Tuesday, August 17, 2021
How does the road towards web 3.0 look like? During this session I’ll elaborate on the role of crypto in building a better internet, what the opportunities and challenges are for builders and investors alike and how today’s emerging web 3.0 landscape looks like.
Capital Intensive Deeptech technologies like Quantum technologies are considered to be accessible only for startups from the US, UK, Germany or China. So, what makes Finland punch above its weight in this heavy-weight category?
In this session, IQM CEO - Jan Goetz will share his personal journey from research to entrepreneurship, about quantum technologies, and IQM's approach to build the quantum future.
The events of the last 12-18 months have accelerated the adoption and deployment of blockchain and related technologies by organizations that see new urgency in digitizing key processes and transactions. This is bringing a diverse mix of companies into the enterprise blockchain space looking to manage everything from strained supply chains to clinical trial data and deliver a range of solutions supporting new financial infrastructures, payment models, logistics systems and even vaccine/travel credentials.
As the general manager for Blockchain, Healthcare and Identity at the Linux Foundation, Brian Behlendorf is front and center with technology and end user organizations that are leveraging blockchain across a number of industries. In this session, he will cover the market shift from proving the value of blockchain to meeting the challenges of deploying production networks, drawing from current deployments of Hyperledger technologies. He will also discuss the technology and business drivers shaping the next chapter for enterprise blockchain.
Keys topics will include
- Core requirements for production networks that scale, including transparency, interoperability, standards and componentization
- New technologies that are key to cross chain and off chain operations
- Examples of the growing range of new applications, from digital identity solutions to CBDCs, that are being built atop Hyperledger’s distributed ledger platforms
70 million individuals worldwide have been told that after a stroke, a spinal cord injury, or other neurological injury or disease, that they'll never use their arm and hand again, so just get used to it. Myomo's powered arm braces employ brain-computer interfaces to restore movement and function of these affected limbs, thus improving users' quality of life and reducing healthcare costs.
Wednesday, August 18, 2021
When banks and lenders speak about alternative data they usually limit their range of options to a limited number of sources including open banking data, Telco data, or psychometric data.
We will talk about how financial institutions can improve their performance by combining different sources of data (behavioral and transactional) with credit bureau data (wherever available) via embedded technologies.
We will see how the combination of traditional, transactional, and behavioral data helps solve for major pain points including checking affordability and assessing the probability to default.
We will also talk about how to implement a framework of alternative data with which financial institutions can get a holistic view of their applicants without adding any friction to the process.
Lastly, we will explore how to achieve a higher predictive power of credit risk models which, in turns, allow for higher approval rates, lower risk rates, happier and more loyal customers.
Based on Gartner's research, 85% of AI projects fail. In this talk, we show the most typical mistakes made by the managers, developers, and data scientists that might make the product fail. We base on ten case studies of products that failed and explain the reasons for each fail. On the other hand, we show how to avoid such mistakes by introducing a few lifecycle changes that make an AI product more probable to succeed.
The healthcare industry is overflowing in data that is heavily fragmented across the healthcare ecosystem, which impacts the efficient delivery of healthcare services and research for all stakeholders - patients, providers, pharmaceuticals, insurance.
Blockchain has the potential to solve these inefficiencies as it enables solutions with increased security, trust, and traceability required to manage highly sensitive data. The promise of blockchain to transform healthcare has led to growing global interest with some estimates projecting revenue in the global healthcare blockchain market to be $1.4 Billion USD by the end of 2024
AI is breaking through in more and more domains. It is better than us at playing go and even recognizing faces. One of the last strongholds that seems impossible to crack is human language. In this talk I will go deeper into the most recent breakthroughs in AI. Why did they occur and how were they achieved? Following this reasoning I will show why language is the next frontier.
You have a lot of customer feedback data that is all over the place. How are you going to get it all into one centralized database?
