Four Ways SMBs Can Harness the Power of Data, Without a Data Scientist

In this contributed article, Robyn Meyer, Vice President, Solutions at Transportation Insight, delves into the challenges faced by small and medium-sized businesses (SMBs) in leveraging data effectively and offers practical strategies to overcome these hurdles.

Finding a Purple Swan with Predictive Analytics

In this contributed article, Vijay Veerra, Principal Consultant of Business Solutions and Research with Altimetrik, discusses the power of predictive analytics in identifying “purple swans” and their potential impact on businesses. Purple swan refers to a rare yet foreseeable event that offers unparalleled rewards. This article explores how companies can use predictive analytics to spot these events on the horizon, set their course accordingly, and sail toward a promising future.

Emerging Tools and Frameworks in AI: A Comparative Analysis

In this contributed article, graphic designer and content writer, Erika Ballo delves into some emerging tools and frameworks in AI, comparing their strengths, usability, and ideal use cases.

GenAI’s Role in Testing

In this contributed article, David Brooks, SVP of Evangelism at Copado, discusses how much has been said about AI’s ability to generate code. But what is often overlooked is its ability to generate test scripts as well. Test scripts are susceptible to hallucinations just like code. So while GenAI can easily create the script, it is your responsibility to review the results.

The Future of AI Startups: Explainability Is Your Competitive Edge

In this contributed article, Lucas Bonatto, Director of Engineering for AI and ML at Semantix, discusses how generative AI applications extend from physiotherapists using text-to-video tools demonstrating patient recovery exercises to coding Q&As that decrease network language complexity. These pre-trained ML solutions, which previously required highly skilled teams to train, close the gap between tech giants and digital novices—but that’s if they understand the fine print.

Starting Your Advanced Analytics Journey: Three Areas to Focus On

In this contributed article, Amish Amin, executive director, security and analytics, Comcast, discusses the importance of advanced analytics when it comes to cutting through the massive amounts of data within a single organization. In large organizations today, the amount of data that needs to be sifted through continues to grow in volume. In fact, the global datasphere is expected to
more than double between 2022 and 2025. Not only is there an incredible amount of information, but there aren’t enough people to properly analyze it all. In his piece, Amish explains that by applying advanced analytics, organizations can drive valuable insights, cut through the noise and, ultimately, increase efficiency. He also outlines three areas to consider when it comes to an advanced analytics initiative and four best practices.

AI Won’t Eliminate Programming, But Can Make It Better

In this contributed article, Mike Loukides, Vice President of Emerging Tech Content at O’Reilly Media, makes the argument that the number of programmers who will be “replaced by AI” will be small and explains how the use of AI will change the discipline for the better.

IBM’s Groundbreaking Analog AI Chip: Ushers New Era  of Efficiency and Accuracy  

In this contributed article blogger Justin Varghise discusses the ground breaking advancement for AI that IBM has unveiled – a cutting edge analog AI chip that promises and  has potential to redefine the landscape of deep neural networks (DNNs). This chip is 100 times more  energy-efficient and up to 10 times faster than traditional digital AI chips for performing deep neural  network (DNN) computations. 

Understanding the Power of Feedback Analytics 

In this contributed article, Ryan Stuart is the co-founder and CEO of Kapiche, discusses feedback analytics and how it is a means to unlock deeper customer insights, with five concrete examples of how to use feedback analytics to drive innovation and growth.

The Government Needs Fast Data: Why is the Federal Reserve Making World-altering Decisions on Stale Data? 

In this contributed article, Alex Izydorczyk, founder and CEO of Cybersyn, discusses an important question: Should there ever be “very big surprises” (or any surprises, for that matter) in the data on which the Federal Reserve bases decisions on?