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insideBIGDATA Latest News – 6/16/2021

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.

Don’t Import It, Embed It! 5 Reasons to Embed Business Intelligence into Your Enterprise Applications

In this special guest feature, Daniel Jabaraj, Vice President of Syncfusion, Inc., discusses the 5 important reasons analyst firm Gartner lists embedded BI as important emerging tech, and reasons why it has the power to significantly affect how business is conducted in the future.

Petabytes to Zettabytes: Operational Challenges of Cluster Infrastructure

In this contributed article, Mark Yin, CEO of Platina Systems, points out that infrastructure and how it will be managed is undergoing a metamorphosis due to several key factors. The solutions outlined can help organizations stay on top of complex data issues with solutions that automate infrastructure provisioning and cloud resource life cycle management.

Mastercard’s Five Pillars of AI

Businesses are rushing to adopt AI — but they need to consider ethics right off the bat if they want to build trust and future-proof their business. This special report from Brighterion highlights how more than 60% of consumers consider brands more trustworthy if they think their use of AI is ethical — meaning today’s businesses must be able to demonstrate responsible AI as the technology becomes critical to the future of work.

How AI and Behavioral Science are Addressing Vaccine Hesitancy

In this special guest feature, Ram Prasad, Co-Founder, The Final Mile, a Fractal Analytics Company, discusses how AI can help identify problem areas and how behavioral science could be pivotal in understanding why individuals have delayed immunization.

2021 MLOps Platforms Vendor Analysis Report

The Neuromation team has just published a new report on the state of Machine Learning Operations Platforms in 2021. MLOps was defined as a separate discipline only recently when the ML practitioners moved from university labs to corporate boardrooms. AI and ML leaders today already have a better understanding of the MLOps lifecycle and the procedures and technology required for deploying new models into production and subsequently scaling them.

Surpassing Decentralized Data Management Woes with Data Virtualization

In this contributed article, editorial consultant Jelani Harper discusses how data virtualization enables organizations to surmount obstacles (i.e. data quality, schema, and data integrations that are foundational to data management) and to focus on benefits (i.e. remote collaborations characteristic of working from home, the takeoff of the cloud as the de facto means of deploying applications, and the shift to external sources of unstructured and semi-structured data). Supplementing it with mutable graph data models boosts its applicability to data of all types.

Reduce Compliance Risk in Your Call and Contact Center With AI

This white paper, “Reduce Compliance Risk in Your Call and Contact Center With AI,” from Veritone discusses how compliance represents a major risk for contact centers, with violations potentially costing organizations millions of dollars in fines and causing reputational damage to the brand. The current method of monitoring calls — using manual review of recorded conversations — does not come close to meeting the requirements for comprehensive monitoring of regulated interactions.

Reduce Compliance Risk in Your Call and Contact Center With AI

This white paper from Veritone discusses how compliance represents a major risk for contact centers, with violations potentially costing organizations millions of dollars in fines and causing reputational damage to the brand. The current method of monitoring calls — using manual review of recorded conversations — does not come close to meeting the requirements for comprehensive monitoring of regulated interactions. AI text-to-speech technology provides the solution to this dilemma, with its capability to transcribe, translate, redact, find objects and generate searchable indexes of limitless hours of recorded calls in near real-time.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – May 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.