Wonderflow, founded in 2014, is a unified VoC analytics platform designed to help ease all of your feedback-analysis headaches. It analyzes all unstructured consumer feedback in a single place using AI while presenting results in the simplest way.
In this talk, you will learn the basics of how NLP and predictive technologies are used to extract value from lots and lots of feedback data. You will see how simple yet effective our Wonderboard user interface can be and the ease with which even complex problems can be tackled.
There is no reason to allow a ton of customer feedback to sit there uselessly or a data mess to ruin your day. After attending this session, you'll have the necessary VoC analytics knowledge to make winning decisions based on your customers' feedback.
Single cloud is no longer enough, it is time for Multi-cloud! In the session, the latest trend and technologies related to Multi-cloud will be presented. However technology is not enough, the real business case studies and their benefits will be presented. Finally, the future research directions will be briefly described. The session is based on the commercial and research experience for over 5 years period.
Carbon and silicon while they have similarities are not the same thing. Understanding the impact of training datasets on AI and machine learning is increasingly a political as well as a technical issue. Issues of epistemic justice and wider ethical issues about the adoption of AI require us, to quote Lincoln, to "think anew, act anew". This presentation will look at both the theoretical framing of the issues and the practical implications.
Did you know that the way you type is unique?
Join this session to find out how typing biometrics evolved, its current use-cases in CyberSecurity, and get a glimpse into its future applications for Personal Productivity and beyond.
AMP Robotics, a pioneer in AI, robotics, and infrastructure for the waste and recycling industry, builds and deploys robots in recycling centers at scale to enable a world without waste. Innovative technologies are fueling the modernization of recycling; AI-guided robotics address many of the challenges facing the industry, and the ability to transform recoverable material into data opens up vast possibilities to continue to improve the economics and efficiency of recycling. Learn more about these technologies and the road ahead for next-generation recycling infrastructure.
Should you always run your cluster in multiple availability zones? How can a transition rule on S3 double your storage costs? I want to monitor and understand my data transfer costs, where should I start? Following so-called “best practices” works only when you fully understand the implications, costs included. We will discuss a few cloud anti-patterns, making your bill smaller and your deployment better. And possibly reducing your cloud carbon footprint too.
The cloud is a fortress. Public cloud infrastructure is owned by a handful of companies with hardly any oversight. They get to decide who to welcome, who to block and they can slow transmissions. Not that they will, but they can. Once organizations select a cloud provider, they essentially have no choice but to trust a monopoly that could also become a competitor. But it does not need to be. Thanks to Kubernetes, Cloud Neutrality is now only possible, it is easy.
In a few minutes, we will deploy a cloud neutral Kubernetes cluster that spans across any number of cloud providers and will show how your workloads are free to roam between clouds, automatically switching for cost optimization, scale, performance or simply for resilience to a cloud failure.
Data Science and Machine learning use cases are multi-faceted, encompassing multiple stages till adoption and productionization. Each stage comes with its own challenges and has equal importance in the overall adoption of data science use cases for business. A step-wise and agile approach to tackling data science use cases is advantageous across industries like financial services, healthcare, retail etc. The nature of use cases can be peculiar to the industry, however, a data science methodology which starts from design thinking workshops to data engineering, machine learning model building and monitoring, along with business buy-in from stakeholders is the high level state of operation. Following a structured and agile approach to build your data science use cases can help you move more of your machine learning models from silos and workbenches into production.
Learn more about the end to end journey of a data science use case to see how you can get the most out of your next data science project and drive value for your business.
$3T of Food, Pharma, and Data are stored across the global supply chain, growing at 8% CAGR, but as recently as the 1990s, the cold chain still relied on styrofoam containers for temperature control in major products. And even today, 90% of refrigeration is “dumb” and provides no real-time monitoring or data-driven optimization. This leads to massive product waste and quality issues. How can we successfully get our products from point A to point B? What we need are smart cold chains that leverage data-driven technology to monitor products in real time to ensure quality. We are seeing a lot of novel solutions emerging around IoT sensors, tracking systems and AI technology that are adding value to the cold chain, but these technologies are still in their infancy. In this session, Manik will take us on a journey of how the cold chain may look in 2040 with these technologies. For example: AI enables fulfillment at the point of sale, Automated cold chain technology in central warehouses, Cloud integrates cold chain technologies and data for different stakeholders for full visibility and Continuing evolution of efficient transportation.
