During 2017 it was hard to escape predictions that artificial intelligence is about to change the world. In 2018, this is unlikely to change. However, an increased focus on repeatable and quantifiable results is likely to ground some of the "big picture" thinking in reality. Don't get me wrong - in 2018 AI and machine learning will still be making headlines, and there are likely to be more sensationalized claims about robots wanting to take our jobs or even destroy us. However, stories about real innovation and progress should start to receive more prominence as the promise of the smart, learning machines increasingly begins to bear fruit.

During 2017 it was hard to escape predictions that artificial intelligence is about to change the world. In 2018, this is unlikely to change. However, an increased focus on repeatable and quantifiable results is likely to ground some of the "big picture" thinking in reality. Don't get me wrong - in 2018 AI and machine learning will still be making headlines, and there are likely to be more sensationalised claims about robots wanting to take our jobs or even destroy us. However, stories about real innovation and progress should start to receive more prominence as the promise of the smart, learning machines increasingly begins to bear fruit.

During 2017 it was hard to escape predictions that artificial intelligence is about to change the world. In 2018, this is unlikely to change. However, an increased focus on repeatable and quantifiable results is likely to ground some of the "big picture" thinking in reality. Don't get me wrong – in 2018 AI and machine learning will still be making headlines, and there are likely to be more sensationalized claims about robots wanting to take our jobs or even destroy us. However, stories about real innovation and progress should start to receive more prominence as the promise of the smart, learning machines increasingly begins to bear fruit.

During 2017 it was hard to escape predictions that artificial intelligence is about to change the world. In 2018, this is unlikely to change. However, an increased focus on repeatable and quantifiable results is likely to ground some of the "big picture" thinking in reality. Don't get me wrong - in 2018 AI and machine learning will still be making headlines, and there are likely to be more sensationalized claims about robots wanting to take our jobs or even destroy us. However, stories about real innovation and progress should start to receive more prominence as the promise of the smart, learning machines increasingly begins to bear fruit.

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ... Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... How smart is today's artificial intelligence?

Just as Echo and Alexa have invaded our homes, conversational interfaces will become increasingly common when it comes to interacting with technology in a business environment. According to one report, next year 20% of firms will look to add voice enabled interfaces to their existing point-and-click dashboards and systems. After all it's the way most of us communicate most naturally – we can generally structure any query in a matter of seconds. As computers have become more adept at understanding us, there's less need for us to spend time learning their complicated mathematical languages. Natural language generation and natural language processing algorithms are constantly learning to become better at understanding us, and talking to us in a way we understand.

During 2017 it was hard to escape predictions that artificial intelligence is about to change the world. In 2018, this is unlikely to change. However, an increased focus on repeatable and quantifiable results is likely to ground some of the "big picture" thinking in reality. Don't get me wrong - in 2018 AI and machine learning will still be making headlines, and there are likely to be more sensationalized claims about robots wanting to take our jobs or even destroy us. However, stories about real innovation and progress should start to receive more prominence as the promise of the smart, learning machines increasingly begins to bear fruit.