broader range of businesses and individuals to develop and deploy AI with little AI expertise.

FICO Xpress Insight Enables Users to Operationalize Analytics

FICO announced a community version of FICO Xpress Insight, a decision support application that enables data scientists to rapidly deploy any advanced analytic or optimization model as a powerful business application.

Dremio Launches Free Online Training Courses for Data Engineers, Analysts, and Data Scientists

Dremio, the Data-as-a-Service Platform company, announced Dremio University, a free online training program for data engineers, analysts, and data scientists. Each Dremio University track is designed to solve today’s data challenges and help maximize the potential of Dremio’s Data-as-a-Service platform.

How Machine Learning is Improving Business Intelligence

In this contributed article, Lauren Adley, writer and editor at Essay Writing In Australia, discusses how machine learning (ML) is improving BI. The ML ability to streamline operational processes is probably its most important way. With the help of intelligent IT automation, productivity boosts can be massive, and this is why this aspect of ML is attracting a lot of attention.

Sustainability, Big Data, and Corporate Social Responsibility

In this contributed article, Magnolia Potter discusses how using big data to create an action plan for corporate social responsibility yields positive results for more than just the intended social and environmental causes. It also demonstrates a modern company’s active commitment to its clientele’s values, creating a relatable element — particularly in a B2C relationship — that can directly lead to growth within its customer base.

Digital Love: How “Love Song” was Written with the Help of AI

This Valentine’s Day, an AI has collaborated with humans to write a beautiful love song for you. Just think of it as a little computer love. “Love Song” was written with the help of Amadeus Code, the AI songwriting assistant that takes data from centuries of music to inspire songwriters with melodic ideas. While Amadeus Code can assist in the creative process, like any AI, it cannot feel love. This is why collaboration with the Amadeus Code team was necessary to fully bring the track to life.

Machine Learning Deployment Options: in the Cloud vs. at the Edge

In this special guest feature, Neil Cohen, Vice President at Edge Intelligence, examines the question: where should businesses develop and execute machine learning? This article explores the pros and cons of in the cloud versus at the edge.

How Big Data Helps Vaccines Improve

In this contributed article, freelance human Avery Phillips believes that the possibilities with big data and vaccinology are endless. Lists could be automatically generated to identify under-vaccinated populations, determining what vaccines are overdue, and giving reminders to doctors and the public. Systems such as these might be the best use of big data in the quest of delivering holistic and safe health to people around the globe.

The Role of Analytics in Product Development

In this special guest feature, Monty G. Myers, founder and CEO of Eureka Software Solutions, Inc., believes that if metrics are the vehicle that drives product development, analytics is the gasoline that provides the power. Without analytics, the information generated by metrics is just a pile of data. Analytics is crucial to product management for one significant purpose: product improvement. Analytics plays five important roles in product management.