One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish. This is a standard practice, but it has some key drawbacks that don’t always get discussed. This includes: There is no guarantee that the code you find is using best ..read more

This month is Allyship April—a time dedicated to deepening our understanding of allyship and its profound impact on fostering inclusive cultures. Allyship isn’t merely a buzzword; it’s a fundamental commitment to actively support and advocate for marginalized individuals and communities within our organization. This month, we’ve engaged in meaningful conversations, challenged our assumptions, and committed to tangible actions that drive positive change. Together, we’re creating a workplace where everyone feels valued, respected, and empowered to thrive. As part of this goal, we caught up with ..read more

Back in October, we announced the first-ever Cloudera Climate and Sustainability Hackathon, powered by AMD. The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.  More than 2,300 data scientists competed in the Climate and Sustainability Hackathon—a record number of Cloudera Hackathon participants for an incredibly important cause. And that record number meant hard work for our judging panel, who ..read more

Regulations often get a bad rap. You may have heard the old idiom “cut the red tape” which means to circumvent obstacles like regulations or bureaucracy. But in many – if not most )– cases the underlying need for regulations outweighs the burden of compliance. In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises. Regulations require the implementation of robust risk management practices, prevention of financial crimes ..read more

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.  With the backdrop of optimism and interest in these technologies, the Cloudera team headed to Orlando last mont ..read more

Businesses around the world rely on an extensive network of partnerships to deliver quality customer experiences—and it’s no different here at Cloudera. Cloudera is building a robust partner ecosystem to meet the unique needs of its customers, working to provide exceptional and fulfilling experiences that help make Cloudera a leader in the multi-cloud data platform space.  With nearly 20 years of marketing experience, Lan Chu is no stranger to collaborating across teams to build strong, robust marketing programs. Having worked across marketing teams from companies in food delivery to soft ..read more

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. Data is critical to driving the innovation and decision-making that improves services, streamlines operations and strengthens national security. Moreover, as emerging technologies like generative AI proliferate across Federal use cases, the need for trusted data that is secure, governed and ready for AI has never been more acute. I am pleased to announce that Cloudera has achieved Fe ..read more

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management.  Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data scie ..read more

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs). But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges.  As organizations continue ..read more

The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race.  But for many enterprises, the biggest hurdle is getting started. How do you adapt a foundational model to your specific needs? What ..read more