Enterprise AI: from Innovation to Commercialization
AI World Conference and Expo is focused on the state of the practice of artificial intelligence in the enterprise. The 3-day conference and exposition are designed for business and technology executives who want to learn about innovative implementations of AI in the enterprise through case studies and peer networking.
Enterprise organizations face conflicting priorities. Where do they turn to cut through the hype and determine how to prioritize AI technologies for their business? AI World is organized around this singular goal, enabling business leaders to:
AI World Executive Summit – Led by IDC
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 and Intelligent Assistant development. Also, hear from leading digital assistant and Bot developers.
Separating hype from reality: Implementing Enterprise AI
Practitioners: Lessons learned and best practices from both solution providers and enterprise AI leaders deliver critical insight based on their experiences planning, deploying, and iterating with machine learning in the workplace.
First-Mover Industries: Perspective from within the trenches on AI technology opportunities for vertical markets from Energy, FinTech, Healthcare, Manufacturing, and more. Identify which industries have the early-mover advantage and what are the key indicators for AI market preparedness.
Visionaries: Investigate the future of enterprise AI with industry researchers, analysts, and business leaders. Prepare your organization for innovation and new business models.
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. Learn what works and what doesn’t.
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.
AI and Real-Time IoT – Led by OMG and the Internet Industrial Consortium
Analyzing 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 advanced IoT applications. The addition of intelligence and processing on small devices at the network edge also raises questions about IoT security. Attend sessions based on how AI is becing successfully integrated into real time IoT implementations in various industries.
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 enterprise and 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.
AI Adoption & Industry Vertical Markets
Enterprise organizations have a range of core business operations able to utilize AI technologies, however, this one-size-fits-all functionality can be a non-starter for some industries. Whether due to regulation, government oversight compliance, or unique requirements, these vertical markets may appear to be laggard adopters. Hear how these companies able to innovate using intelligent solutions within seemingly insurmountable restrictions.
Cognitive Aware Robotics
At the intersection of robotics and cognitive science, next generation robots are now being developed to interface with real world 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.
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.
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.
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.
New England has a strong, thriving AI community. Several meetup groups will host co-located events at AI World. In addition, attendees will have the opportunity to: