Crypto Payment
You selected:
Information
Checkout
Select your currency
Thank you for your order!
Please send the amount above to this address:
After completing the payment, click below to go back to shiftconf.co. Upon payment confirmation you will receive your tickets to the provided e-mail.
Invoice payment
You selected:
Information
Checkout
Invoice
Please download this invoice with button below
SEND d.o.o
114 Brigade 8
21000 Split
OIB: 26815142990
SEND d.o.o
114 Brigade 8
OIB: 26815142990
INT/225671
Description Quantity Unit Price VAT(%) Amount
SUBTOTAL: 200.00 EUR
VAT (25%): 50.00 EUR
TOTAL: 250.00 EUR
IBAN: HR4423400091110667576, Croatia, SWIFT: PBZGHR2X
Bank info: Privredna Banka Zagreb d.d., 10000 Zagreb Rackog 6
Download invoice
Thank you for your order!
Please send the amount above to this address:
After completing the payment, click below to go back to shiftconf.co. Upon payment confirmation you will receive your tickets to the provided e-mail.
Complete
SEPTEMBER 2020, Dublin, Ireland
Shift AI
Bringing the brightest (computer) minds together
Shift AI will be the meeting place for almost 1,200 professionals eager to propel the progress of AI and discuss the newest technologies in data mining, machine learning and neural networks.
SHIFT AI 2020
What is Shift AI all about
We’re bringing some of the most prominent names in the world and putting them under the spotlight to speak their minds about the future of AI. Alongside we will have an expo full of amazing companies, enabling ideas, connections and deals in the AI industry.
Education

The industry is rapidly changing and will continue to do so. It’s becoming harder and harder to keep up with it all. In order for you to stay on top of your game, we’re bringing the leading industry experts to share their experience and knowledge with you.

Watch MONEY’19 review
Shift Education
Shift Networking
Networking

Over a 1,200 professionals, such as yourself, are coming to the conference to discuss the future of AI. You’ll be able to meet new people, share ideas and opinions without making it awkward. Everybody here is excited to meet.

Learn more about the attendees
Prospecting

Apart from making new friends, you’ll also be able to find new clients and partners. A lot of people come to the Shift AI conference with problems, as well as solutions. Whether you’ve got the former or the latter, you’ll certainly able to find what you need.

Get tickets
Shift Prospecting
2
Days
20+
Speakers
30+
Exhibitors
1200+
Attendees
ARE YOU INTERESTED IN OUR NEWSLETTER?
Stay in the loop
We love email, and you should too - subscribe to our newsletter to be up to speed with the latest announcements.
ATTENDEES
Who is attending?
Shift AI is gathering representatives from the whole AI sector, no matter their size or stage - these are just some of them.
Show more
OUR AMAZING LINEUP
Speakers
Our speakers will still have you thinking long after the conference has ended.
Hassan Sawaf
Hassan Sawaf
Director of AI Research at Facebook AI
Facebook AI

With more than 20 years of expertise in bringing cutting edge technology from academia to market, Hassan Sawaf is well-recognized in the field of applied science and machine learning, with applications in machine translation, speech recognition, computer vision, natural language understanding and dialog, process optimization, and other fields. Hassan is currently Director, Facebook AI with a focus on building machine learning technology to leverage multimodal signals for comprehension, machine induction and personalization across various applications in various domains, among them applications in the augmented reality and virtual reality (AR/VR) field.

Read more
Ashley Casovan
Ashley Casovan
Executive Director at AI Global
AI Global

Ashley is an engaged and innovative leader who has always had a deep interest in advancing the public good. Recently leaving her long-standing career in the public service where she was last Director of Data and Digital for the Government of Canada, she has now taken on the role of Executive Director of AI Global, a non-profit dedicated to creating practical tools to ensure the responsible use of AI. Throughout her career she has worked at the intersection of innovative technology and data, and its impact on providing better information and services.

