Harnessing Azure OpenAI for Generative AI Solutions

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Data and Analytics, Data Platforms

Becoming an Insights-Driven Business With Microsoft Fabric

When using and investing in data and analytics solutions, simplicity, integration, and effectiveness are the names of the game. Microsoft Fabric...

Data Mesh and Data Fabric: Paradigms in Data Management

In our previous article, we explored the landscape of data management, and how organizations are navigating it with new and existing approaches as...

3 Paradigms in Data Management That Businesses Need To Know

What’s next for companies in data management? It has become a crucial aspect of business operations in the current age of digital transformation. The...

Data ROI: Maximizing Value From Data and Analytics

Previously, we delved into how enterprises can optimize their data and analytics costs. In this, our last post in the Data ROI series, we’ll show you...

Data ROI: How to Optimize Data Spend

In our previous post, we showed that since business costs are increasing, it is wiser to reduce data costs and maximize the use of current data and...

Data ROI: Challenges and Opportunities

With ever-increasing costs, enterprises would be wise to make the most out of the data and analytics tools and systems that they already have....

Analytics and Technology Trends and Predictions for 2023: Toward Resilience

Organizations are facing a period of transition and volatility — 2023 will be marked as the year when battle lines are drawn along a technology...

How Managing Analytics Projects Affects Data Quality

Analytics projects rely on data to create actionable insights for the business. Using poor-quality data not only wastes time and reduces productivity...

Data Quality: A Key Success Factor in Analytics Projects

Quality assurance in IT projects is vital. Quality can encompass IT systems, applications, business processes, project management, and above all,...

Workplace Analytics: Using Data to Avoid Collaboration Overload

There’s much to like — and worry — about collaboration at work. When done right, organizations innovate and achieve milestones. When done...

Viva Insights and Advanced Analytics: Redefining the Employee Experience

Organizations exploring ways to successfully navigate the postpandemic workplace should see “The Great Resignation” as a catalyst for change. New...

Barriers to Data Literacy and Measuring Analytics Maturity

In 2002, Major League Baseball (MLB) team Oakland Athletics struggled to attract top-tier talent with their US$41-million team salary. In contrast,...

Creating a Positive Workplace Experience With Analytics

Remote work is here to stay, but the challenges that come with it don’t have to. Workplace analytics and employee experience platforms like Microsoft...

Demystifying DevOps: How Analytics Helps in IT Operations

DevOps is not just about automation, or the cloud. Adopting DevOps in IT operations and technology delivery means disrupting ingrained corporate...

Analytics Trends and Predictions for 2022: Greener, Diverse, and...

Artificial intelligence. Machine learning. Digital transformation. Omnichannel. Automation. Predictive analytics. These were the buzzwords that...

Promoting Data Literacy and Fostering a Data-Driven Culture in the Company

To be a Data-Driven organization, its people need to be data literate first. Promoting data literacy, however, is more than just a numbers game....

How Empowering a Manufacturer With Analytics Won Us an Award

The times of uncertainty and disruption across industries have paved the way for organizations to shift priorities and improve cost management,...

Cybersecurity in Data Analytics – Social Engineering Attacks

As mentioned in the opening article of the series, the pandemic has changed how business is done by forcing a rapid switch towards remote working....

Addressing Cybercrime During the Pandemic

While countries are slowly opening back up after the global lockdown, many people are still staying indoors and working from their homes. Companies...

Transforming Business with Master Data Management

Success in the digital economy requires knowing exactly what your customers want, when they want it. MDM enables you to create a single, centralized,...

The Yellow Brick Road to Digital Transformation: An Executive Guide

If your enterprise is going through a digital transformation, it may feel like you’ve been picked up by a chaotic tornado of immature IT solutions,...

Conceptualizing Data Products with Ideas2Concepts

In our experience, enterprises almost never question whether their data analytics solutions can help them do business better. Many enterprises do,...

3 Digital Transformation Mistakes and How to Avoid Them

To some extent, we could blame the challenging environment for the failures. New technologies are emerging fast. Enterprise cloud and IoT solutions...

Big Data Flood, Part 4: The Privacy Costs of Financially Free Technology

This article is the fourth in a series on the everyday implications of the big data flood. Follow these links to read parts one, two, and three.

How Economic Principles Still Apply to the Automated Economy

This article is the third in a series on the everyday implications of the big data flood. Follow these links to read parts one and two.

Big Data Flood, Part 2: The Pros, Cons, and Realities of Artificial...

This article is the second in a series on Everyday Implications of the Big Data Flood. See the first article here.

Everyday Implications of the Big Data Flood, Part 1

As you are probably aware, the total amount of data in the world is exploding.

What Augmented Analytics Can Do for You… And What It Can’t

Why Smart Data Discovery Still Requires Smarts

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Harnessing Azure OpenAI for Generative AI Solutions

Trending Topics

The Lingaro MLOps Framework for Delivering AI Solutions

Streamlining Manufacturing Processes with Data

Becoming an Insights-Driven Business With Microsoft Fabric

Industry and Data Insights

Data and Analytics, Data Platforms

Becoming an Insights-Driven Business With Microsoft Fabric

Data and Analytics, Data Platforms

Data Mesh and Data Fabric: Paradigms in Data Management

Data and Analytics

3 Paradigms in Data Management That Businesses Need To Know

Data and Analytics

Data ROI: Maximizing Value From Data and Analytics

Data and Analytics

Data ROI: How to Optimize Data Spend

Data and Analytics

Data ROI: Challenges and Opportunities

Data and Analytics, Newsroom

Analytics and Technology Trends and Predictions for 2023: Toward Resilience

Data and Analytics

How Managing Analytics Projects Affects Data Quality

Data and Analytics

Data Quality: A Key Success Factor in Analytics Projects

Data and Analytics

Workplace Analytics: Using Data to Avoid Collaboration Overload

Data and Analytics

Viva Insights and Advanced Analytics: Redefining the Employee Experience

Data and Analytics

Barriers to Data Literacy and Measuring Analytics Maturity

Data and Analytics

Creating a Positive Workplace Experience With Analytics

Data and Analytics

Demystifying DevOps: How Analytics Helps in IT Operations

Data and Analytics, Newsroom

Analytics Trends and Predictions for 2022: Greener, Diverse, and...

Data and Analytics

Promoting Data Literacy and Fostering a Data-Driven Culture in the Company

Data and Analytics, Newsroom

How Empowering a Manufacturer With Analytics Won Us an Award

Data and Analytics

Cybersecurity in Data Analytics – Social Engineering Attacks

Data and Analytics

Addressing Cybercrime During the Pandemic

Data and Analytics

Transforming Business with Master Data Management

Data and Analytics

The Yellow Brick Road to Digital Transformation: An Executive Guide

Data and Analytics

Conceptualizing Data Products with Ideas2Concepts

Data and Analytics

3 Digital Transformation Mistakes and How to Avoid Them

Data and Analytics

Big Data Flood, Part 4: The Privacy Costs of Financially Free Technology

Data and Analytics

How Economic Principles Still Apply to the Automated Economy

Data and Analytics

Big Data Flood, Part 2: The Pros, Cons, and Realities of Artificial...

Data and Analytics

Everyday Implications of the Big Data Flood, Part 1

Data and Analytics, AI and ML

What Augmented Analytics Can Do for You… And What It Can’t