DataCamp Digest: The future of AI in national security

DataCamp Digest is our newsletter aimed at providing the most up-to-date insights and news on all things data science. In this edition of the newsletter, we discuss the latest in chatbot technology, the future of AI in government, digital transformation after the pandemic, and more.

Digital transformation after the pandemic / MIT Sloan School

The COVID-19 outbreak uncovered many outdated assumptions about digital transformation. Technology firms pivoted overnight to enable remote work, distance learning, and other initiatives. In this article, learn four key initiatives to focus on to sustain digital transformation after the pandemic.

Winning with AI is a state of mind / Mckinsey Analytics

Going from running artificial intelligence (AI) experiments within a small team to capturing long-lasting value at scale requires an investment in shifting mindset and organizational culture. Learn how you can make that shift to become a truly AI-enabled organization.

The future of AI in government / Deloitte Insights

When mentioning the use of artificial intelligence in government, things can get a little tense, especially in the field of national defense. During this podcast episode, Bob Work, former U.S. Deputy Secretary of Defense (2014-2017) talks about the perception and use of AI during Obama’s and Trump’s administrations.

Applying Advanced Speech Enhancement in Cochlear Implants / Google AI Blog

Hearing aids can help alleviate the symptoms of the hard of hearing, but amplifying sound sometimes is not enough. In this article, the Google AI team discusses how cochlear implants in combination with speech enhancements using AI, can further provide a better quality of life for those with hearing disabilities.

Why AI Struggles To Recognize Toxic Speech on Social Media / Stanford HAI

If AI police are so efficient, smarter and faster than the human eye, why do we still fail to remove fake news and toxic messages from social media posts? Learn more in this deep dive by the Stanford Institute of Human Centered AI.

DeepMind says it will release the structure of every protein known to science / MIT Technology Review

When DeepMind solved a 50-year challenge by predicting the structure of proteins using AlphaFold, it took the world of biology by surprise. Now, the London-based company has open sourced its AlphaFold algorithm, and announced that it has used it to predict nearly every protein in the human body, which will allow biologists to better understand diseases and develop new drugs.

The Quick and Dirty Guide to Building Your Data Platform / Monte Carlo Data

In today’s fast changing industry, building a data platform is no longer a nice-to-have but a need-to-have. Barr Moses, CEO of Monte Carlo, who joined us in the DataFramed Podcast, discusses the six layers needed to build your data platform.

Data Engineers Spotlight (Netflix) / The Netflix Tech Blog

Kevin Wylie, a data engineer at Netflix shares his journey from MySpace to joining Netflix. Kevin’s story at Netflix started with the task of designing Netflix's entertainment knowledge graph to manage a great team of people with diverse backgrounds and skills.

Managing Supply and Demand with ML / Doordash Engineering Blog

In today’s on-demand economy, it is important to keep monitoring demand spikes in order to manage uncertainty and improve the reliability of products. Doordash’s machine learning model has allowed them to optimize supply and demand at a localized level in order to maximize revenue.

How Airbnb Measures Future Value to Standardize Tradeoffs / The Airbnb Tech Blog

As your organization grows, decision making can become a set of tradeoffs that benefits some stakeholders and not others. Learn how Airbnb has implemented a score matching model to optimize the organization’s decision-making process.

Giving chatbots long-term memory, a deep dive into BlenderBot 2.0 / Facebook AI

Blender 1.0 originally open-sourced in 2020 showing groundbreaking ability to combine conversational skills, such as personality, empathy, and knowledge in a single system. Now Facebook released BlenderBot 2.0, which builds on top of BlenderBot 1.0, with long term memory and the ability to find relevant answers on the internet.

OpenAI releases Triton, a programming language for AI workload optimization / VentureBeat

Recent AI models commonly involve natural language processing, computer vision, and other domains. These models heavily rely on well-suited multicore hardware such as GPUs, which make running these models expensive and inefficient. OpenAI released Triton, an open source, Python-like programming language that enables you to write highly efficient GPU code for AI workloads.

Webinar: The Learning Leader's Guide to Data Fluency

In this webinar, Adel Nehme, Data Science Evangelist at DataCamp, explains what is a data fluent organization, and explores what data fluency competency areas organizations should look to foster. Catch the on-demand webinar to learn how to scale your data talent transformation program.

Podcast: #66 The Path to Building Data Cultures

In this episode of DataFramed, Sudaman Thoppan Mohanchandralal, Regional Chief Data & Analytics Officer at Allianz Benelux explores the importance of building data cultures in your organization and how to operationalize data culture transformation programs.

Webinar: Preventing Fraud and Boosting eCommerce with Data Science

In this webinar, we speak with Elad Cohen, VP of Data Science and Riskfield to discuss how implementing different models could help you prevent fraud on your ecommerce site, while getting your consumers safely to the checkout page.