Read more
Lin Huang
Lin Huang
Director of Data Science & Engineering at Reddit
Reddit

Lin is an established data science executive with more than a decade of expertise in building, leading and growing multiple world-class teams of data scientists and ML engineers. He has proven track record in driving state-of-the-art ML/AI solutions in companies at different stages. Most recently, Lin leads Data Science & Engineering Org at Reddit, the 5th most visited site in the US. As the scientific backbone of Reddit, his horizontal teams deliver transformative experimentation capabilities and data products for all Reddit product areas to define and capitalize on company growth opportunities. Before Reddit, Lin headed data science teams in Microsoft then LinkedIn, across a wide range of domains, including search, recommendation, feed and ads. Lin is a University of Michigan trained statistician and his research has appeared in leading academic publications, including Advances in Consumer Research and International Symposium on Forecasting Proceedings. Lin is a frequent public speaker on business and technology.

Read more
Kairan Quazi
Kairan Quazi
AI Research Mentee at Intel

Kairan Quazi is an AI Summer Research Mentee at Intel Labs’ Anticipatory Computing Lab and a full-time undergraduate college student in the San Francisco Bay Area, California. He started his undergraduate studies in Mathematics and Computer Science at the age of 9. Kairan expects to enter his junior (third) year of undergraduate studies in August 2020 at the age of 11. To date, Kairan has earned five certifications in Deep Learning, four certifications in advanced Python programming, and maintains proficiency in 19 programming languages and frameworks. Kairan has been recognized by the prestigious Davidson Institute Young Scholars Program and the Johns Hopkins Study of Exceptional Talent. He has been featured as a guest writer in HuffPost and MIT Technology Review. He has been featured in numerous television and print media interviews as well as viral documentaries released by HuffPost, Voice of America, and 60 Seconds Documentary. Kairan is an extroverted learner with a passion for politics, current events, and all things STEM. He also enjoys reading, video-gaming, collecting Pokémon cards, traveling, and making friends.

Read more
Sebastian Wieczorek
Sebastian Wieczorek
Vice President of Machine Learning at SAP
SAP

Dr. Sebastian Wieczorek is Vice President Machine Learning for Data Intelligence, SAP’s technology platform which helps companies to develop and consume AI capabilities. In this role, he is responsible for development teams in four European and Asian locations. In addition, he is a key spokesperson for AI and member of SAP’s AI ethics steering board which provides company-wide guidelines on how to apply AI in a human-centric way. Sebastian is member of the Enquete Commission on AI of the German Bundestag, board member at Bitkom’s AI working group, member of the steering board of the EU-project SHERPA, which conducts research on ethical questions in regard to the use of AI, and serves as an academic expert and reviewer for the European Commission and the German Ministry of Education and Research. In previous positions at SAP, Sebastian coordinated all startup engagement activities of the SAP Innovation Center Network, including the scouting of companies for partnering and M&A, the mentoring of startups at accelerators like TechStars, Startupbootcamp, Seedcamp and SAP.io, as well as representing SAP at the German Startups Association. While at SAP Research, Sebastian managed EU-funded research projects and led the "Application Engineering Group". During this time, he was an organizer and member of various scientific program committees for peer-reviewed conferences and workshops, conducting lectures on Web Engineering at the Technical University of Darmstadt, and published numerous papers on software engineering.

Read more
Mark Weber
Mark Weber
Strategy & Operations Lead at MIT-IBM Watson AI Lab

Mark Weber is an applied researcher and Strategy & Operations Lead at the MIT-IBM Watson AI Lab, a $250 million partnership funding over 200 scientists making fundamental breakthroughs in AI. Through the lab’s corporate membership program, which he runs, Mark works closely with global leaders across multiple sectors on the creative challenge of bridging fundamental science to real-world impact. Mark’s current applied research includes neuro-symbolic generative modeling for construction monitoring, graph deep learning for anti-money laundering, and supply chain demand forecasting. Mark also oversees strategic engagements with IDEO and the International Monetary Fund. Prior to IBM Research, Mark was a graduate researcher at the MIT Media Lab and a fellow at the MIT Legatum Center for Development & Entrepreneurship while he earned his M.B.A in finance from MIT Sloan. There he led the development of an open-source protocol called b_verify for verifiable records in supply chain finance. Before his foray into technology, Mark spent the first chapters of his career focused on political economy and development. He produced three documentary films on these subjects, most notably the critically acclaimed film Poverty, Inc. In his personal time, he is an avid reader and an ultramarathon trail runner. Learn more at www.markrweber.com and follow Mark at @markrweber.

