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.
Top Stories
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News
11 Jun 2025
Meta introduces new world model for robots and agents
The social media giant's new V-JEPA 2 helps robots and agents learn more about the real world. It comes as the vendor seeks to be more competitive in GenAI. Continue Reading
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News
10 Jun 2025
U.S. will need policy to navigate EU rules
Protecting U.S. tech companies from the EU's regulatory regime will present a challenge to U.S. officials, who have pursued antitrust cases against big tech. Continue Reading
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Feature
10 Sep 2018
RPA strategy takes advantage of fast-growing market
The RPA market is rapidly growing, and it's little wonder why. Using RPA best practices, businesses can deploy RPA quickly and potentially use it to save time and money. Continue Reading
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Feature
05 Sep 2018
Music composed by AI breathes new life into video games
AI-generated music could help indie video game developers incorporate another element into procedurally generated worlds, making them more dynamic and lifelike. Continue Reading
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Feature
14 Aug 2018
Algorithmic bias top problem enterprises must tackle
No enterprise today would roll out an obviously biased AI tool, but many remain unaware of the risks of unconscious bias in algorithms, which can produce equally dangerous results. Continue Reading
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News
10 Aug 2018
Microsoft Dynamics 365 updates add AI features to CRM
Microsoft has introduced new updates to its Dynamics 365 CRM platform, including AI-driven business intelligence tools for sales, marketing and service. Continue Reading
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Feature
06 Aug 2018
AI process automation offers benefits, but challenges remain
Enterprises are starting to employ machine learning tools as part of their AI automation strategies, but several key challenges stand in the way of effective usage. Continue Reading
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Feature
19 Jul 2018
At Intuit, machine learning enhances products, CTO says
Intuit's machine learning and AI technology are transforming its many financial software products. CTO Tayloe Stansbury discusses what that means for Intuit. Continue Reading
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Feature
18 Jul 2018
AI for business operations starts to offer value
Businesses are starting to implement AI in operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for human workers. Continue Reading
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Feature
12 Jul 2018
The threats of AI must be taken seriously to prevent harm
The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches. Continue Reading
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Tip
25 Jun 2018
Building a data science team in today's data-centric climate
Finding and training data scientists to build a data science team can be challenging. But in a recent webinar, a Gartner analyst offered tips on how to do it. Continue Reading
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Feature
30 May 2018
Addressing the ethical issues of AI is key to effective use
Enterprises must confront the ethical implications of AI use as they increasingly roll out technology that has the potential to reshape how humans interact with machines. Continue Reading
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Feature
22 May 2018
Combination of blockchain and AI makes models more transparent
Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. Continue Reading
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Feature
17 May 2018
Threats of AI include malicious use against enterprises
As sophisticated tools become easier to use, enterprises need to protect themselves against AI threats to ensure they do not become the victims of malicious attacks. Continue Reading
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Podcast
15 May 2018
Avoid bias in algorithms for best AI results
In this podcast, we examine leading thoughts on the problem of AI bias and how to mitigate some of the most common sources of unfair treatment of users of AI applications. Continue Reading
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Feature
27 Apr 2018
AI implementation is a winner-take-all race, analyst says
Your AI strategy should focus on growth rather than efficiency, says McKinsey analyst Jacques Bughin -- advice that enterprises rarely hear when launching projects. Continue Reading
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Feature
25 Apr 2018
GDPR regulations put premium on transparent AI
As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading
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Feature
02 Apr 2018
How to keep your implementation of AI free from algorithm bias
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models. Continue Reading
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Feature
28 Mar 2018
Humans and AI tools go hand in hand in analytics applications
Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info. Continue Reading
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Feature
27 Mar 2018
Artificial intelligence in business strategies, uses
SearchEnterpriseAI delivers news, tips and strategic advice on applying artificial intelligence technologies in the enterprise to improve products, services and operations. Continue Reading
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News
02 Mar 2018
Expert panel warns developers to beware of AI bias
Despite new development tools to build AI applications, developers must be wary of bias creeping into their systems. Continue Reading
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Tip
09 Jan 2018
Dun & Bradstreet's chief data scientist: Don't ignore these eight AI topics
Anthony Scriffignano's list of AI topics to watch in 2018 highlights the benefits and complications the widespread application of artificial intelligence technology will have on the enterprise in the coming year. Continue Reading
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News
21 Jun 2017
Mathematician warns against weapons of 'math' destruction
In this SearchCIO Q&A, author and data scientist Cathy O'Neil talks about the danger of trusting algorithms too much. Continue Reading