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Why Your Call Center Needs AI-powered Conversation Intelligence

In this contributed article, Brian Steele, VP Product Management at Gryphon.ai, discusses how conversational AI tools in call centers are developing language modeling and predictive analytics to help sales representatives streamline the sales process.

How Conversation Design is Using Machine Learning to Make Robots More Helpful

In this special guest feature, Dmitry Gritsenko, CEO of the Master of Code Global, suggests that as interest in the commercial use of conversation design continues to rise, it’s a great time to look at the technologies that are making all of this possible as well as its impact on users today and in the future.

Maximizing the Potential of Data and AI through Automation

In this contributed article, Rick Veague, Chief Technology Officer of IFS in North America, dives into how businesses can better leverage data and technology in this increasingly automated world for better value add. With the advent of process automation and machine learning technologies, companies are increasingly confronted with new data and information, as well as the mounting pressure to adopt new tools they don’t understand how to take full advantage of. It’s like finding a needle in a haystack with a metal detector that is too complicated to use – a waste of time and resources while creating a false sense of competitiveness.

AI For the Future of Work.

AI has been a buzzword and businesses are all at different stages of implementing it. But is it actually solving anything? MIT Sloan and Boston Consulting Group (BCG) answer that question in a new report Achieving Individual – and Organization- Value with AI. Among respondents who report that their organization obtains moderate, significant, or extensive value from AI, the vast majority (85%) claim that they personally obtain value from AI. 

Business Goals as Friend or Foe: How to Keep Focused when Building an Analytics Program

In this special guest feature, Lynda Partner, EVP, Data & Analytics, Pythian, discusses the top business drivers for analytics programs and how, depending on each one, a company might shape an analytics program differently.

insideBIGDATA Latest News – 11/2/2022

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Heard on the Street – 11/1/2022

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.

Infographic: Shadow Data Creeps in the Silence

While creatures of the night might fade away after Halloween’s haunts on Monday, unknown or “shadow” data will remain lurking in the depths of organizations’ networks. Shadow data stores are more likely to be misconfigured, unmonitored, and violate data security policies — making them easy targets. In the infographic below, our friends over at Laminar discuss how it’s important to have the knowledge and tools to fight the fright all year long. 

Using Natural Language Processing to Uncover Valuable Insights in Text-based Data

In this special guest feature, Ryan Welsh, Co-founder and CEO of Kyndi, discusses how organizations are leveraging the latest natural language processing techniques to enable sophisticated natural language understanding. An approach that enables them to quickly discover the most pertinent answers hidden in various documents, every time a user is searching for answers in text-based data.

Cinchy Study Details How Dataware Eliminates Data Integration and Revolutionizes Application Development and Analytics

Cinchy, the dataware vendor that’s changing the way organizations work with data, released “The Rise of Dataware: An Integration-Minimizing Approach to Data,” a comprehensive analyst report that highlights a fundamental shift taking place in the data management sector. It focuses on a distinctive architectural approach that redefines the relationship between data and applications, and essentially eliminates the need for data integration as we know it.