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AI and ML

Unlock the Power of AI: Get Your Data Ready for the Future

Consumer-facing AI is everywhere — and we use different types of it all the time. We unlock our gadgets with facial recognition, write emails and...

AI and ML

Preparing Your Data for AI: A Strategic Guide for Future-Ready...

In today's rapidly evolving business landscape, the effective utilization of data has become paramount for enterprises looking to stay ahead of the...

AI and ML

Why AI (and GenAI) Projects Fail and How to Avoid it

Artificial intelligence (AI) is a powerful technology that can transform businesses and industries. However, implementing AI is a task that’s prone...

AI and ML

The AI-fication of Data Engineering Bolsters AI Development

For AI to produce high-caliber output, be it analytics insights or completely new content, AI needs well-sourced, standardized, and well-governed...

AI and ML

Multimodal Generative AI: What Is It to Enterprises?

Generative AI might have appeared to be a gimmick in its nascent stages. However, it actually presented significant scientific and practical...

AI and ML

3 Success Stories on How AI Can Help You Win in Retail

AI’s benefits in the retail and CPG industries are immense — so much so that 77% of C-level executives surveyed by NVIDIA reported that they already...

AI and ML

2024 Agenda for AI: LLMs Are the Key for Greater Automation

According to Lingaro Senior Data Scientist and AI Advisor Maciej Michalek, the biggest potential of large language models (LLMs) lies in its capacity...

AI and ML

How Enterprises Can Utilize a Smarter, More Responsible AI

Generative AI is 2023’s newsmaker. But as is often the case with newfangled, enigmatic technology that promises to change the world, there's been a...

AI and ML

2024 Tech and Analytics Trends: Responsibly Gaining ROI on GenAI

Despite the understandable skepticism, generative AI will continue to be weaved into the business fabric and redefine ways of working. Data will get...

AI and ML

The Lingaro MLOps Framework for Delivering AI Solutions

In an earlier post, we showed how Azure Machine Learning (ML) enables enterprises to implement AI solutions with high MLOps maturity to efficiently...

AI and ML

MLOps: Enabling the Enterprise With Azure AI

In our previous post, we covered the challenges enterprises face when building machine learning models, how machine learning operations (MLOps)...

AI and ML

Harnessing Azure OpenAI for Generative AI Solutions

The growing adoption and investment in generative AI highlight its potential to revolutionize industries. From creating realistic virtual worlds for...

AI and ML

Challenges and Opportunities in Implementing MLOps

Machine learning models offer cost savings, increased efficiencies, and impressive innovations, provided that your enterprise can overcome the...

AI and ML

An End-to-End Approach to Implementing Generative AI

Businesses face a pressing need to efficiently generate new outputs and outcomes, particularly when using generative AI. An end-to-end approach...

AI and ML

Generative AI for Enterprises: Approaches to Implementation

The promise of generative AI is enticing — the ability to generate new content at a scale never before possible. With the cost of implementation and...

AI and ML

The Limitations of Generative AI, According to Generative AI

Generative AI tools can do all sorts of things, such as write blog posts like this one, albeit partially and with a lot of edits by a human writer....

AI and ML

What’s New With GPT-4: Examples and Use Cases

From creating websites, writing drafts of lawsuits, doing tax, and composing songs to wearing multiple hats and personas, it seems GPT-4 has no...

AI and ML

What’s New With GPT-4: Features and Limitations

GPT-4 reportedly boasts features and functionalities that blow its previous iterations out of the water, further challenging how we work and create....

AI and ML

The Feats and Caveats of Generative AI (Part 2)

Generative AI has captured the fascination and imagination of artists, scientists, engineers, businesspeople, and everyday end users alike. Its...

AI and ML

The Feats and Caveats of Generative AI (Part 1)

What we’re currently seeing about generative AI is remarkable and awe-inspiring that many might deem it a mature innovation ready to upend the...

AI and ML

Generative AI, Explained by Humans

Generative AI derives its moniker from its capability to create new outputs such as images, texts, and audios based on the data they’ve been trained...

AI and ML

Enabling Enterprises to Operationalize AI and ML

Organizations attempting to realize the tremendous value and potential of AI often struggle with technical, organizational, and cultural roadblocks....

AI and ML

Artificial Neural Networks, Part 3: Who’s Afraid of ANNs?

This article is the third in a series on artificial neural networks. Follow these links to read the first and second.

Data and Analytics, AI and ML

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

Why Smart Data Discovery Still Requires Smarts

AI and ML

3 Ways You’re Already Using Artificial Neural Networks

This article is the second in a series on artificial neural networks (ANNs).

AI and ML

The (First) Rise and Fall in Artificial Neural Network Popularity

This is the first article in a three part series on artificial neural networks. You probably know plenty of technology buzzwords.

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Industry and Data Insights

AI and ML

Unlock the Power of AI: Get Your Data Ready for the Future

AI and ML

Preparing Your Data for AI: A Strategic Guide for Future-Ready...

AI and ML

Why AI (and GenAI) Projects Fail and How to Avoid it

AI and ML

The AI-fication of Data Engineering Bolsters AI Development

AI and ML

Multimodal Generative AI: What Is It to Enterprises?

AI and ML

3 Success Stories on How AI Can Help You Win in Retail

AI and ML

2024 Agenda for AI: LLMs Are the Key for Greater Automation

AI and ML

How Enterprises Can Utilize a Smarter, More Responsible AI

AI and ML

2024 Tech and Analytics Trends: Responsibly Gaining ROI on GenAI

AI and ML

The Lingaro MLOps Framework for Delivering AI Solutions

AI and ML

MLOps: Enabling the Enterprise With Azure AI

AI and ML

Harnessing Azure OpenAI for Generative AI Solutions

AI and ML

Challenges and Opportunities in Implementing MLOps

AI and ML

An End-to-End Approach to Implementing Generative AI

AI and ML

Generative AI for Enterprises: Approaches to Implementation

AI and ML

The Limitations of Generative AI, According to Generative AI

AI and ML

What’s New With GPT-4: Examples and Use Cases

AI and ML

What’s New With GPT-4: Features and Limitations

AI and ML

The Feats and Caveats of Generative AI (Part 2)

AI and ML

The Feats and Caveats of Generative AI (Part 1)

AI and ML

Generative AI, Explained by Humans

AI and ML

Enabling Enterprises to Operationalize AI and ML

AI and ML

Artificial Neural Networks, Part 3: Who’s Afraid of ANNs?

Data and Analytics, AI and ML

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

AI and ML

3 Ways You’re Already Using Artificial Neural Networks

AI and ML

The (First) Rise and Fall in Artificial Neural Network Popularity