Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Who Done It? 3 Possible Suspects in this Halloween’s Bad Data Horror Movie, And How Data Teams Can Make It Out Alive
October 31, 2023 by Leave a Comment
In this contributed article, Lior Gavish, CTO and Co-Founder of Monte Carlo, outlines some of the ways companies can erase themselves from ever appearing in these bad data horror stories, ranging from simple tips to bolster governance within their organization, to tools and best practices that will save data teams the time, hassle, and headache that comes with dealing with bad data.
Borderless Data – Acting Locally, Thinking Globally
October 24, 2023 by Leave a Comment
In this contributed article, Alasdair Anderson, VP EMEA, Protegrity, discusses the challenges facing data and technology leaders and role automation plays in ensuring compliance. Giving organizations the speed and adaptability so vital in today’s digital economy.
What Impact Will Ethical AI Have on the Future of Data Science?
October 24, 2023 by Leave a Comment
In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that as people continue exploring ways to use AI in modern society, there’s an increasing concern about ensuring all the current, potential and future applications operate ethically. Many professionals have devoted themselves to furthering ethical AI principles by developing guidelines, best practices and other resources for the industry at large to use. Data science practices will inevitably be altered, as well.
Unleashing the Power of AI in Digital Advertising: A Data-Driven and Strategic Revolution
October 18, 2023 by 1 Comment
In this contributed article, Gruia Pitigoi-Aron, Senior Vice President of Product for The Trade Desk, discusses how in today’s rapidly evolving digital landscape, the effectiveness of advertising hinges on the ability to deliver relevant and impactful messages to the right audience at the right time. As the world becomes increasingly data-driven, harnessing the power of AI in digital advertising technology (ad tech) has emerged as a game-changer. The article focuses on the transformative capabilities of AI in digital advertising and how it’s revolutionizing the industry by enabling a more data-driven and strategic approach to media buying.
Three Next-Generation Data Architectures: How Cloud, Mesh, and Data Fabrics Impact your AI Deployments
October 17, 2023 by 1 Comment
In this contributed article, Mohan Rajagopalan, vice president and general manager at Hewlett Packard Enterprise, discusses how the ideal solution to siloed data is implementing a single data plane across a business. This unified system allows enterprises to realize the grand vision they have been promised: One where data from all sources and apps can be used together for the benefit of the business. Understanding the role of cloud, mesh and fabric architectures is the first step toward a truly contemporary data-driven enterprise.
Three Considerations Before Adding Generative AI Capabilities to Your Security Stack
October 14, 2023 by Leave a Comment
In this contributed article, Ashley Leonard, president and CEO of Syxsense, reflects on some of the most pertinent issues affecting the adoption of generative AI in security. These include the question of who owns the AI output, how to conduct quality assurance to mitigate unwanted results, and companies’ overall preparedness to manage workforce displacement. The article also pulls real-life scenarios from across the industry and provide considerations to help businesses navigate generative AI adoption without missing out on the technology altogether.
How Can Platform Engineers Thrive in the Age of AI?
October 13, 2023 by Leave a Comment
In this contributed article, lead systems and DevOps engineer Manish Sharma discusses how platform engineering is a constantly developing field, and the advent of AI will likely accelerate the pace of change. Engineers can prepare for and adapt to the coming shifts by keeping up to date with developments in AI, including the increasing number of available AI tools and their applications for platform engineering.
Keeping a Level Head during AI Implementation
October 10, 2023 by 1 Comment
In this contributed article, Frank Laura, Chief Technology Officer at EngageSmart (NYSE: ESMT), discusses why CIOs and CTOs need to bring AI into businesses safely, securely, and legally. AI will enable CIOs and their teams to shift focus away from tactical and/or repetitive work towards creating innovative solutions for their teams and customers.
Reinforcement Learning: Balancing Exploration and Exploitation
October 10, 2023 by Leave a Comment
In this contributed article, Anthony Chong, CEO/Co-Founder of IKASI, discusses the three types of machine learning approaches, the benefits and requirements of each, and offer examples of how organizations are applying these tactics to address real world business challenges.
