IBM Workshop on AI, IoT, Analytics, Blockchain

Event Registration Website: Click HERE.

November 10, 2017

Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses.”

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining. Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.”

The Internet of things (IoT) is the inter-networking of physical devices, vehicles (also referred to as "connected devices" and "smart devices"), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data. The IoT allows objects to be sensed or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. When IoT is augmented with sensors and actuators, the technology becomes an instance of the more general class of cyber-physical systems, which also encompasses technologies such as smart grids, virtual power plants, smart homes, intelligent transportation and smart cities. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will consist of about 30 billion objects by 2020.”

“A blockchain – originally block chain – is a distributed database that is used to maintain a continuously growing list of records, called blocks. Each block contains a timestamp and a link to a previous block. A blockchain is typically managed by a peer-to-peer network collectively adhering to a protocol for validating new blocks. By design, blockchains are inherently resistant to modification of the data. Once recorded, the data in any given block cannot be altered retroactively without the alteration of all subsequent blocks and a collusion of the network majority. Functionally, a blockchain can serve as "an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way. The ledger itself can also be programmed to trigger transactions automatically."

IBM Bluemix is a cloud platform as a service (PaaS) developed by IBM. It supports several programming languages and services as well as integrated DevOps to build, run, deploy and manage applications on the cloud. Bluemix is based on Cloud Foundry open technology and runs on SoftLayer infrastructure. Bluemix supports several programming languages including Java, Node.js, Go, PHP, Swift, Python, Ruby Sinatra, Ruby on Rails and can be extended to support other languages such as Scala through the use of buildpacks.”

“With Watson, you have the AI platform for business. Uncover insights, engage in new ways, make decisions with more confidence and do your best work with Watson, today. With Watson, you can build chatbots and virtual agents that answer your customers’ questions, responding to their needs quickly and efficiently.”


This event will start at 9:00 am Friday November 10th, 2017 in Room 110 at the University of Houston Energy Research Park (ERP), Building 4

Directions to UH ERP can be found here: "Directions to UH ERP"

8:30 – 9:00 a.m.
Breakfast and Registration

9:00 – 9:30 a.m.
Opening and Welcome
Dr. Gino Lim

9:30 – 10:45 a.m.
How a Digital Strategy has become a Competitive and Disruptive Technology for:

Dr. Jeff Daniels at Lockheed Martin
Corey Haygood, and Randy Schwartz at Bechtel Corporation

10:45 – 12:00 p.m.
Panel Discussion - Challenging Oneself Professionally in industry through research, education and collaboration
Dr. Gino Lim, Corey Haygood, Randall Schwartz, Dr. José A. Gutierrez, and Dr. Ben Amaba

12:00 – 12:30 p.m.
Preparation for Interactive Workshops with laptops on-line and obtaining ids and workspace

12:30 - 4:00 p.m.
Interactive Workshop: IBM and Watson
Gayathri Srinivasan, IBM Senior Certified IT Architect - IBM Watson Internet of Things Platform
Explore how IBM's Watson Analytics and IoT platform on IBM Bluemix helps you rapidly connect devices and infuse capabilities around device management, information management, real-time analytics, risk management and cognitive computing. Create and deploy your IoT application on the cloud using Node-RED. Work with simulated devices and sensors, create dashboards, perform real-time insights, and send data to dashDB and its integrated R Studio. Learn how to import the data into Watson Analytics for refinement, visualization and prediction without writing code. Explore how to enhance your application with Watson Cognitive APIs, Weather Insights, and social networks, such as Twitter, Slack, and Facebook. Learn how IBM Design Thinking can be used to solve the real problem and create the right user experience.

4:00 – 4:45 p.m.
The future and how we can grow our community on Artificial Intelligence, Cybersecurity, Blockchain, IOT, and Cloud Technology. – Audience participation and discussion on challenges being solved around the world. References and publications of recent projects transforming into a digital organization will be discussed.

4:45 – 5:00 p.m.

Event Registration Website: Click HERE.

Other useful links:

Supply Chain Management and Industrial Engineering