Many businesses are still finding ways to recover from the pandemic. While vaccine rates have recently increased, they vary dramatically across countries which will extend the impact and slow the global recovery of the pandemic.
Elizabeth Grossenbacher, the host of the popular "Emerging Stronger with IoT" webinar series from Twilio IoT, provides an array of cellular IoT solutions (indoor air quality control, proximity awareness, contact tracing, etc.) that can be deployed simply and quickly to enable smart safety and health practices while protecting employee privacy.
Enterprise blockchain projects more than doubled from 2019 to 2020, and industry analysts expect use cases to keep growing at the same pace year after year. Despite blockchain technology moving beyond hype, the technology still has a ways to go before mass adoption and building these products is easier said than done. With Blockchain.com valuing at $5.2B and the number of wallet users continuing to rapidly grow, Lewis will discuss how to build high-performing blockchain applications aligned with company growth—from the challenges companies face when building products on top of blockchain and how to overcome them, to best practices to achieve and surpass user milestones.
In this talk, I provide some insights about the growth of software testing. Starting from the early times of software testing, finally we discuss what we can face in the future. Key take-away’s are to be ready for the next generation testing activities (AI-supported testing and others).
We all observe that software testing continues to grow, proving that it is a living organism. Software testing processes are started to be adapted into Software Development Life Cycle (SDLC) in waterfall approaches. At the end of the development activities, verification and validation are performed to check the product before shipment to customers. What was the problem with Waterfall methodology? Testing activities were scheduled at the end of timeline and testers were out of time since previous activities are shifted.
Then, in agile methodologies, we see testing activities in all phases of the Software Development Life Cycle (SDLC). It starts from the first sprint. In this point, challenges are bigger since it is a very dynamic environment with lots of changes in a short duration.
To cope with complex scope to be verified in a limited time, automated testing started to appear in our life. Nowadays we meet lots of “Continuous X” terms, such as Continuous Integration, Deployment and Testing. Can we go home and get some rest when we automate all cases? Of course not. We have to continue to track test results, maintain flaky results and keep quality in high standard. Still we have many manual tasks on healing, maintenance and analysis.
Nowadays, researches are looking for adaptation of Machine Learning algorithms and other hot topics to testing processes to reduce the manual effort and improve quality. To sum up, improvement of software testing never ends, but sometimes the growth confuses people. What is the deal of Scrum? Why are people crazy about continuous integration and continuous delivery (CI/CD)? What is the difference between Agile and Devops? We will go over lots of this kind of questions.
Objective of the talk is: To provide some insights about the growth of software testing. Starting from the early times of software testing, we will try to overview the big picture and finally we will discuss what we can face in the future.
* Growth of software Testing
+ Replacement of manual activities to Automation
+ Transition to Agile Methodologies
+ Adaptation of Devops
+ Machine Learning in Software Testing
* Wrap-Up & Questions
Take-aways: Key take-away’s will be awareness on the software testing lifecycle and be ready for the next generation activities (AI-supported testing and others).
Once upon a time, devices like Nest or connected coffee makers were all anyone talked about when mentioning IoT. But these use cases, while seemingly innovative at the time, were more about creating shortcuts over Solving Problems, and those are inherently limited the number of use cases. As we enter the second phase of IoT, we’re solving problems behind the scenes and building hidden infrastructure that’s silently connecting the world
Thursday, August 19, 2021
Quantum computing is projected to create tectonic changes in major industries. To harness the power of quantum, major companies are building quantum teams to develop game-changing quantum algorithms. However, developing quantum algorithms development is nearly an impossible task, as the quantum software stack is still in its infancy. The session will discuss the key barriers to fulfilling the promise of quantum computing as well as promising directions to overcome these barriers.
