Artificial intelligence will reach the mainstream in 2017, as the value of machine learning and analysis has become more apparent. Here are some of the predictions of corporate executives.
AI will inflation
“AI is a big theme for many investors, including myself. Although we are at the beginning of the technology change cycle AI, startups and investors need to be patient and focus on the challenges of the future.†- Rick Yang , NEA partner.
Machine learning is the trend
“There are a lot of hype about machine learning now, but in most cases, it is not being used very effectively. As we move forward, organizations are learning how to bring together all the ingredients needed for machine learning, I think this will be the story of 2017. We will see machine learning move from a mysterious, over-imitation era to more real worlds and have successful applications. Those who think this is a lie will end up Understand that this is true; those who don't trust it will see its potential; and some companies will use its power to gain inflation. Machine learning was thought to be just a trend a few years ago, but in 2017, It will be clear." - Jeff Everham, North American Consulting Director.
Intelligent networks lead to the rise of data clouds
“As any Internet (IoAT) and machine-to-machine connectivity continues to evolve, data silos will be replaced by data clouds. Real-time machine learning algorithms in modern distributed data applications will be algorithms that can determine “peer-to-peer†decisions in real time. We will begin to see the transition between post-production and real-time to pre-emptive analysis, which can drive transactions, not just modify or optimize them. This will identify new revenue streams, cost savings and increase for data-centric businesses. The ability of customer intimacy has a transformative impact.†- Scott Gnau, Chief Technology Officer, HortonWorks
Machine learning and artificial intelligence will be democratized
“In 2017, I expect to see more emphasis on the democratization of machine learning and artificial intelligence. We have seen machine learning evolved from IBM Watson a few years ago to the recent Salesforce and Oracle. Although many believe that machine learning has become mainstream But there are more potentials, such as performance monitoring and smart alerts. Although companies may face erroneous startup and initial errors when trying to crack code, more and more organizations turning to AI and machine learning will lead to more next year. Success. This increased adoption will help bring innovation to market faster.†- Mike Kelly, Chief Technology Officer, Blue Medora.
Predictive analysis tools will become a must-have item for 2017
Predictive analytics is not just an add-on to the brand, it will be a must for those who must understand and retain the user. At TInder, capturing rich data and predicting future behavior is key to a good user experience. Leanplum allows us to understand user preferences forever. In the near future, predictive analytics will further enhance our understanding of trends and patterns and help us bring more value to everyone on TInder. - Jeffrey Morris, Director of Product Management and Revenue, TInder.
AI will be seen as solving the labor crisis
“With retirement, companies are on the verge of losing important core people and knowledge. Companies that have lost these value employees are turning to knowledge management and machine learning to train artificial intelligence to capture what the organization wants and serve us. In the coming year and beyond, we will see that the adoption of artificial intelligence is not only due to its own technical needs, but also to capture the insight and expertise of its employees.†- Senior Vice President, Big Data and Analytics Platform, Infosys Abdul Razack, Director of Platforms
AI-as-a-Service will take off
“In 2016, artificial intelligence is more about solving known problems. In the future, we will start using AI to gain exploration of unknown areas. Using AI to discover these “unknown†will make us win more cooperation, interesting Innovation and the challenge of changing lives." - Abdul Razack, Senior Vice President and Platform Director, Infosys Big Data and Analytics Platform.
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