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Tag: Smart Data Blogs

How to Prepare Data for AI and ML

Regardless of how clever the machine or how brilliant the algorithm, the success of intelligence-based solutions is intrinsically tied to the quality of the data that goes in. That’s why, aside from its people, data is the most important thing an organization owns. Data must be the first stop on the journey to implementing artificial […]

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Top News

How AI Is Modernizing Online Transactions

Braving the global pandemic for the past two years has changed online transactions for consumers and businesses alike. As a result, the digitization of customer online activity with retailers and other businesses has become the preferred way to engage. According to my company’s Global Insights Report, there has been a 25% annual increase in online consumer […]

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2022: The Dawn of Next-Gen Conversational AI?

The 2021 tech world was as busy as it has ever been, thanks to the continued challenges presented by the COVID-19 pandemic. And this is particularly true for conversational AI. From insurance to retail, businesses are doubling down on their technology investments and broader digital transformation efforts as they try to adapt to the expectations […]

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AI Ethics: Risk and Opportunity

Risks often dominate our discussions about the ethics of artificial intelligence (AI), but we also have an ethical obligation to look at the opportunities. In my second article about AI ethics, I argue there is a way to link the two.  “Our future is a race between the growing power of technology and the wisdom with […]

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3 Strategies for Creating a Successful MLOps Environment

Disconnects between development, operations, data engineers, and data science teams might be holding your organization back from extracting value from its artificial intelligence (AI) and machine learning (ML) processes. In short, you may be missing the most essential ingredient of a successful MLOps environment: collaboration. For instance, your data scientists might be using tools like JupyterHub or […]

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Forthcoming AI Regulation Makes Data Management Imperative

Although algorithmic decision-making has become increasingly vital for many businesses, there are growing concerns related to transparency and fairness. To put it mildly, the concern is warranted. Not only has there been documentation of racial bias in facial recognition systems, but algorithmic decision-making has also played a role in denying minorities home loans, prioritizing men during hiring, […]

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How Analytics Shapes Our Music Tastes in the Era of Digital Streaming

Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day.  In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027. Music streaming has become the most popular medium for music consumption, significantly outperforming […]

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Knowledge Graph Standards in Ambient Computing

Ambient computing is a broad term that describes an environment of smart devices, data, AI decisions, and human activity that enables computer actions alongside everyday life, without the need for direct human commands or intervention. Ambient computing represents an unparalleled opportunity to enhance almost every sphere of society – from the professional to the personal. And in […]

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How the Technology Industry Can Speed up Environmental Protection Efforts

The recent UN Climate Change Conference (COP26) revealed a massive credibility gap between government current policies and their net-zero goals. Even with full implementation of emissions targets set for 2030, the planet is expected to heat up by 2.4°C by the end of the century. This alarming gap has cast a dark shadow of doubt over […]

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Hyperautomation Projects Will Unleash the Next Phase of Digital Transformation

Digital transformation powered by automation has changed the way organizations around the world operate. It’s sped up product and service delivery. It’s created operational efficiencies throughout the business. But automation has its limits. Traditional automation uses tags and triggers to initiate the next event in a sequence. It certainly keeps things moving, but it falls […]

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4 Reasons Data Scientists Leave (and How to Retain Top Talent)

The demand for Data Science talent far exceeds the talent pool, making employee retention challenging. Demand is expected to remain high throughout 2022, providing ample opportunity for talent to move upwards through competing organizations. A vast amount of project familiarity and understanding is built on the backs of data scientists and is lost when they […]

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What to Expect from AI in 2022

These past two years have ushered in major changes to how we navigate work, human interactions, and information. These shifts have coincided with the increased maturity of AI as a field. As AI has become more widespread, accessible, and acceptable, it’s stepped in to fill gaps in the economic, social, institutional, and political realms – […]

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How AI Can Transform Hybrid Events

The initial phase of the global pandemic shocked nearly every industry, with in-person events effectively grinding to a halt. Industry conferences that millions of people had relied on for networking, training, and generating business were suddenly gone. Fortunately, companies, organizers, and supporting event platforms were agile, quick-footed, and resourceful in their efforts to shift events […]

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