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When it Comes to ML/AI, One Size Does Not Fit All

In this special guest feature, David Winikoff, Senior Director, SteelCentral Product Management at Riverbed Technology, believes that as AI and Machine Learning go from hype to reality, organizations must be cautious in adopting too quickly, as one size does not fit all. Here’s why – data fuels the AI and Machine Learning engine to produce insights and information, and how an organization collects that data will determine its ability to gain actionable and valuable insights and predictive outcomes. As a result, organizations must very carefully select technologies and partners that best meet their specific needs to take full advantage of the opportunities AI and ML offer.

If Data is the New Oil, We’re About to Bust

In this contributed article, Tracy Malingo, Senior VP of Product Strategy at Verint Intelligent Self-Service, a division of Verint, discusses how data certainly has the promise of becoming the next major industry, and with AI as its vehicle, the future seems just as lucrative and legendary as the rise of “Big Oil.” But we need to know how to utilize it. Otherwise we’ll bust before we even have the chance to boom.

How the Gig Economy Will Bring Big Data to Every Market

In this contributed article, Marcus Sawyerr, CEO of YOSS USA, discusses how today’s organizations need data in order to be successful, and they need data scientists to make use of that data. In order for both parties to thrive in this era, companies need to have the right strategies in place before they invest in freelance talent. When they do, freelance data scientists will have the opportunity to gather critical knowledge from the data and use their talents to drive innovation and success.

“Above the Trend Line” – Your Industry Rumor Central for 4/15/2019

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, industry partnerships, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning […]

Why Self-Service BI Tools Alone Can’t Build Data-Driven Cultures

In this special guest feature, Brett Hurt, CEO of data.world, suggests that while 99% of executives want a data-driven culture, it’s hard to build one. Enter the Chief Data Officer (CDO), tasked with capturing and growing the value of data and analysis within his or her enterprise. It’s not an easy job. True data-driven cultures aren’t built by buying expensive tools to empower the data elite. And while deploying self-service BI (business intelligence) tools is one important step in the right direction, the Chief Data Officer is on a journey.

Infographic: AI – The Secret to Sustainable Commerce

Artificial intelligence has the ability to streamline business operations by analyzing vast amounts of data to target inefficiencies in the system. The infographic below, courtesy of Noodle.ai, outlines how AI can streamline the supply chain and lead to a more sustainable business and happier customers.

Tips for Keeping Data HIPAA Compliant

In this contributed article, freelance human Avery Phillips believes healthcare providers need patients to trust them. Without patients, a clinic, hospital, or practice can’t continue operating as a successful business. The fear of having one’s data put at risk can make it difficult for patients to provide their personal information or discuss health issues. Healthcare professionals should make it clear to patients that their information will be kept confidential. The guidelines below can put patients’ minds at ease.

Pacific Data Science Launches “The Brain” – Automating Back-Office Workflows for Real Estate and Investment Management Companies

Pacific Data Science has launched its newest intelligent solution for commercial real estate and investment companies, The Brain. The Brain was originally developed in collaboration with Paladin Realty Partners, a leading private equity fund manager focused on institutional-quality real estate investments in Latin America. Built with the same reliability and security that Pacific Data Science is known for, The Brain was designed to manage the nuanced lifecycle and automate the complex reporting workflows around real estate investment and development projects.

How Big Data, AI and Biometrics Are Building Trust in the Sharing Economy

In this special guest feature, Labhesh Patel, CTO & Chief Scientist at Jumio, discusses how big data and digital identity will power businesses in the sharing economy in the future. The article looks at the massive amounts of data being collected from government-issued IDs (driver’s licenses, passports, etc.) and photos individuals take to verify they actually are who they say they are, and how AI and big data analytics can help these companies create a more frictionless experience and build trust that fraudsters are being kept at bay. Trust is the most important currency in the sharing economy, and big data, AI and identity verification will enable companies to retain it.

3 Non-Obvious Keys to Being AI-Ready

Data scientists know what they are doing, and most organizations have no cause to worry about the soundness of their machine learning (ML) algorithms. Where AI readiness typically lags is in other parts of the process. In most organizations today, the process of building, deploying and maintaining AI systems bears no resemblance to traditional IT. Alegion explores three key strategies your business can employ to be AI-ready.