Latest AI articles

4 data quality challenges that hinder data operations

4 data quality challenges that hinder data operations

Data quality is key for any organization utilizing data for operations, and it starts with mitigating data quality challenges that lead to inaccurate or misleading…

6 dimensions of data quality boost data performance

6 dimensions of data quality boost data performance

Artificial intelligence and machine learning can generate quality predictions and analysis, but first require organizations be trained on high quality data, starting with the six…

Measuring the business impact of AI

Measuring the business impact of AI

Artificial intelligence is in transition, both as a technology and in how it’s being used. Companies are increasingly bringing AI pilots out of the test…

A New Strategy to Address the AI Talent Shortage

A New Strategy to Address the AI Talent Shortage

According to IBM’s 2022 Global AI Adoption Index, a survey of over 7,500 IT leaders, AI adoption has hit an all-time high. Worldwide, AI adoption currently…

AI in cybersecurity: Raising the stakes for enterprise defense

AI in cybersecurity: Raising the stakes for enterprise defense

Artificial intelligence is supercharging the cyberwarfare between attackers and victims. Enterprises, governments and other organizations now have access to more powerful weapons in their defensive…

Unlocking the hidden value of dark data

Unlocking the hidden value of dark data

IT leaders seeking to derive business value from the data their companies collect face myriad challenges. Perhaps the least understood is the lost opportunity of…

Data lakehouses give enterprises analytics edge

Data lakehouses give enterprises analytics edge

For enterprises looking to wrest the most value from their data, especially in real-time, the “data lakehouse” concept is starting to catch on. The idea…

Computer vision is primed for business value

Computer vision is primed for business value

Over the past few years, computer vision applications have become ubiquitous. From phones that recognize the faces of their users, to cars that drive themselves,…

9 ways hackers will use machine learning to launch attacks

9 ways hackers will use machine learning to launch attacks

Machine learning and artificial intelligence (AI) are becoming a core technology for some threat detection and response tools. The ability to learn on the fly…

10 key roles for AI success

10 key roles for AI success

More companies in every industry are adopting artificial intelligence and automation systems to transform business processes. But the success of their AI initiatives depends on…

Traditional BI vs. self-service BI shouldn’t be a choice

Traditional BI vs. self-service BI shouldn’t be a choice

Traditional vs. self-service business intelligence doesn’t have to be an either-or choice. Both bring different tools and benefits to organizations. Many organizations are leaving value…

Making the most of MLOps

Making the most of MLOps

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. Is there a model that can…

6 business risks of shortchanging AI ethics and governance

6 business risks of shortchanging AI ethics and governance

Depending on which Terminator movies you watch, the evil artificial intelligence Skynet has either already taken over humanity or is about to do so. But it’s not…

How SASE uses AI

How SASE uses AI

Secure access service edge, or SASE, combines networking and security into a cloud-based service, and it’s growing fast. According to Gartner projections, enterprise spending on SASE will…

Why businesses should know the importance of data quality

Why businesses should know the importance of data quality

Organizations can harness great benefits from data, but understanding the importance of data quality, trust and avoiding bias allows them to make decisions and create…

AI takes aim at employee turnover

AI takes aim at employee turnover

Employees are quitting jobs at record rates and companies are having a hard time luring them back. Exacerbating the problem is the fact that employees…

10 tips for getting started with decision intelligence

10 tips for getting started with decision intelligence

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated…

What is synthetic data? Generated data to help your AI strategy

What is synthetic data? Generated data to help your AI strategy

Synthetic data defined Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual…

10 enterprise AI trends for 2022

10 enterprise AI trends for 2022

Artificial intelligence has hit the mainstream. Across industries, companies have rolled out successful proofs-of-concept and have even been successful in deploying AI in production. Some…

Your AI strategy’s secret ingredient

Your AI strategy’s secret ingredient

AI is increasingly becoming a business imperative. Nine in 10 Fortune 1000 companies are not only investing in AI, but are increasing those investments, with…

How to know when AI is the right solution

How to know when AI is the right solution

AI adoption is on the rise. According to a recent McKinsey survey, 55% of companies use artificial intelligence in at least one function, and 27%…

Top 5 elements needed for a successful data warehouse

Top 5 elements needed for a successful data warehouse

As companies strive for a unified view of their customers and other key corporate data, many turn to data warehouses as a place to keep…

6 AIOps hurdles to overcome

6 AIOps hurdles to overcome

IT operations teams have a lot to juggle. They manage servers, networks, cloud infrastructure, user experience, application performance, and cybersecurity, often working independently of one…

The benefits of embedded analytics

The benefits of embedded analytics

Traditional business intelligence platforms are designed to be used by expert users, data scientists or statisticians. These valuable employees wind up spending too much time…

7 top predictive analytics use cases: Enterprise examples

7 top predictive analytics use cases: Enterprise examples

Predictive modeling helps companies optimize their internal operations, improve customer satisfaction, manage budgets, identify new markets and anticipate the impact of external events, among other…

Data warehouses and holistic business intelligence

Data warehouses and holistic business intelligence

Business intelligence is the process of analyzing company data to better understand that data, spot anomalies or trends and make predictions. It’s possible to do…

Making the most of sentiment analysis

Making the most of sentiment analysis

Sentiment analysis is beginning to prove its mettle in the enterprise. This analytic technique, which enables companies to  determine the emotional value of communications, is…

What is a chatbot? Simulating human conversation for service

What is a chatbot? Simulating human conversation for service

Chatbot definition A chatbot is a software application designed to simulate human conversation with users via text or speech. Also referred to as virtual agents,…

What is sentiment analysis? Using NLP and ML to extract meaning

What is sentiment analysis? Using NLP and ML to extract meaning

Sentiment analysis defined Sentiment analysis is analytical technique that uses statistics,  natural language processing, and machine learning to determine the emotional meaning of communications. Companies…

What is AIOps? Injecting intelligence into IT operations

What is AIOps? Injecting intelligence into IT operations

Cloud platforms, managed service providers and organizations undertaking digital transformations are beginning to reap the benefits of an emerging IT trend: the use of AI-powered…