AI business strategies

Artificial intelligence software is changing how enterprises conduct business. Machine learning supports data-driven decisions, customer service chatbots follow up on leads, robots in manufacturing boost productivity -- the list goes on. Get advice for building and implementing AI business strategies.

June 22, 2021 22 Jun'21
Open source RPA vendor Robocorp raises $21 million

Software automation startup based on open source framework that originated at Finnish tech giant Nokia seeks to challenge bigger RPA vendors with consumption-based pricing, orchestration platform.
June 10, 2021 10 Jun'21
Microsoft's acquisition of Nuance clears antitrust hurdle

The U.S. government didn't flag the Microsoft-Nuance acquisition as violating antitrust laws, but scrutiny of big tech continues as governments try to reign in powerful companies.
June 09, 2021 09 Jun'21
M&A wave rising in hot AI market

The market is ripe for more AI M&A deals as enterprise demand for AI talent, MLOps and vertical applications rose during the pandemic.
May 28, 2021 28 May'21
Microsoft revs up AI push with GPT-3-enabled Power Apps

GPT-3-enabled Microsoft Power Apps will enable those with little or no coding experience to build Power FX applications on Azure using natural, conversational language.

Bring yourself up to speed with our introductory content

The benefits of an AI-first strategy

Enterprises should put AI first in their business strategies by constantly collecting and using new data to power AI models, argues startup investor Ash Fontana. Continue Reading
artificial intelligence

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Continue Reading
9 top applications of artificial intelligence in business

The use of AI in business applications and operations is expanding. Learn about where enterprises are applying AI and the benefits AI applications are driving. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

A guide to artificial intelligence in the enterprise

AI in the enterprise will change how work is done, but companies must overcome various challenges to derive value from this powerful and rapidly evolving technology. Continue Reading
9 top AI and machine learning trends for 2021

Tiny ML, multi-modal learning, responsible AI -- learn about the top trends in AI for 2021 and how they promise to transform how business gets done. Continue Reading
5 ways AI bias hurts your business

A biased AI system can lead businesses to produce skewed, harmful and even racist predictions. It's important for enterprises to understand the power and risks of AI bias. Continue Reading

Learn to apply best practices and optimize your operations.

Building trustworthy AI is key for enterprises

Organizations need to focus on transparency in models, ethical procedures and responsible AI in order to best comply with guidelines for developing trustworthy AI systems. Continue Reading
10 steps to achieve AI implementation in your business

Maximizing the value of insights into your business, industry and competition requires a thoughtful, creative, experimental, incremental and team approach to deploying AI. Continue Reading
7 key benefits of AI for business

Leading AI experts expound on seven areas where artificial intelligence technologies can improve business operations and services. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Combating racial bias in AI

By employing a diverse team to work on AI models, using large, diverse training sets, and keeping a sharp eye out, enterprises can root out bias in their AI models. Continue Reading
Tackling the AI bias problem at the origin: Training data

Though data bias may seem like a back-end issue, the enterprise implications of an AI software using biased data can derail model implementation. Continue Reading
9 data quality issues that can sideline AI projects

The quality of your data affects how well your AI and machine learning models will operate. Getting ahead of these nine data issues will poise organizations for successful AI models. Continue Reading