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Improving Your Odds of ML Success with MLOps

In this special guest feature, Harish Doddi, CEO, Datatron, discusses what CEOs need to understand about using MLOps. He also shares insights on how to use MLOps to gain competitive advantage and provide tips on how to implement it.

Why the World’s Biggest Brands Are Betting Big on Graph

In this contributed article, Todd Blaschka, Chief Operating Officer at leading graph analytics platform TigerGraph, discusses how graph has evolved to support digital transformation, AI, and machine learning — and it’s become a major competitive differentiator among the world’s leading companies. Organizations in virtually every industry — from financial services and healthcare to retail and manufacturing — use graph to understand their customers, reduce fraud risk, and optimize their global supply chains.

eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions

To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. This innovative resource is designed as a broad compilation of use cases submitted by AWS Marketplace data providers.

Yandex Upgrades Open-source Machine Learning Library CatBoost

Yandex, a technology company that builds intelligent products and services powered by machine learning, announced that CatBoost 1.0.0, a major version of their open-source machine learning library. The new version goes far beyond a run-of-the-mill upgrade and is the culmination of four years of work by the Yandex Team.  

AI, Healthcare, and C-3PO

In this special guest feature, David Sellars, CEng, Principal, Product Innovations at DrFirst, discusses how artificial intelligence has been lauded as the coming revolution in healthcare. But if you ask a clinician in your local hospital or pharmacy if they use AI in their regular workflows, you are likely to find that AI is curiously absent.

5 Easy Steps to Make Your Data Business Ready

In this contributed article, Ayush Parashar Vice President of Engineering at Boomi, discusses five core components to a strong data strategy so businesses can derive insights from and act on the data. As the uses for data continue to grow, businesses must ensure their data is actually usable.

2022 Trends in Data Science: Newfound Ease and Accessibility

In this contributed article, editorial consultant Jelani Harper discusses some important trends for the next year in terms of how 2022 will embrace data science, the convergence of supervised and unsupervised learning, and structuring unstructured data, for newfound ease and accessibility. Data science has always been characterized by innovation and opportunity.

A Human-first Approach to AI Ethics is Key to Driving Value from Automation

In this special guest feature, Oded Karev, General Manager, NICE RPA, discusses why a human-first approach to AI ethics is key to driving value from automation. AI and automation creates immense value for organizations, their employees and their customers. Yet as automated systems play an ever-expanding role in our lives, it raises some thorny ethical questions including those around bias, data manipulation and privacy.

3 Organizational Must-Dos When Transitioning to an AI Driven Business

In this contributed article, Shai Gottesdiener, VP of R&D, Lusha, discusses how in an automation-driven business world, humans must work alongside machines to make profit happen. Artificial intelligence is just one example of the way machines are at the service of all parts of an organization’s overall utilization.

Webinar: How to Achieve Faster Time to Insight with Third-party Financial Services Data

[SPONSORED POST] Join this webinar to learn how companies consume financial exchange data natively through AWS Data Exchange to make consumption and analysis more efficient, agile, and accessible. Hear from FactSet leadership about the company’s strategic choice to bring their data to the cloud ensuring customers can effectively and efficiently use their data to succeed.