RE•WORK Blog - AI & Deep Learning News

The Price is Automated – Using AI for Optimal Pricing

Retailers are increasingly finding commercial success in using AI to dictate their pricing strategy.The complexity of pricing can be a large issue for retailers. Between shifts in consumer behavior to worldwide disruptions...

Artificial Intelligence

Transforming Financial Services with Deep Learning

AI is here.That is particularly true in banking and financial services. In fact, McKinsey estimates that AI could add as much as $1 Trillion dollars to the global economy annually in the...

AI in Finance

Recruitment in AI: How can you survive the Great Resignation

We interviewed our panel of expert speakers about their approach to building out AI teams, learning what traits they prioritize, how effective teams are built, and any secrets they have for accomplishing both. Included are contributions from Octane, Mutual of America, and Finicity, by Mastercard....

AI in Fintech

AI in Finance: Uncovering the Key to AI-First Banking

Ahead of RE•WORK’s upcoming AI in Finance Summit in New York on April 21-22, we asked some of our expert speakers from Morgan Stanley, Truist and London Stock Exchange Group about their approach to successfully implementing AI at the forefront of their organizations....

Deep Learning

Beyond Supervised Learning: How Researchers at Tesla and Toyota are Training the Robust ML Models of the Future

For safety-sensitive real-world applications of machine learning technology, robust ML models are essential. However, the need for very large, pre-labeled datasets can be a bottleneck....

NLP

How Researchers at Twitter and Snapchat are Using NLP to Identify Hateful Content

It can be hard for language models to understand the meaning of ‘low context’ social media posts, but state-of-the-art NLP and image recognition models are starting to change that....

AI and Deep Learning Predictions for Finance in 2022 – Trends to Watch from the RE•WORK Community

Recent developments in AI and deep learning have the potential to transform the way that banks and financial services firms do business, including but not limited to customer service, portfolio management, and fraud...

ML Assisted Annotation Powered by Sama's MICROMODEL Technology

With 80% of AI project time being spent training the large volume of data necessary to train a model, efficiency improvements early on in the process are sure to have compounding effects. Your...

Predictions for 2022

The RE •WORK Community’s Top Deep Learning Trends for 2022

After a couple of troublesome years, many businesses are looking forward to 2022 with cautious optimism.The worldwide global pandemic has accelerated the digital ambitions of many enterprises, creating a fertile ground for...

AI Blogs

The 13 ‘Must-Read’ AI Papers of 2021

We reached out to our expert community to find out which papers they believe everyone should have read in 2021!...

Conversational AI

Using Custom Model Ensembles to Improve Multi-domain Conversations

Multilingual conversations, sales conversations, switching to data entry information, and conversational AI with a multi-use case conversational flow are just a few examples where a conversation can switch wildly between domains within the same conversation....

Women in AI Podcasts

The Future of AI & Spoken Word Content

Audio content is on the rise. What role does artificial intelligence have to play? We met with Mari Joller, Founder and CEO of Snackable AI, for an episode of the Women in AI Podcast....

Deep Learning

A New Approach to Drug Discovery with Daphne Koller, CEO at Insitro

How can we develop a new approach to drug development that uses high-quality data and ML models to design novel, safe, and effective therapies that help more people, faster, and at a lower cost?...

Bias

The Man, The Machine, And The Black Box: ML Observability

Aparna Dhinakaran, Co-Founder & CPO of Arize AI, explores the challenges organizations face in checking for model fairness, such as the lack of access to protected class information to check for bias and diffuse organizational responsibility of ensuring model fairness....

FinTech

Calling AI Startups to Power Financial Prosperity

Intuit has recently announced the launch of a new accelerator for AI-focused startups to help communities overcome financial challenges in North America, the Intuit Prosperity Accelerator: AI...

Fighting AI Bias

Fighting Bias in AI, With Wendy Gonzalez - CEO at Sama

How do we reduce bias in AI? An interview with Wendy Gonzalez, CEO at Sama. Topics covered such as privacy and security in AI, challenges with availability of data and more....

Fraud Detection

Low Latency Fraud Detection & Prevention

A PwC survey showed that in 2020 about 49% of companies had experienced fraud amounting to $42B in losses, and the cost of fraud for banks grew by 17% since 2019. This reality is increasing the investment companies are making in fraud detection and prevention (FDP)....

AI in Finance

Intersectional Group Fairness in Machine Learning

At the ML Fairness Summit, we welcomed Fiddler Data Scientist, Léa Genuit to discuss intersectional group fairness. As more companies adopt AI, more people question the impact AI creates on society, especially on algorithmic fairness....

AI-enabled automation

Advanced ML Methods For Automating Image Labeling

Training computer vision models require a constant feed of large and accurately labeled datasets. However, this typically requires large time and capital commitments, especially since most of the labeling and quality assurance is done manually by humans....

AI Roadblocks

What can we do about Bias in AI?

In regard to bias in AI, it is widely recognised that there are two prominent types. These manifest themselves as cognitive bias.......

In Search of Trustworthy & Ethical AI

In this piece, we look at the need for, challenges, and benefits of implementing Ethical AI. This includes regulation, cost/benefit comparisons, and more....

AI in Finance

5 AI Advancements in Finance, Insurance, & RegTech

We have heard from some of the leading minds in AI working in Finance this year, so we listed five brilliant talks from Vanguard, JPMorgan Chase, Scotiabank, and more on their latest developments in the field....

Deep Learning

Young Science: Encouraging Careers in STEM

When we hear STEM, we think of the traditional science, technology, engineering and math disciplines. But STEM fields open a world of opportunities for careers. Susanne Lettner is a Co-Founder of the project...

AI in Finance

Assessing Regulation & Promoting the Responsible Use of Data for Financial Applications of AI

We were lucky enough to be joined by experts from The World Bank, NatWest and MANTA to discuss AI in Finance and RegTech....

Education

How Should we Educate Kids About Artificial Intelligence?

An interview with Juliet Waters, Chief Knowledge Officer at KCJ, for our Women in AI Podcast Series. Juliet discusses the importance of teaching kids AI, the initiatives that KCJ provide and the challenges with that. As well as her favourite female role models, being the younger generation....