This year may be the most innovative on record. Recent advances in AI are beginning to transform how we live and work. And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

January 28th is Data Privacy Day, an international effort to empower individuals and encourage businesses to respect privacy, safeguard personal data and enable trust. In fact, it so important that the National Cybersecurity Alliance has a focused program for a full week. Data privacy is not just a legal concern, it concerns everyone.

Learn how to integrate Striim with BigQuery ML for real-time data processing in machine learning.

Choosing between REST API vs RESTful API is pivotal for efficient and scalable business solutions in data integration. Application Programming Interfaces (APIs) are critical in data integration, enabling diverse systems to communicate and data exchange seamlessly. In this landscape, REST (Representational State Transfer) APIs have emerged as a standard, known for their simplicity and effectiveness in handling network requests.

Now you can create and manage your control plane on-prem or on-cloud, regardless of where your data and compute are. We recently announced extensive new orchestration,scheduling, and compute management capabilities for optimizing control of enterprise AI & ML. Machine learning and DevOps practitioners can now fully utilize GPUs for maximal usage with minimal costs.

At Keboola, our aim has always been to put the customer first. We strive to be the best self-service data operations platform for companies, so they can get the most out of their data and grow their business fast and smart. Being perfectionists we tend to focus on what’s still not good enough and needs improving.

Governments collect more data than any other type of entity on the planet, yet their ability to use data to serve citizens more effectively has always been limited. Regulatory compliance, budgetary constraints, reliance on legacy systems and internal resistance to change all play a role. That’s why when it comes to adopting new technologies, public agencies tend to lag behind the private sector by 18 to 24 months—and often longer.

Between soaring material costs and the impact of inflation, the construction industry has had to practice extra agility and resilience in recent years. Market upheaval, including skills shortages and supply chain disruptions have made financial reporting in the construction industry even more challenging. Manually exporting data into static spreadsheets adds another roadblock–when reports are manually exported or input, information grows stale quickly.