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Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models

There is no doubt that machine learning (ML) is transforming industries across the board, but its effectiveness depends on the data it’s trained on. The ML models traditionally rely on real-world datasets to power the recommendation algorithms, image analysis, chatbots, and other innovative applications that make it so transformative.  However, using actual data creates two significant challenges […]

A Financial Approach to Evaluating Data, Analytics, and AI Investments

Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes. Despite various reasons for […]

Crafting a Secure Future: Integrating an AI-First Security Posture

It is now well understood that integrating AI into an organization’s digital infrastructure will unlock real-time insights for decision-makers, streamline internal workflows by automating repetitive tasks, and enhance customer service interactions with AI-powered assistants. This technology will accelerate everything from purchases to personalized service requests. These benefits have made AI an essential component of modern […]

Unreliable Data Is Essential for AI Progress, and That’s Not a Bad Thing

In May, OpenAI announced a partnership with Reddit to train its language models using the forum’s extensive collection of user-generated content. OpenAI’s goal of enhancing its models’ ability to respond to real-world conversations and diverse linguistic patterns seemed straightforward. But the decision quickly sparked concerns – namely, the potential inclusion of misinformation and biased content in the […]

AIOps and Its Impact on Product Support and Maintenance

In today’s virtual-first economic system, companies are under relentless strain to ensure their products deliver the most effective overall performance with minimal downtime. Whether it’s SaaS software serving thousands of customers globally, or a complex company platform assisting vital commercial enterprise functions, the call for reliability and efficiency is higher than ever. As IT infrastructures […]

The Role of Data Engineering in AI and Machine Learning Projects

Artificial intelligence and machine learning are revolutionizing nearly every industry, from healthcare and finance to manufacturing and entertainment. Intelligent assistants, self-driving cars, facial recognition systems, and many other contributions are on the list. However, behind the glitz and glamor of these advancements, there is an underappreciated field: data engineering.  Data is the lifeblood that fuels today’s […]

Best Practices for Getting Company Data Ecosystems AI-Ready

Organizations invest considerable resources into collecting customer data to build digital footprints and profiles for enhancing the customer experience (CX). Previous technologies and toolsets limited businesses to simple, structured data, which included mainly transactional information as well as customer and call center conversations. Then, they would use a solution like sentiment analysis to determine if […]

Sustainable Data Centers: The Green Revolution in Data Management

With the rise of technology, data centers – the foundation of our internet-powered lives – are under increasing scrutiny for their overall environmental impact.  These massive facilities consume vast amounts of energy and water, contributing significantly to carbon emissions. However, the tide is turning. A growing trend toward sustainability is reshaping the way data centers operate, […]