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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.

Best of 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 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.

Before Jumping to Machine Learning, You Need a Solid Analytics Foundation

In this special guest feature, Michael Simms, Practice Director for Data & Analytics at Columbus Global Services, discusses four important elements of an effective data journey. Mapping a data journey provides awareness and understanding of where your organization is to ultimately get where you want to go, with enablement and adoption of the technology throughout. Without the clarity provided by a data journey, your organization won’t be positioned to successfully deploy the latest technology.

Why Predictive Analytics Is Crucial for Maximizing College Retention Efforts

In this contributed article, Bryan Bell, Chief Data Scientist at Aviso Retention, discusses how using data analytics and business intelligence programs to make smarter student enrollment choices helped colleges reduce their “summer melt” by about 1 percent last fall. These colleges also performed three times better than the national average in terms of their fall 2020 enrollment figures.

Applying GANs to Image Generation Tasks

This contributed article by Maksym Tatariants, PhD, AI Engineer at MobiDev, overviews StyleGAN2 application to image generation task and is based on MobiDev’s logotype synthesis research. When it comes to powerful generative models for image synthesis, the most commonly mentioned are StyleGAN and its updated version StyleGAN2.

Video Highlights: Supercharging our Data Scientists’ Productivity at Netflix

In this talk sponsored by Tecton, Jan Forjanczyk, Senior Data Scientist, Netflix and Ravi Kiran Chirravuri, Software Engineer, Netflix, working in Content Demand Modeling, present one of the challenges that they faced earlier this year. This is used as a backdrop to present the human-centric design principles that govern the design of Metaflow and its internals.

How AI Can Decrease Drug-related Health Equity Challenges

Surveyor Health Corporation launched the SurveyorAI platform, a patented technology that drives efficiency and affordability for population medication management using drug knowledge from FDB (First Databank). The company also released the results of a Stanford-guided two-year study and peer reviewed research in the Journal of Managed Care & Specialty Pharmacy.

The Four Shifts Needed to Make Quantum Computing Part of Your Analytics Strategy

In this special guest feature, Christopher Savoie, Ph.D., J.D., founder and CEO of Zapata Computing, provides four necessary shifts organizations need to make to turn quantum computing from an exploration of an edge technology to production-ready technology that creates real value.