Tarento proudly serves as a leading Delivery Partner for the Infor suite of ERPs. Our extensive experience spans both on-premises and cloud suite multi-tenant versions, ensuring that we cater to the diverse needs of businesses across the globe. Our comprehensive service portfolio includes implementation, integration, customization, testing, and support services tailored to maximize the benefits of Infor's ERP solutions.

Data warehouses are the backbone of any organisation, tirelessly storing, retrieving, and analysing massive volumes of structured data from various sources. They provide a stable foundation for business intelligence enabling corporates to generate complex and insightful reports.

A frequent problem each organization faces is the continuous disconnect and discontent between the IT and Business Teams. With IT teams complaining of not getting the complete requirements and the Business team complaining of having to deal with the IT team for every requirement, this Data Mesh leaves it now to the business teams to manage and maintain their own setup.

In today’s data-driven world, businesses need a well-designed and scalable data warehouse architecture to manage and analyse large volumes of data.

Snowflake's remarkable ascent in the data warehousing and cloud computing sectors can be attributed to its groundbreaking technological advancements and strategic integrations.

Data ingestion is the method of collecting and importing data from various sources into a database for further processing or analysis. It is an initial step in data integration and data processing pipelines within organizations to build data warehouses for analytic and decision making.

Conversational AI is the innovative intersection of technologies that enable machines to interact with humans in a natural language. To put it simply, it is like a super-smart digital assistant that can chat with you, understand your questions, and give you helpful answers, just like talking to a friend. It's the technology behind chatbots, virtual assistants like Siri and Alexa, and customer support bots that make our interactions with machines feel natural and engaging.

In the era of big data, efficient cost management is crucial for leveraging data analytics platforms like Databricks. Whether you're a startup or an enterprise, optimizing costs without compromising performance is essential.

Geospatial data, also known as spatial data, is information that is linked to specific places on Earth. It includes things like coordinates, addresses, and shapes like polygons and lines.

Data fabric is an end-to-end data integration and management solution, consisting of architecture, data management and integration software, and shared data that helps organizations manage their data. A data fabric provides a unified, consistent user experience and access to data for any member of an organization worldwide and in real-time.

Generative AI is transforming automation by creating content and enhancing decision-making across industries. It goes beyond traditional AI by generating text, images, and more, improving workflows like documentation, personalization, and process automation. While offering great potential, it also raises concerns around bias and security. As it becomes more accessible, Generative AI is quietly reshaping the future of business and technology.

A deeper look at how scalable AI enables businesses to grow and adapt efficiently, unlocking long-term value through flexible, reusable systems. Featuring industry examples and Tarento’s approach to building ethical, future-ready AI solutions that evolve with business needs.

As enterprises embrace the power of Large Language Models to automate tasks and scale operations, a hidden layer of risk emerges — one that traditional IT governance isn’t equipped to manage. From hallucinations and data leaks to systemic bias and opaque decision-making, this article explores why LLMs demand a new approach to intelligence, risk, and responsibility in the age of AI.

As enterprises race to operationalize AI, the spotlight has shifted from just building models to building the infrastructure that sustains them. It’s no longer a question of whether an organization needs a modern data platform, but whether that platform is ready to fuel AI initiatives.

The financial services industry has reached a point where competitive advantage hinges on how well data is used. At Tarento, our Data and Analytics domain brings together engineering expertise, industry understanding, and ready-to-deploy accelerators to help financial organizations move from fragmented systems to intelligent, insight-ready ecosystems.

Organizations today are dealing with data that is constantly growing in volume, variety, and velocity. It is generated across departments, platforms, and systems, yet often remains underutilized. The real opportunity lies in the ability to use it intelligently and make every dataset relevant, every query meaningful, and every insight actionable.

Artificial Intelligence has become central to the way startups build, operate, and deliver in this era. AI no longer exists on the edges of product development. It has moved to the core of team structure, decision-making, and business validation. Startups that treat AI as a foundational principle are defining new benchmarks for success.