Problem solve

Problem solve

Get help with specific problems with your technologies, process and projects.

• Serverless machine learning reduces development burdens

  Getting started with machine learning throws multiple hurdles at enterprises. But the serverless computing trend, when applied to machine learning, can help remove some barriers. Continue Reading

• Collaborative robots' safety stalls enterprise implementation

  Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading

• How to solve deep learning challenges through interoperability

  The challenges of training and overseeing advanced neural networks is leading to an implementation bottleneck in deep learning technology. Continue Reading

• Experts discuss pressing data science problems and solutions

  Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges. Continue Reading

• The future scope of chatbots begins with addressing flaws

  Chatbots are hot software in the enterprise, but to maintain longevity and relevance, developers need to take a look at the barriers to entry, interface options and NLP issues. Continue Reading

• 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

• Automatic meeting transcription records business sessions

  By using an automated transcription platform from Fireflies.ai, employees at Zenatta Consulting can more easily find and read transcripts from important client calls.Continue Reading

• Berklee uses SnapLogic for its AI in higher education needs

  Berklee College of Music needed intelligent integration for its two student portals after a merger with the Boston Conservatory. The college chose SnapLogic to connect the systems.Continue Reading

• 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

• Clean data for machine learning is key to successful AI

  Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI.Continue Reading

• March Madness analytics, AI help data scientist fill bracket

  To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics.Continue Reading

• How will the GDPR and AI clash affect enterprise applications?

  Compliance rules for GDPR and AI implementation may not seamlessly work together. Experts say AI's automated decisions on customer data are risky and need to be explainable.Continue Reading

• Arkose Labs puts AI in cybersecurity

  Cybersecurity vendor Arkose Labs uses fraud prevention AI to block web-based bots while allowing human users to safely get to the content they want.Continue Reading

• Common sense AI approaches point to more general applications

  The race to attain artificial general intelligence is on. Ranging from predictions of 10 to 200 years away, the one thing experts can agree on is that common sense AI is the next step in the journey.Continue Reading

• Debate over AI in the workforce requires a broad view

  Enterprises that are poised to implement AI in the workforce don't have to forfeit human jobs to do so. Read a Dun & Bradstreet analyst's take on the intent of enterprise AI.Continue Reading

• AI for accessibility helps people with disabilities

  AI for people with disabilities is making a meaningful difference in their ability to navigate the world and participate in all the activities of daily life.Continue Reading

• AI taking jobs is not a concern for certain workers

  AI and job loss may turn out to be among the biggest stories of this century, but workers in certain fields don't have nearly as much to worry about as others.Continue Reading

• Convert unstructured data to structured data with machine learning

  With access to powerful compute power and advances in machine learning, unstructured data is becoming easier and cheaper for businesses to turn into usable sources of insight.Continue Reading

• AI and jobs collide as automation looms

  AI automation will eliminate a broad swath of today's jobs over time, but some jobs are likely to disappear sooner than others due to the uneven pace of technology development.Continue Reading

• 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

• 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

• 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

• 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

• Machine vision makes paper a thing of the past for insurers

  The insurance industry is buried in paper-based processes. Former MetLife CIO Gary Hoberman aims to change that with a platform that runs on AI and machine vision.Continue Reading

• Why machine learning models require a failover plan

  Flawed machine learning models lead to failures and user interruptions. Expert Judith Myerson explains the causes for failures and how a failover plan can improve user experience.Continue Reading