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How AI and ML technologies are Streamlining Language Creation and Impacting the Global Economy

In this contributed article, Joe Hagan, Chief Product Officer at LumenVox, discusses how artificial intelligence (AI) and machine learning (ML) have become so useful and prevalent that we use them in our daily lives without really thinking too much about it. One key area where these intelligent technologies have progressed in leaps and bounds—almost to the point where they match human abilities—is the field of automatic speech recognition technology.

Explanatory vs. Exploratory — Which Data Visualization Is Right for Your Organization?

In this special guest feature, Chad Reid, VP of marketing and communications at Jotform, argues that data visualization remains one of the best tools you can use to highlight relevant information for stakeholders, but to use it to its full potential, it is key to understand the difference between explanatory versus exploratory data analysis and know when to use each. He provides three strategies for better data visualization.

The Data Silos Holding You Back are All in Your Head

In this contributed article, Pete Goddard, CEO and co-founder of Deephaven Data Labs, paints a new picture of data: one of a synchronized group effort rather than a relay race of individual, siloed teams. He explains how the “baton pass” method of working with data – inherently full of risks and slow-downs – has evolved but not quite met the needs of modern data teams. Pete then outlines how de-compartmentalizing data use cases can lead to a new understanding that data is changing and exists on a continuum of time. When all data problems are viewed through the lens of how data needs to meet software, and diverse teams are brought together to work in tandem on these interesting problems, we can create one frictionless data world free from the current limits of intermediation.

2022 Can Be Insurance’s Big Data Moment

In this special guest feature, Robert Clark, CEO of Cloverleaf Analytics, discusses trends and other factors driving what he believes to be a major year for big data analytics and BI in insurance in 2022. The article will outline a few major reasons why insurance can become a standard-bearer regarding innovative uses of big data and analytics.

Heard on the Street – 1/12/2022

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.

The Secret Weapon Behind Quality AI: Effective Data Labeling

In this special guest feature, Carlos Melendez, COO, Wovenware, discusses best practices for “The Third Mile in AI Development” – the huge market subsector in data labeling companies, as they continue to come up with new ways to monetize this often-considered tedious aspect of AI development. The article addresses this trend and outlines how it is not really a commodity market, but can comprise different strategies for successful outcomes.

Surging to the Front of the Cloud Race: The S3 API and Object Storage

In this contributed article, editorial consultant Jelani Harper discusses object storage, the S3 protocol, and contemporary cloud developments. The competition for supremacy in the public cloud computing marketplace is one of the most eagerly watched contests throughout the data landscape. With AWS, Google, and Azure all vying with one another to offer the most advantageous services for what’s only a broadening user base, there’s no scarcity of innovations as they attempt to outmatch one another for customer patronage and loyalty.

The Missing Role your Organization Needs for the Success of your AI Initiatives

In this contributed article, Alankrita Priya, AI/ML Product Manager at Hypergiant, discusses how MLOps platforms can operationalize new technologies and fully bridge the gap between data scientists and end business users. There is a crucial role that AI PMs will play moving forward in both facilitating this deployment process and ensuring that companies practice responsible AI.

The Challenges of Pruning AI Models on the Edge

In this special guest feature, Nick Romano, CEO, Deeplite, discusses how struggling to fit advanced models in edge devices with limited resources forces deep learning teams to start “pruning” models – essentially trimming parts of it that are deemed not critical, but that also comes with a price: significantly reduced model accuracy. For the power of AI to be unleashed at the edge with full accuracy and the ability to run on devices with limited resources, there’s a need for AI optimization.

2022 Trends in Intelligent Bots: Knowledge Worker Empowerment

In this contributed article, editorial consultant Jelani Harper discusses 2022 trends in intelligent bots in terms of knowledge worker empowerment. Whether in the form of Robotic Process Automation, chatbots, or some other type of digital assistants, the presence of intelligent bots is substantially increasing across the data ecosystem … in more ways than one.