ARTICLES
Tarento: A Premier Delivery Partner for Infor ERPs

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.

How AI is impacting traditional DWH

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.

Understanding a Data Mesh

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.

How to improve productivity in DWH

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

Why is Snowflake successful today?

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

How to build high-performance data ingestion pipelines

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 in Data Warehouses

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.

How to Optimize Costs in Databricks

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.

How to handle geospatial data?

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.

What is Data fabric?

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.

How Generative AI is Quietly Powering the Future of Automation

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.

Scalable AI: The Unseen Engine Powering Business Transformation and Long-Term Success

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.

The Invisible Risks of LLMs: Why Enterprises Must Rethink Intelligence Before They Automate It

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.

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