Read more
Julie Choi
Julie Choi
VP, AI Product Group at Intel

Julie Shin Choi is VP and GM of Artificial Intelligence Products and Research Marketing at Intel Corporation. She is responsible for marketing the Intel portfolio of hardware and software products for building enterprise scale AI solutions. She is driving the AI marketing strategy across Intel, helping customers, developers, and the ecosystem understand Intel’s rich set of AI offerings. Prior to joining Intel, she led product marketing at Hewlett Packard Enterprise, Mozilla and Yahoo, focused on developer and enterprise audiences. Julie holds a bachelor’s degree from MIT and a master’s degree from Stanford, both in Management Science.

Read more
Ashish Bansal
Ashish Bansal
AI Leader at Twitter

Ashish Bansal is an AI/ML leader, well-known speaker and astute technologist with over 20 years of experience in the field. He currently leads engineering teams at Twitter that build AI/ML systems at a billion tweet scale. He has founded successful startups. Prior to this, he was the Sr. Director at Capital One. Ashish has spoken at the world’s top AI conferences such as the O’Reilly AI Summit, RE*WORK Deep Learning Summit, Predictive Analytics World (PAW), Big Data & AI conference amongst others. He is also the content chair for the AI track for TieCON SF. Ashish has also been published in Forbes, CIO Review, CIO Applications, and the Financial Post. He has co-founded the IIT AI/ML forum, a worldwide special interest group of IITians working in the field of AI/ML. Ashish grew this group to over 1000 members in 2 years.

Read more
Kathy Baxter
Kathy Baxter
Ethical AI Practice at Salesforce

As an Architect of Ethical AI Practice at Salesforce, Kathy develops research-informed best practice to educate Salesforce employees, customers, and the industry on the development of responsible AI. She collaborates and partners with external AI and ethics experts to continuously evolve Salesforce policies, practices, and products. Prior to Salesforce, she worked at Google, eBay, and Oracle in User Experience Research. She received her MS in Engineering Psychology and BS in Applied Psychology from the Georgia Institute of Technology. The second edition of her book, "Understanding your users," was published in May 2015. You can read about her current research at einstein.ai/ethics.

Read more
Michael Lanzetta
Michael Lanzetta
Lead, Applied ML Engineering at Microsoft

Michael Lanzetta is a Principal Applied ML Engineer Lead at Microsoft with over 20 years of experience on projects involving Operations Research, Optimization, Forecasting, and Machine and Deep Learning. His background in multiple industries makes him well-suited for his current role - helping Fortune 100 companies realize business transformations using the power of Machine Learning and data at scale.

Read more
Ehsan Yousefzadeh
Ehsan Yousefzadeh
Artificial Intelligence at AIG Investments

Ehsan is the Product Manager for the Investments AI team, a centralized Artificial Intelligence team within AIG. He joined AIG in April 2019 and currently leads a product team of machine learning scientists, natural language processing scientists, data engineers, and developers to create and deliver AI products (models and applications) to be used within the investment team. Prior to AIG, Ehsan co-founded an electronic trading startup that used AI to provide prices within the corporate bond markets and has previously worked on the fixed income credit desks at Goldman Sachs and BNP Paribas since 2007. Ehsan holds his Masters in Data Science from UC Berkeley.

