Take a deeper look at machine learning (ML), artificial intelligence (AI) and data science before heading to the conference with a selection of Gartner content, including Smarter With Gartner articles, webinars and Gartner Predicts. 

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“AI will automate everything and put people out of work.” “AI is a science fiction technology.” “Robots will take over the world.” The hype around AI has produced many myths, in mainstream media, in board meetings and across organizations. Some worry about an “almighty” AI that will take over the world, and some think that AI is nothing more than a buzzword. The truth is somewhere in the middle.

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More organizations are adopting AI. Fourteen percent of global CIOs have already deployed AI and 48% will deploy it in 2019 or by 2020, according to Gartner’s 2019 CIO Agenda survey.

“While adoption is increasing, some organizations are still questioning the business impact and benefits. Today, we witness three barriers to the adoption of AI,” says Brian Manusama, Senior Director Analyst, Gartner.

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Discussion topics: 

  • The proper function of data science, machine learning and AI in a data-driven organization
  • The early steps you should take to invest in data science and ML
  • How data science and machine learning fit in both your analytics and AI strategies

Data science, ML and AI have the potential to make a profound impact in a data-driven business, but only if IT leaders can navigate through the hype. In this complimentary AI webinar, Gartner expert Austin Kronz breaks down the differences between these concepts, and provides a high-level introduction of key trends, proven use cases and technologies that can help IT leaders effectively leverage these capabilities.

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Discussion topics:

  • How is AI expanding into the enterprise
  • What you must do now for your AI strategy
  • What must you include in your AI governance initiatives

IT and business leaders must work together to devise a solid AI strategy that will create new opportunities now and into the future. That requires a clear vision, flexibility and especially strong governance. Join this special complimentary video discussion webinar as a panel of Gartner experts helps you enable AI to take your organization to new heights.

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Discussion topics:

  • What is the role of governance and regulation in the age of AI?
  • Which technologies will best enable your data science and machine learning initiatives?
  • What is the role of citizen data scientists?

So many questions still surround AI, data science and ML. Yet, the questions are getting far less theoretical as more organizations look to take advantage of these technologies now. Organizations are asking more about how they can apply these technologies, how long it will take to gain the benefits, and how to train staff — or if they need to hire new staff. Join us for this complimentary video webinar as Gartner experts Austin Kronz and Peter Krensky address the most pressing questions asked directly by your peers.

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Gartner Predicts

  • Through 2023, computational resources used in AI will increase 5x from 2018, making AI the top category of workloads driving infrastructure decisions.
  • Through 2022, only 15% of use cases leveraging AI techniques (such as ML and DNNs) and involving edge and IoT environments will be successful.
  • Through 2022, over 75% of organizations will use DNNs for use cases that could be addressed using classical ML techniques.
  • By 2023, 70% of AI workloads will use application containers or be built using a serverless programming model necessitating a DevOps culture.
  • By 2023, 40% of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity with greater agility and scalability.

Want to dig deeper?

Gartner Data & Analytics Summit 2020 has a dedicated track:

AI, Data Science and Machine Learning: The Future Starts Now

Understand technology trends, what’s real, what’s hype, skills development and talent recruiting needed for successful deployment and business impact.