Day 1 - 13 November 2019
BH IoT Group
09:40AM - Day 1
Data Analytics for AI & IoT: Chair’s Welcome and Opening Remarks
Hear from a leading AI & IoT analyst about the latest trends and market insights for data analytics developers and service providers.
SVP of Products
10:00AM - Day 1
Leverage Data Lineage to Maximize the Benefits of AI and Big Data
Attend this session to understand how data lineage is helping companies to:
- Decipher complex algorithms in systems that supply data to the “data lake”
- Increase trust in data for analysts and data citizens/scientists
- Manage the impact of application changes on downstream analytic systems
- Simplify the consumption and understanding of data flow throughout the enterprise
Learn through various use cases how companies are taking advantage of lineage to realize these benefits.
VP of Data Cloud Division
10:30AM - Day 1
From Customer Insights to Customer Action: How to Capture Intent Through AI, ML & NLP
Businesses have access to more 1st and 3rd-party data than ever before, but all that data brings newfound complexities. It’s critical for marketers to distill valuable insights from consumer signals and identify how to use those insights to drive ideal outcomes.
In this session, we will explore ways to proactively detect customer intent through AI, ML and NLP, and convert that intent into insights for optimal activation.
11:40AM - Day 1
Using Process Mining to drive Digital Transformation – the Siemens Case.
Process Mining is an innovative technology which provides transparency on complex business processes by applying large scale data analytics. The session will present the technology of Process Mining and real-world use cases from Siemens, where Process Mining has become a key lever for driving digital transformation. Use cases will include Value Chain Innovations in the field of Purchase2Pay, Manufacturing, Logistics and Order2Cash. The session will demonstrate how Digital Transformation is driven by using Digital Twins of the Organisation, which allow insights to action from top management to operational teams. As an outlook, it will be demonstrated how Process Mining supports RPA and takes advantage of Predictive Analytics and AI.
Data Analytics for AI & IoT
Corporate Vice President
12:50PM - Day 1
03:30PM - Day 2
Process Automation from IoT Data
As the marketplace of IoT devices and platforms grow, it is key to use not only the right platform for your business, but also one that allows true process integration and automation for optimization. Samuel Chang, corporate vice president, LG Electronics, will walk attendees through the myriad of ways the company is leading the charge in this field.
LG is working on both cloud-based and on-premise AI to improve its products and features when it comes to improving reliability as well as focusing on pro-active technology to detect, notify, and service our appliances and products to end-consumers. For example, through LG ThinQ, the company’s brand for products and services incorporating advanced AI technologies, the company pursues its three pillars – “Evolve, Connect, Open.” These tenets outline LG’s easy to use, proactive products and services to enjoy a connected experience through a personalized and efficient AI experience for users with diverse needs and tech preferences in their homes.
Based on its ‘open’ approach, LG is progressing toward incorporating IoT technology throughout the entire journey, including the product design/concept, launch of new helpful tools and proactive updates using OTA. LG is working with world class cloud partners from Amazon (AWS), Google, and Microsoft and in-house development to develop, customize, and operate our IoT platforms.
Through this interactive and informational session, interested AI & Big Data Expo attendees will learn how partnering with the right platform for your business will enhance process integration and automation in the long run.
Dataforest | Single Venue for all your AI related demands.
MIT Global Startup Labs winner startup – *Dataforest* is an emerging marketplace for all possible AI&Big Data related demands. We are aiming to contribute to the rapid growth of AI technology with our unique platform. We provide the users with the ability to clean and label data, request custom datasets, train you models, socialize within the community, and much more. On the other end, our users can provide labeled data to those dataset requests and models while in return making real profit. We believe that *Dataforest* will be the platform to unite the AI community for a common good.
Senior Data Engineer
02:30PM - Day 1
Designing a self-service platform to support data science and analytics.
At Stitch Fix, we pride ourselves on minimizing the hand-off between engineers and data scientists. Our models and data products are more accurate and yield better results if our data scientists own the data, ETL, and derived products. Moreover, this strategy empowers data scientists to own the story of their products.
To support these “full-stack” data scientists we must provide the tooling and platforms such that they can focus on the science and data instead of the technical details of the underlying systems. This talk will outline the strategies that we have employed at Stitch Fix to enable self-service data science and analytics. We will also look at some of the open-source tools that we’ve used, and some we’ve built ourselves, to solve this complicated problem.
03:00PM - Day 1
Using AI/ML to predict Equipment Failures
- Power transformers, oil wells, and semiconductor manufacturing use IoT based sensors to collect critical process parameters and quality attributes (CPP and CQAs). Such process parameters and quality attributes can be leading indicators for detecting failure events.
- CloudKarya helps customers build and deploy AI/ML solutions to monitor real-time CPPs and CQAs to perform predictive maintenance to prevent adversarial events such as equipment failure, oil well cessation.
- A Case study to show how a CloudKarya customer is using our models
12:30PM - Day 2
03:30PM - Day 1
Enabling Contextual Intelligence
• What is Contextual Intelligence
• Enterprise Unstructured and Structured Data
• Driving Insights and Decisions with Contextual Intelligence
Rajesh V. Surya
Applied AI and Data Solutions Head, US West
03:40PM - Day 1
How do you scale AI in the Enterprise?
Up until a few years back, almost all software solutions were built with a rules-based programming approach. Data-driven programming using AI/ML techniques were rare. Today, advances in ML algorithms, ever-increasing data sets, and hyper-scale cloud computing have made AI “superpowers” accessible to a wider range of businesses and budgets. Tomorrow, AI will be the mainstay for solving a whole class of business problems, for which traditional rules-based programming will be ineffective.
- How do we cope with this rapid disruption and stay ahead of the game?
- How do we demystify and democratize AI?
- How do we achieve an AI-led transformation across the enterprise?
Join me in this session to hear about Quantiphi’s experiences and best practices to achieve scale in Enterprise AI, answering the above questions.
Announcement of the winners of the Data Science Foundation Awards
The AI & Big Data Expo are proud sponsors of the Data Science Foundation Awards. The awards recognise excellence and innovation in data science, artificial intelligence and advanced analytics. We look forward to hearing who the winners will be.