Product Manager, this is a title that is very hard to explain and most of the time comes with big responsibilities but yet it is easy to overlook. Moreover, in the Application Modernization journey that focuses on modernizing your legacy application.
We are not delivering code or creating a prototype and definitely our job description is NOT attending meetings all day. We believe there are skills and mindset as Product Manager to accelerate the team to be successful in building modern applications. In this talk, I will share why we need product management skills to increase the success in your Application Modernization journey.
Since the emergence of Kubernetes, we hoped that developers will adopt it. That did not happen, and it will likely never happen. Developers do not need Kubernetes. They need to write code, and they need an easy way to build, test, and deploy their applications. It is unrealistic to expect developers to spend years learning Kubernetes.
On the other hand, operators and sysadmins need Kubernetes. It gives them all they need to run systems at scale. Nevertheless, operators also need to empower developers to deploy their own applications. They need to enable developers by providing services rather than doing actual deployments.
So, we have conflicting needs. Kubernetes is necessary to some and a burden to others. Can we satisfy all? Can we have a system that is based on Kubernetes yet easy to operate? Can we make Kubernetes disappear and become an implementation detail running in the background?
Let's discuss where Kubernetes is going and how it might look like in the future.
“tket” is an architecture-agnostic quantum software stack and ‘best in class’ compiler. tket translates machine independent algorithms into executable circuits, optimising for physical qubit layout whilst reducing the number of required operations. tket's state-of-the-art qubit scheduling and routing protocol ensures optimal results even in the Noisy Intermediate-Scale Quantum (NISQ) era. This enables our partners, collaborators and clients to effortlessly work across multiple platforms and tackle some of the most intriguing and important problems in chemistry, material science, finance and optimization.
It might already be too late.
Encrypted data needs to remain secure for 10, or even up to 75 years in some cases. If stolen today, there is a likely chance quantum computers will have enough power to decrypt that data while is still very valuable.
Quantum computers create significant security and global dominance risks. State-sponsored programs will use quantum computers for attacks on encryption. These will be optimized to hack data in transit, in use, and at rest.
During this session, we will help enterprise and government leaders understand this looming threat. We will present solutions to make your organization quantum-safe by securing data, ensuring your digital assets remain safe well into the future.
The process of hiring has always been simple: candidates apply, they are interviewed, sometimes given a task or test to complete, then they are hired. But what if the future of hiring was still simple, but used complex AI to find the perfect candidate? Vivek Ravisankar says AI in hiring is now becoming essential, but that’s not all. In order to scale your teams successfully, companies need to start utilizing new hiring tools, but they also must be using those tools correctly. Right now, we need to rethink AI’s current and future role in hiring, so Vivek will dive deeper into the benefits and challenges of using AI while recruiting and how AI will play an important role in sourcing and hiring as we move forward in an increasingly digital world where face-to-face options aren’t readily available anymore
Now that some of the hype has worn off, business leaders generally recognize that there is immense potential for Blockchain and distributed ledger technology to digitally transform business. But those of us tasked with enabling it, know that there is a big difference between the hype of running a proof-of-concept and implementing a solution that is truly enterprise-ready. One of the challenges is the complexity of mission critical applications which may be subject to regulations. They must be approved, certified, supportable and dependable, requiring a much longer implementation lifecycle. In this session, the speaker will share tips for getting your organization started on its blockchain journey without becoming disillusioned or discouraged. He will explain the steps you can take to discover where this technology can play a role in some of your current projects, delivering value in the nearer term which can be used to prove its worth to senior management. He will reveal how to introduce blockchain into the enterprise while creating value and managing expectations.
