AI World Executive Summit
Is your business ready for harnessing AI and intelligent technologies? How will AI impact your customers, partners, and employees? These big questions and many more are on the minds of business leaders, CEOs, CMOs, CDOs, and CIOs. Held on the morning of the first day of the event, the AI World Executive Summit, led by IDC, provides business executives with a strategic look at the state of the practice in enterprise AI across multiple vertical industries.
Seminar: Enterprise Machine Learning & Deep Learning
Learn about your AI options, who are the players, and what are the key technologies. Hear from world-class machine learning experts at Fortune 500 businesses that are developing innovative enterprise applications today.
Seminar: AI in Personalized Medicine and Digital Health
AI hopes to move medical treatment away from general, one-size-fits-all options to more personalized solutions. Learn more about the incredible amounts of information generated through precision medicine, and the critical capabilities needed to analyze, store, normalize and trace that data.
Workshop: Implementing Enterprise AI
This unique half day workshop was developed to address how enterprises can learn from innovators proven processes and methodologies to ensure a successful enterprise AI deployment strategy for a wide array of scalable applications.
Workshop: Intelligent Assistants & Bots
Learn the reality of developing natural-language digital assistants. Get informed about the resources available to help you build the right application. Identify insights into the trade-offs in varying approaches to Bot development. Also, hear from leading digital assistant and Bot developers.
Cognitive computing systems redefine the nature of the relationship between people and their increasingly pervasive digital environment. Who will build these new AI-on-board applications? And with the proliferation of AI technologies in the workplace, foresight must be used to understand its implications for productivity, jobs, skills and employee development, but also issues related to ethics, safety and responsibility.
Enterprise AI Case Studies
Artificial intelligence applications impact all business functions from HR and finance to R&D and sales. Real enterprise practitioners speak about methodologies and approaches to integrating machine learning, deep learning and intelligent technologies into their line of business functions. Industry thought leadership is conveyed through use cases and innovative business strategies. What works and what doesn’t?
Keywords: Industry requirements, business strategy, methodology, approach, use case, opportunity, line of business, case study
Going from Big Data to AI
With data in-hand, machine learning aids in everything from cleaning datasets to managing multiple data sources to synthesizing data. With the help of machine learning, data can now be monetized. This track identifies key business strategies for data monetization and steps to be taken to maximize the impact of AI technology interaction with Big Data.
Keywords: Big data, monetization, business strategy, cleaning, granularity, KPI, structure, frequency, prediction
AI and Real-Time IoT
Reviewing data from thousands or millions of IoT sensors in real-time is beyond the capability of humans. Smart buildings, energy markets, and factories are all examples where AI is required in the deployment and operation of IoT applications. The addition of intelligence and processing on small devices at the network edge also raises questions about IoT security.
Keywords: IoT, sensor, deep learning, smart building, energy, industrial, factory, security
Emerging Technologies & the Future of AI
There is no shortage of opinions on the potential for AI technologies in business. However, the current round of solutions is often viewed as expensive, proprietary, and complex to deploy and manage. When will AI solutions scale industry-wide? Is it possible to measure ROI for automation? How does AI rank against other corporate initiatives?
The state of AI technology and its future is spoken here. From the development of neuromorphic chipsets to democratizing deep learning toolsets and from the next wave of machine vision, emotion, gestures, NLG, new algorithms, HPC and quantum computing will all be shared by the industry’s best and brightest.
Keywords: Neuromorphic, machine vision, emotion, HPC, gestures, NLG, chipsets
Cognitive Aware Robotics
At the intersection of robotics and cognitive science, cognitive robotics is about doing robotics that deals with cognitive phenomena such as perception, attention, anticipation, planning, memory, learning, and reasoning. Hear how AI is influencing this emerging category and driving innovation in the enterprise.
Keywords: Robotics, cognitive, perception, planning, memory, reasoning
AI in Pharma
Investment and the application of AI in the pharmaceutical industry is rapidly gaining momentum. Based on feedback from CII’s flagship Bio-IT World we bring together CEOs, CIOs, CTOs and Global AI, IT and Informatics Experts from leading pharmaceutical and technology companies to give strategic and visionary talks based on use cases throughout the drug development pipeline.
Keywords: Drug discovery, target identification/screening, translation, clinical, regulatory
AI in Healthcare
Artificial intelligence in the healthcare industry is predicted to save $150 billion annually for the US. As such, AI is being rapidly deployed in many areas of the healthcare landscape. This event will primarily focus on the Providers, attracting CIOs, CTOs, IT and Informatics Experts along with senior Physicians and Clinicians from the leading US hospitals who will share their experiences of using AI in the clinical care and hospital operations environment.
Keywords: Payers, clinical care, hospital operations, patient experience, investor pipeline
Companies and Organizations Confirmed to Present Include:
Blue Cross Blue Shield Association
Boston Consulting Group (BCG)
Brigham and Women’s Hospital
Children’s Hospital LA
Dun & Bradstreet
Harvard Medical School
Industrial Internet Consortium
Massachusetts General Hospital