There are a flood of stories coming out on nearly a daily basis about how enterprises are using AI/ML to transform their businesses. However, for every success story out there, there is at least an equal number who have struggled to deliver on the promises this revolutionary technology offers. This talk will highlight some "reflections from the trenches" regarding executing AI/ML in the enterprise and offer some suggestions to organizations (large and small) to better set themselves up for success.
IoT and AI intrinsically rely on other people’s data. What steps are being taken to remain compliant both now and in the future? Exploring the options.
The stumbling block of Privacy – what mechanisms can be brought in to ensure that the stream of big data continues to be able to be used
Introduction to the eSIM’s ‘power of three’ proposition: flexible control, authenticated connectivity, and dynamic security.
Current thinking on IoT security concerns and requirements: what industry influencers / governments are saying and doing.
eSIM momentum: real-life references / how eSIM deployments are reshaping industries.
How the eSIM addresses technical deployment and security challenges, with a focus on key deployments, including connected cars, smart metering and wearables.
How insurers are optimising relationships and operations with AI and Blockchain security
Enabling insurers to mine their existing data, and also extrapolate from publicly available sources, such as social media to better understand and respond to the needs of their customers
Addressing existing fragmentation and incompatibility in the IoT standards space
Devising open source operating systems, IP stacks, security and device management solutions to make it easier for IoT startups to create new products with solid IP deployments.
Tracking commercial aircraft in real-time using a Raspberry Pi, Kafka and Vertica
The perfect IoT use case, with thousands of aircraft (“devices”) providing tens of millions of messages per day, all of which can be captured, decoded, loaded and analysed in seconds. Mark Whalley, Vertica Systems Engineer, summarises the whole end-to-end project. Including info on introducing ADS-B, building the Raspberry Pi, digital broadcast receiver and decode/ETL software, integration with Apache Kafka, the Vertica Kafka Scheduler, ingestion into Vertica, performing simple visualisations, data preparation and Machine Learning. Making use of the Series Flight Tracking project, Silviu Tofan from Dataiku will also look at a practical use case of flight data using anomaly detection.
PLEASE NOTE THIS WILL TAKE PLACE IN THE SECURITY THEATRE.
17:45 Doors open. Food, networking and drinks 18:15 Introduction 18:20 Lighting Talk: Data Science with Docker by Laura Mitchell, Badoo 18:25 Are we alone? How NASA Frontier Development Lab scientists use AI to find evidence of life by Frank Soboczenski, NASA 18:50 Practical Reinforcement Learning with OpenAI by Leonardo De Marchi, Badoo 19:05 Ultra portable Deep Learning with Tensorflow.js by Zack Akil, Google
PLEASE NOTE THIS WILL TAKE PLACE IN THE CONNECTED CITIES THEATRE.
Ethics & the Unconscious Bias of AI Led by Leanne Page A panel discussion exploring: 1. How can we better educate ourselves about the risks of unconscious bias in humans and in our technology? 2. How can we better embed the art of responsibility within humanity, to ensure that we make decisions to protect humans and to enhance our lives? 3. What transformation is required to ensure that humans and AI can work together cohesively and in harmony? 4. How do we harness empathy and common sense to promote and support humans to be responsible agents of technology?
PLEASE NOTE THIS WILL TAKE PLACE IN THE AI THEATRE.
The world moved from a 3 billion acquisition of Nest to many analysts showing an almost flat line for smarthome while the chaos in wireless standards is already lasting since 15 years. On the other hand, products like Hive are successful and eQ-3 has shipped >27 million wireless devices. What ist he secret to success – or doom?
Where AI, 5G, Blockchain and IoT combine: Identifying the most exciting new developments in the IoT sphere this year
Predictions for future growth and new technologies arriving on the scene – how will these affect the market?
The effects of GDPR on the IoT market – how will this affect how we treat consumer privacy and handle customer data? Will this change the way in which IoT operates?
What can Blockchain and AI do for the financial industry?
Moving from machine-learning solutions with a centralised distribution (as a part of cloud-based APIs, and software packages deployed on remote servers of AI providers) to decentralised AI which runs and trains on local devices or makes decisions in decentralised networks such as Blockchain.
What are the advantages of decentralised intelligence and what canl it do for an IoT-enabled society?
Assessing the successes of LPWAN technology to date
Market variation in the form of SigFox, LoRa, LTE-M and NB-IoT – how has this affected LPWAN’s development and which will become the most dominant standard?
5G is set to arrive in 2020 – will LPWAN merge into 5G or will a completely new technology be needed to supersede what we have now?
How can everyone work together for the great good? Will it happen naturally or must it all be regulated to achieve best results
Achieving enhanced interoperability and efficiency to ensure sustained use of Smart Home products and technologies in the future
Planning for the ever-increasing demands of Connected Home services on the Home Network
Expectations for the development of the IoT industry with so many new smart devices and emerging technologies coming to market – what will be the most exciting trends in the years ahead?
Achieving enhanced interoperability and efficiency to ensure sustained use of Smart Home products and technologies in the future
Planning for the ever-increasing demands of Connected Home services on the Home Network