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.
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We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.
AI business strategies News
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October 10, 2019
10
Oct'19
As more push for explainable AI, companies add features
As businesses demand more explainable AI, vendors such as IBM and DarwinAI are introducing new features to help break down for business users how AI systems work.
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October 07, 2019
07
Oct'19
Government AI strategy includes tech transfer to private sector
The Department of Energy's chief commercialization officer works with the DoE's national laboratories on transferring AI and other technologies to the private sector.
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October 02, 2019
02
Oct'19
Pride and nerves delay AI adoption in the enterprise
A new study shows that AI adoption in the enterprise is slower than it ought to be. Experts point to a lack of education, the need for explainable AI, and even executive pride.
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October 02, 2019
02
Oct'19
Hiring algorithms prove beneficial, but also raise ethical questions
AI-capable tools in recruiting are being adopted by large users, such as Hilton and Delta Air Lines. The tools can cut recruiting time and costs, but they also raise questions about how to vet them.
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Ethical data mining and analytics elude privacy, usage snafus
This handbook examines the ethics of data mining and offers advice on missteps to avoid when mining and analyzing customer data to help drive marketing campaigns. Continue Reading
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An in-depth look at IoT and AI
Discover the benefits of AI and IoT, best practices for deploying the combo at the network edge and how blockchain might be the secure connection between the two techs. Continue Reading
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AI in IoT elevates data analysis to the next level
As IoT devices voraciously gather data, many companies are unprepared to take it all in. Deploying AI in IoT systems can make a profound difference when sorting through data. Continue Reading
Evaluate AI business strategies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Ethical concerns of AI call growing adoption into question
AI tools are getting easier to use every day, putting powerful tools into the hands of potentially malicious users. The time to think about the ethics of AI advances is now. Continue Reading
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Clashes between AI and data privacy affect model training
Enterprises' lax data rules reveal weaknesses around AI and model training -- particularly machine learning's reliance on unrestrained big data collection. Continue Reading
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Enterprises work toward AI trust and transparency
If ignored, a lack of trust in AI algorithms could diminish user adoption. To remedy this risk, enterprises are working to make their applications more transparent and explainable. Continue Reading
Manage AI business strategies
Learn to apply best practices and optimize your operations.
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Using enterprise intelligent automation for cognitive tasks
RPA is no longer comprised of simple chatbots or repetitive programmed tasks. Enterprises are looking at RPA to move up the ladder of cognitive automation. Continue Reading
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Governance, compliance, ethics in data mining: Separate but equal
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading
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The future of data science and AI points to automatic tools
The relationship between data scientists and companies using AI is evolving rapidly, shifting from a focus on trained professionals to experienced employees with automated tools. Continue Reading
Problem Solve AI business strategies Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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How to overcome the data scientist shortage
The industrywide data scientist shortage is leading companies like Schneider Electric to look internally for employees with a technical background and invest in training them. Continue Reading
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How to solve the black box AI problem through transparency
Ethical AI black box problems complicate user trust in the decision making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading
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AI vendors attack data scientist shortage with trainings
Internal data science training programs have helped vendors when colleges and universities have failed. Training is helping to fix the data scientist shortage. Continue Reading