Quantum computing is currently at a leaping point, similar to where the semiconductor industry was back in the 1970s or 1980s. At this nascent stage, businesses are working to figure out what exactly it’s going to mean for our future, and how this technology could make an impact on so many different types of technologies. In the automotive industry, for example, businesses look to quantum computers for simulating materials for new electric vehicles and battery technology. In Aerospace and Defense, quantum technologies play a major role simulating and modeling airflow over the wing of an aircraft – a process that could reduce development from months or years on traditional machines to weeks with quantum computing. Dr. Eric Holland, Director of Strategic Growth Initiatives in Keysight Technologies’ Quantum Engineering Solutions group will share his explorations in quantum computing, quantum communications and quantum sensing, which have amazing end applications in a variety of markets - in particular Aerospace and Defense and Automotive.
Non-fungible tokens have taken the world of digital art by storm. The growth in NFTs this year is a staggering 1500%+, and is set to revolutionize art & collectibles.
NFTs have been around for some time, since the CryptoKitties, but the world is only now taking notice.
In this session, I present the basics of NFTs, and how they are built on blockchains such as Ethereum. We will delve into building NFTs on IPFS, where the data is not stored on the chain itself.
We will also jump into how NFTs can revolutionize gaming by allowing users to hold and sell rare and unique in-game assets.
Blockchain enabled networks will change how business is done between trading partners. We will review the MediLedger Network, in production in the Pharmaceutical industry that is enabling trusted automation between companies to eliminate inefficiency and fix healthcare.
Thesis believes that individual freedom is what makes us human, but the economic and technological reality for many today means our freedom is inhibited by censorship, surveillance, and institutional control. From banks to funds to credit rating agencies, intermediaries and gatekeepers siphon value and control access. The blockchain and crypto community is full of engineers, designers, and visionaries bound by the shared belief there is a better way to build the systems that power our world. This discussion will be an overview of how to build the protocols and create the tools and systems that we all need to build a future that involves less centralized control. That means building decentralized, permissionless platforms with new technology that ensure control and privacy — what we call sovereignty — to individuals.
What are world Megatrends? How do these relate to advances in technology like data analytics/machine learning/artificial intelligence, robotics/automation, 3D Printing/Functional Materials, Digital Manufacturing, Smart Devices/Industrial IoT, and Generative Design? How are these technologies tied to Industry 4.0 and the digital threads of hardware products across their lifecycle? How will these technologies evolve over time to realize the full potential and enable imagining and building things which cannot be designed and manufactured today? In this talk answers to these questions will be presented, and the Far Future will be tied to Near Present current solutions which will set the irreversible sequence of events into motion.
Around the world governments are counting on a quick transition to electric mobility to decrease CO2 emissions. They recognise that this is dependent upon a sustainable supply of Electric Vehicle battery minerals and a circular economy to ensure maximum use and reuse of battery materials.
Sweeping changes equals a lot of challenges, and plenty of opportunities. Enter: the Battery Passport.
‘Battery Passport’ is a term now widely used to describe a global solution for securely sharing battery information and data across the battery lifecycle. Everledger, ’The Digital Transparency Company”, has developed the first Battery Passport technology platform, underpinned by blockchain, to capture and share battery data and streamline regulatory compliance.
The current global pandemic has underscored the needs of enterprises to enhance product trust, reduce supply chain inefficiencies, and transition towards digital administrative methods to handle these needs. Consumers and companies are increasingly wanting to know exactly who has handled their products, what is in their products, when their products have been handled, where their products have been, and how their products have arrived.
The advent of blockchain technology has paved the way for enterprises to achieve these traceability goals in real-time at the click of a button. Blockchain-based traceability provides enterprises a completely new, secure, and efficient digital way to tell their consumers and stakeholders the true story behind their products, a win-win for both parties.
As a founding entity of the Cardano blockchain protocol, EMURGO's Trace solution leverages blockchain technology to address all of these enterprise needs by providing a simple, digital platform solution that can be tailored to meet the specific demands of various industries.