RE•WORK Blog - AI & Deep Learning News

How to Avoid the Uncanny Valley in Voice Design

While conversation design is all about building natural, human-like conversations, a bot that sounds a little too human can make us uneasy. Dawn Harpster, Senior Conversation Architect at Talkdesk explains why it makes us feel that way and why conversation designers need to be aware of this...

AI in Healthcare

Advancements in AI in Healthcare - Spotlight from Nathan Wang

Hear from Nathan Wang - Deep Learning/Medical Imaging Researcher at Johns Hopkins University about his thoughts on the Advancements in AI in Healthcare....

Women in AI

Top 20 Women in AI: Germany Edition

At RE•WORK, we are strong advocates for supporting women working towards advancing technology, so ahead of the upcoming Berlin AI Summit, we’d like to highlight Women from Germany, working at the forefront of AI developments, who deserve recognition for their achievements....

AI

The Top 17 ‘Must-Read’ AI Papers in 2022

We caught up with experts in the RE•WORK community to find out what the top 17 AI papers are for 2022 so far that you can add to your Summer must reads. The papers cover a wide range of topics including AI in social media and how AI can benefit humanity and are free to access....

Conversational AI

5 Tips for a Successful AI Project - Advice from AI Leaders

With this increased shift towards AI-based solutions we asked 5 leading experts in AI from Google, HomeServe, Bosch, Ulster University and BT what advice they would give to businesses who are looking to start a new AI project...

AI in Retail

4 Predictions for the Future of AI in Retail

Leading AI experts from Specsavers, Co-op, Shopify and HomeChoice International give us their predictions about the future of AI in the retail industry....

Artificial Intelligence

The Evolution of AI (and its Impact)

Leading experts from Bumble, Fujitsu Research, Sky and ShareChat share how the role of AI has evolved in the last 5 years and what impact it has had across industries...

Retail

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....