Conference Agenda

Days


Tracks

Tuesday, July 19, 2016
9:00-9:25am
Tuesday - 7/19/16
AI: How Far Have We Come and Where Are We Headed?
APISM-01
How far have we really come in Artificial Intelligence and what will it take to get us beyond our current horizons in creating better smart machines? What are the driving forces behind AI innovation and where can we expect it to stumble? Is there enough current demand to substantiate investment in AI to make it a viable market?
  Smart Machines Track
9:30-9:55am
Tuesday - 7/19/16
Training Intelligent Machines
APISM-02
Ayla Networks
Training and teaching machines and having them operate with that knowledge for ongoing functionality is a new concept in intelligent machines. The training process requires: 1. Collection of data over time 2. Analysis of the data 3. Creation of analytics 4. Changing the product so it uses the analytics results Step 3 now resides in the machine, rather than the cloud. But heavier analytics ongoing are required, and are best situated in the cloud. Connectivity in the cloud also allows the machine to be updated with newer algorithms.
  Smart Machines Track
10:00-10:25am
Tuesday - 7/19/16
Can We Trust Machines?
APISM-03
Machine learning promises to be the next generation of intelligent services and applications, with the power to disrupt business more than what we have seen to date. Much of what will be built using smart machines and machine learning will require an inherent trust in technology. In fact, much of what is already part of today’s business process – fraud detection, sentiment analysis and prediction, recommendation engines, etc. – are already leveraging machine intelligence. Can we trust these machines and their thought processes, not only today, but as they become more complex and are integrated into more intricate operations? How can we ensure the input data creates a reliable output stream and what happens if that logic falters?
  Smart Machines Track
10:30-10:55am
Tuesday - 7/19/16
Smart Machines Still Need Smart People
APISM-04
Despite the great strides in artificial intelligence – especially compared to its prospects a decade ago – there is still much human intelligence to be injected in the machine learning systems to truly be able to call it intelligence. What have we learned to date and what are pain points, and how can human cognition be integrated into AI to enhance its capabilities and potentially speed up development.
  Smart Machines Track
1:00-1:25pm
Tuesday - 7/19/16
Making Speech Technology Good Enough for Smart Machines
APISM-06
Much of today’s smart technology is based on speech technology. It would be fair to say, however, that not everyone has had a positive speech recognition experience and many would even argue that natural language processing is too far from being accurate and should not be trusted for any important tasks. Is that true? What is the state of speech tech and how are advances helping drive smart machines and AI?
  Smart Machines Track
1:30-1:55pm
Tuesday - 7/19/16
What's Driving the Chatbot Craze?
APISM-05
While chatbots have existed for some time, it’s only recently that the world seems to have gone bot crazy. In fact, the dream of easily reusable components is an old one in programming, dating back to the emergence of object-oriented programming in the 1960s half a century ago. The truth is, it never really worked. Not in a way that transformed programming. Today, we find the required components have arrived in full force: they are called services. Services such as Twilio for communications, Stripe or Dwolla for payments, Sendgrid for emails and so on, which let programmers do amazing things with just a few lines of code and enable them to build and launch something meaningful in the duration of a hackathon. So, why this sudden interest in and adoption of chatbots and what has changed to make them work now, how are bots being used to help businesses and users alike, and what else might we see bots accomplish as their components and machine learning continue to evolve? That act of assembling the components into a new whole though, still happens largely through exactly the kind of programming we have always done. But here too change is on the way and people is creating new experiences assembling services and APIs. What are the minimum requirements for a modern API to fit into this landscape? What are the tools out there that are enabling this code-glue approach? We are not quite there, but the future in which most people will be empowered to build software is arriving and APIs are the key enablers for this.
  Smart Machines Track
2:00-2:55pm
Tuesday - 7/19/16
Cognitive APIs - The Building Blocks for Smarter Apps
APISM-07
IBM
Deep learning, NLP, computer vision, unstructured data... Collectively, these technologies are a part of the growing trend called Cognitive Computing. Like building with blocks, assembling a Web application requires patience, the proper tools, and a balanced configuration. Advancements in this new cognitive computing era are helping developers to build successful apps with these blocks, in nearly every vertical. Discover how you too, can leverage them to build smarter apps.
  Smart Machines Track
Wednesday, July 20, 2016
8:30-8:55am
Wednesday - 7/20/16
Closing the Gap Between AI and Real-World Experiences
APISM-08
  Smart Machines Track
9:00-9:25am
Wednesday - 7/20/16
Enabling Smart Machines
APISM-13
Multi-Tech Systems
Connected devices are growing at an astronomical rate: It is estimated that 14 Billion devices are connected today and according to Cisco and Ericsson, there will be 50 billion connected devices by 2020. To prepare for the rise of the smart machine, companies in all sectors must build a connected device strategy that makes sense—from both a financial and logistical standpoint—if they want to capitalize on the enormous opportunity that lies ahead. This session discusses real life case scenarios to deliver insight on how various vertical markets are handling this challenge. Special attention will be paid to the following points: What different solutions are available for developers to rapidly deploy simple end-to-end solutions, focusing on industrial and commercial businesses and importance of remaining vendor-neutral? Why is the commercial market is ripe to receive new business solutions that leverage connected devices to enable machine learning, and the risk factors associated with selecting the wrong solutions? What new technologies that are being implemented today and how is the market evolving?
  Smart Machines Track
9:30-9:55am
Wednesday - 7/20/16
Connecting to the Future
APISM-11
Decentralized and distributed network systems are coming of age, and they have the potential to significantly impact how organizations are built, and how they interact with each other. Blockchain technology has introduced a fundamental paradigm shift, and companies will need to reevaluate their value propositions to stay relevant in a future that promises to be less centralized and more customer-centric. As that happens, how will blockchains and smart machines, two potentially dominant - and certainly disruptive - technology trends - intersect?
  Smart Machines Track
10:00-10:25am
Wednesday - 7/20/16
Deep Learning: What is it and Why are We Interested?
APISM-10
Deep learning is a subset of machine learning research, focused on achieving real and reliable artificial intelligence. This session considers the extension of deep learning beyond machine learning and how it will be used to create AI and how, those innovations will impact business.
  Smart Machines Track