Click to learn more about author Chris Koverman. Identity management has been an obstacle for commercial insurance companies for a very long time. Many thought that problems would dissipate or at least become easier to correct by moving to digital systems, but in reality, identity management has only grown more complex. It is obvious that […]
Will They Blend? Twitter Meets Azure – Sentiment Analysis via API
Click to learn more about author Craig Cullum. In the “Will They Blend?” blog series, we experiment with the most interesting blends of data and tools. Whether it’s mixing traditional sources with modern data lakes, open-source DevOps on the cloud with protected internal legacy tools, SQL with NoSQL, web-wisdom-of-the-crowd with in-house handwritten notes, or IoT […]
Data Strategy and Machine Learning: How Do They Intersect?
With the tremendous growth of business data in terms of volume, size, and complexity, it is imperative that global enterprises develop a strong Data Strategy to address their core business needs. However, a realistic Data Strategy has to incorporate a clear road map with milestones, so that strategy documents do not end up as digital […]
Is Machine Learning a Good Fit for Your Product?
Click to learn more about author Juras Juršėnas. Not all machine learning applications have been met with resounding success. In fact, there’s a lot of disappointment involved. From overly ambitious projects to the expectation of ever being a finished product, machine learning is marred with false hope. I think Andrey Kurenkov has done a stellar […]
AI Hype vs. Reality: Consumer and Creator Attitudes Toward Smart Technology
Click to learn more about author Rachel Roumeliotis. The hype around artificial intelligence (AI) has grown significantly over the years. While the technology has been a major topic in the boardroom and a prominent headline in business and trade press, that’s only half of the equation. Let’s not forget, AI has been a pop culture […]
Artificial Intelligence, Machine Learning, and Deep Learning Explained
The first reference to artificial intelligence was in a paper written by Alan Turing in 1950, entitled Computing Machinery and Intelligence, where he asked the question, “Can machines think?” Turing’s article, as well as a 1977 paper entitled History of Artificial Intelligence by P. McCorduck are recommended reading for those wanting a greater understanding of […]
Five Myths About Artificial intelligence
Click to learn more about author Igor Tkach. There are very few subjects in technology and science that cause as much excitement and debate as artificial intelligence (AI). But with this excitement and rising interest comes a lot of speculation and unfounded beliefs that only create fear and doubt. There are a lot of myths […]
Speed Up AI Development by Hiring a Chief Data Officer
Click to learn more about author Jitesh Ghai. The role of the chief data officer (CDO) has evolved more over the last decade than any of the C-suite. A position once laser-focused on regulatory compliance is today one of the most strategic enterprise decision-makers. As companies plan for a rebound from the pandemic, the CDO […]
Four Reasons SaaS Analytics Is Exploding
Click to learn more about author Josh Good. Shifting to the cloud helped countless businesses keep the lights on in 2020, as widespread disruption gave them the means and motive to fully embrace Software-as-a-Service (SaaS) across their business. Cloud services are now serving as the foundation for how enterprises adopt products and services, including analytics […]
The Third Pillar of Trusted AI: Ethics
Click to learn more about author Scott Reed. Building an accurate, fast, and performant model founded upon strong Data Quality standards is no easy task. Taking the model into production with governance workflows and monitoring for sustainability is even more challenging. Finally, ensuring the model is explainable, transparent, and fair based on your organization’s ethics […]