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.
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