27 July 2019
Those with the HR teams, training program, organizational structures, and adaptable staff will be best prepared for this fast-approaching reality.
Artificial Intelligence is already forcing leadership teams around the world to reconsider some of their core structures. Fundamentally. organizations need an AI Strategy to stay completive
While AI technologies are still in their infancy, it won’t be long before every organization is forced to develop their own AI strategy in order to stay competitive.
27 July 2019
While the expansion of robotic process automation has reduced headcount in the back office, it's a different story for customer service and sales.
In a Forrester report, 46 percent of organizations said sales and marketing are leading the investment in and adoption of AI, followed by customer support (40 percent).
AI investments are increasing and there will be a domino effect throughout sales, marketing, and customer support. This will have a direct impact on both employees and customers.
AI will augment humans rather than replace them.
23 July 2019
There is a fear among many people that AI Systems will become so much smarter than humans, take all of our jobs, and humans may even lose their dominance at the top of the food chain.
Their worry seems to originate from experts who are asking themselves the same question— e.g. Elon Musk, Max Tegmark, Sam Harris, and Bill Gates.
Underlying the scenario of an AI world takeover are five misconceptions that are not based in evidence.
By the end of the century, AI will touch and remake everything in our lives.
21 July 2019
Artificial Intelligence (AI) is fundamentally changing how businesses operate across all sectors, including manufacturing, healthcare, IT, and transportation.
Advancements in AI over the last decade are presenting opportunities for companies to automate business processes, transform customer experiences, and differentiate products offerings.
CBInsights has prepared a list of the major AI trends to follow in 2018.
09 July 2019
Training your AI systems efficiently will require a large dataset.
When thinking of powerful AI it is critical to initially concentrate on the data collection required to drive the Machine Learning and Natural Language Processing.
The more data you can collect from the user and send to a well-structured database, the more information your Natural Language Processing and Machine Learning will have to create a world-class AI experience.
Automating the training of machine-learning systems will make AI more accessible.
17 June 2019
Machine learning techniques are now being used to directly detect fast radio bust (FRB) that may be one of the signatures of intelligent life in the universe. Applying machine learning for signal detection promises to open up new avenues for identifying signals from extraterrestrial intelligence.
The SETI Institute has been using IBM Cloud and AI algorithms to analyze over 20 million signals captured by the ATA radio telescopes.