GenAI depends on data maturity, in which an organization demonstrates mastery over both integrating data – moving and transforming it – and governing its use.

In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm.

Keboola, a self-service data operations platform, has raised USD $32 million in a Series A funding round, led by the private equity business of Viking Global Investors. Keboola’s mission is to connect and integrate all company data in one end-to-end Data Stack as a Service. This new approach to the Data Stack puts customers in full control of their data with a single platform. The significant funding builds on a USD $5 million Seed round closed in 2022.

Recently we introduced one breaking change in how user information is exported from Countly, and we wanted to explain why such change was made and what to do to keep your plugins supported. But before we dive into why's, let's first reiterate the "what" part.

All tools on our list have proven to be capable and flexible enough to fit a variety of use cases. So, how do you choose? As you review these options, assess them based on the analytics tools, reporting tools, data management features, and integrations. If you find a cost-effective tool that matches the technical abilities of your team while delivering the backend power you need, you've got a winner. Data analytics makes decision-making five times faster for organizations.

The main problem with writing only formal reports in your company is that you won’t be able to quickly and efficiently communicate important urgent messages and the latest updates to your management and team leaders. You always have strict rules and formats that you have to follow, which will disable you from conveying crucial information in a timely manner. The biggest issue is that your management needs that information in order to make the day-to-day decisions and create efficient strategies.

Five things you need to know about data governance tools: Data governance refers to the methodologies, procedures, and standards that control how your organization processes, manages, stores, and shares data. Legislation in your jurisdiction or industry — such as General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Health Insurance Portability and Accountability Act (HIPAA) — might require you to safeguard all the data that flows through your enterprise.

Imagine a bunch of bricks. They don’t have a purpose until you put them together into a house, do they? In business intelligence, data is your building material, and a quality data analysis report is what you want to see as the result. But if you’ve ever tried to use the collected data and assemble it into an insightful report, you know it’s not an easy job to do.

Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.