Unless you are self-employed, you, for example as a business owner, have to deal with employees and ensure that your Human Resource (HR) department is able to perform all the required operations on time and professionally. Any company can face hard times when you have to fire your employees or when they leave you because of personal reasons. And, any company can have a spell of good luck when you are able to hire a lot of new and experienced employees.

Dataiku has announced a partnership with Databricks as part of its Large Language Models (LLMs) Mesh Partner Program. The partnership aims to address challenges related to cost control, security, privacy, and trust in LLMs.

The LLM Mesh is a common backbone for securely building and scaling Generative AI applications in the enterprise context.

The partnership will simplify the adoption of Generative AI, provide comprehensive data access, and connectivity to Databricks…

Continuous delivery (CD) is a software development strategy that emphasizes the need for software to be ready for deployment at any time. This approach aims to deliver software updates and features to users as quickly and efficiently as possible, thereby reducing the time to market, and enabling organizations to adapt to changing market conditions swiftly..

Supply chain management takes different forms and shapes, and any business niche may require dealing with logistics operations, issues with suppliers and consumers, inventory restock, product manufacturing, and many other business processes. When your company is responsible for the movement and/or storage of various goods and services, you will surely start searching for any solution that can improve the time needed to finish these tasks and bring automation to the process to decrease costs…

Running a business is a challenging task that demands business owners to go through trial and error and face many risks and uncertainties in the process. You may also face various dilemmas on your way to success. For example, you need software that will cover the needs of your employees or both employees and customers. Thus, you may run into the thoughts of whether to develop your own in-house product, buy a fully ready-made uncustomizable solution, or get a white label product to rebrand it…

Tech industry giants spend enormous resources on top-notch solutions development to cover the needs of an average person from a vast user base. However, you're not an average person, and your business's requirements may lay far beyond what an average company in the market needs. Thus, the question may arise about how to expand the functionality of familiar office applications, for example. Rebuilding such complex systems as Microsoft Excel from scratch to access additional functionality is…

After developing a web application or web service (SaaS) and overcoming a tumultuous period of its growth, you may eventually reach a dead end and become lost in how to grow further. For some reason, new possibilities don’t give you what you expected, and covering new markets doesn’t grant you the anticipated profit. As a result, you put in your SaaS solution more than you get in return.

Network analytics is the application of big data principles and tools to the management and security of networks. Analytics helps IT improve security, fine-tune network performance, troubleshoot issues, and predict traffic trends, with deeper insight into network performance and usage. This helps identify future…

Times change, and businesses invent new approaches or transform current ones to keep up with the technological breakthroughs happening almost every month now. Considering how much data businesses need to deal with on a daily basis, decision-making becomes more difficult, and common Business Intelligence (BI) practices may not be enough.

The term "quantum computing" may sound like something you usually hear and see in a sci-fi movie. However, the first models of such a machine were introduced in the 1980s, so at least the quantum computer concept is not new. Operating with classical bits, traditional computing systems have served us well for decades, but they encounter limitations when confronted with highly intricate problems.