Granica

Data is driving the world around us—especially with the addition of AI. 📈 Our second edition of The Data Foundation newsletter is out! Dive in for the latest news in the world of AI data, from Databricks' open sourcing Unity Catalog to the energy challenges this AI revolution brings. Subscribe today so you never miss an edition! #AI #Analytics #DataPrivacy

🔎 Curious to know the secret to AI training? It's quality over quantity! Learn how selective data sampling can boost efficiency and slash data training costs. If you're ready to revolutionize the way you think about AI training, get started today 👇 https://bit.ly/49EFrAS #AI #DataManagement #DataScience

It's not the most glamorous part of the tech industry, but infrastructure is the whole ballgame when it comes to successful AI implementation. https://bit.ly/4eRQrxW via VentureBeat #AI #AWS #cloud

What if we told you there is a way to reduce the cost of a security breach by more than half? It's possible! Read on to learn how risk mitigation can save millions on costly data breach incidents. https://bit.ly/3VucfrI #AI #cybersecurity

While tech leaders see the value of AI and are enthusiastic about its possibilities, they're also acutely aware of the privacy, security, and governance pitfalls that come with it. A telling quote: "When it comes to AI becoming a bigger part of daily life, 46% of executives say they feel equal parts concern and excitement," wrote the authors of the survey report. "When combined with the 44% of executives whose excitement outweighs their concern, the data indicates many executives see some benefit from AI's increased prevalence." https://bit.ly/4eLFUnY via SC Media #AI #cybersecurity #data

For all the massive and rapid advances generative AI has enabled, it's also opened the floodgates for numerous new data protection challenges. For example, malicious users can manipulate prompts to expose sensitive data. Or a bad actor might contaminate training data in order to create an exploitable flaw in the system. Fortunately, there are ways to solve these challenges and more. Read on to learn how 👇 https://bit.ly/3X7b1Ut #AI #DataSecurity #DataPrivacy

🥷 It's Ninja Notion Friday! We asked our squad of data-crunching ninjas to give us an idea of the data challenges businesses are facing today. Check out their insights 👇 What do you see as the biggest data-centric challenges today? #AI #DataPrivacy #LLM

Alongside data privacy, protecting creator rights is a critical element of any AI initiative. Getting this right today will make the future far brighter for everyone. https://bit.ly/3xFvi9f via Fast Company #AI #DataAnalytics

Do you thrive on solving complex problems? Are you always on the prowl for new challenges? Do you embrace the unknown as just one more puzzle to solve? And, perhaps most importantly, do you love yellow? Granica is hiring! Check out the available positions... 👉 https://bit.ly/3XGIoxw 🥼 Research Scientist. Help Granica create the future with new algorithmic ideas, state-of-the-art methods, prototyping and testing, and moving from idea to production. 🗃 Big Data Software Engineer. Design, build, and maintain highly scalable, reliable, performant, and secure big data and AI systems while also taking advantage of opportunities to contribute to open-source projects. 🤖 Machine Learning Software Engineers. We're hiring ML engineers to work on all kinds of products across Granica Screen and Granica Crunch teams. Work on discovery and classification accuracy, compression optimization, and other exciting technologies that will shape the future of AI. ⚙️ Machine Learning Infrastructure Software Engineers. We're looking for several ML engineers to help us develop and maintain the infrastructure that we use to run and scale Granica Crunch and Granica Screen. Learn more and apply today! #hiring #Engineering #AI

💥 Kerrunch! That's the sound we imagine every time we run the world's first data lake compression service. Check out how Granica Crunch works by testing our new interactive demo: https://bit.ly/3W0opsl #cloud #AI #DataDriven