Read more
Sebastian Weyer
Sebastian Weyer
Co-founder & CEO at Statice
Statice

Sebastian is a Co-founder & CEO at Statice, a Berlin-based data anonymization company. Statice enables companies to undertake safe and efficient data science, without compromising the security or privacy of consumer data. Leading corporates from the finance, insurance, healthcare and automotive fields leverage Statice technology to safely build value with data assets. Prior to founding Statice, Sebastian developed ventures in IoT, Data Science and Big Data at WATTx, a corporate company builder. Sebastian holds a masters degree from the Rotterdam School of Management, and is a member of the Working Group on Data Privacy of the German Initiative for Artificial Intelligence. He has always been passionate about data-driven innovation that creates value for people and their businesses. He believes in a data-driven present and future, and is sure that we can combine data-based value creation with ethical business practices.

Read more
Sohrob Kazerounian
Sohrob Kazerounian
AI Research Lead at Vectra
Vectra

Sohrob Kazerounian is the AI Research Lead at Vectra. He completed his PhD in Cognitive and Neural Systems at Boston University, and subsequently worked as a post-doctoral research for three years at the Swiss AI Lab (IDSIA), working on the deep learning AI models that are now prevalent in computer vision and language processing technologies at the world’s largest technology companies.

Read more
Will Prendergast
Will Prendergast
Founding partner at Frontline Ventures
Frontline Ventures

Will is a founding partner of Frontline Ventures and has spent the last decade focused on software and the internet. Before Frontline he was a partner with NCB Venture Capital and prior to that was a consultant within the strategy division of Accenture UK. During his career he has led investments in a wide range of software companies including AMCS (waste management), Britebill (consumer engagement & billing) and epubDirect (ebook distribution). Will is a member of the Society of Kauffman Fellows, a network of 200+ venture capital professionals in leading firms around the world. He spends a significant portion of his time in the US developing investor and corporate relationships to benefit the companies in which Frontline has invested. Will holds a Chemical Engineering Degree from University College Dublin.

Read more
Debbie Rennick
Debbie Rennick
General Partner at Act Venture Capital
Act Venture Capital

Debbie is a Director of ACT and has been active in corporate finance and venture capital investing for 20 years. Her investment focus is on software, healthcare and media. Debbie is currently on the boards of Qumas, Capella and Heartsine Technologies and works closely with the teams at Game, Endecco, Keelvar and Soundwave. Previously, she has been closely involved with a number of other ACT companies including AEP (acquired by Ultra Tehnologies),Lifestyle Sports (acquired by Stafford Group) , Nova Science (acquired by Abbott), Snapper Music & Kainos. Prior to joining ACT, Debbie spent 5 years with KPMG Corporate Finance specialising in strategic corporate advice, fund-raisings and M&A transactions. Debbie graduated from University College Dublin (UCD) with a degree in Civil Law. She also holds a Diploma in Professional Accounting and is a Fellow of the Institute of Chartered Accountants in Ireland.

Read more
Rob Kniaz
Rob Kniaz
Founding partner at Hoxton Ventures
Hoxton Ventures

Rob is a founding partner at Hoxton Ventures, an early stage venture capital firm investing across Europe. He represents the firm on the boards of Raptor Supplies, NoMagic, Kheiron Medical and previously was on the board of Immunio (acquired by Trend Micro) and Campanja (acquired by 24/7 Media). He additionally works with Hoxton's interests in Deliveroo, Babylon Health and Optimoroute. Having spent most of his career in Silicon Valley, Rob came to London in 2008 to join the investments team at Fidelity Ventures, focusing on consumer internet and software as a service sectors. Prior to Fidelity, he was on the new business development team at Google and was previously a lead product manager for AdSense's front-end systems. While at Google, he also launched the AdWords pay-per-action (PPA) product and was actively involved in the acquisition of Feedburner in 2008. Rob began his career in Intel's highly selective technical sales program where he worked to grow their entrepreneurial reseller channel in the Federal Government vertical and later in Latin America from Bogota and Miami Beach. A dual US/UK national, he holds a BS in Computer Science from the University of Maryland and a Masters certificate in Management Science & Engineering from Stanford University.

Read more
Fergal Reid
Fergal Reid
at Intercom
Intercom

Fergal leads Intercom's ML team, and recently PM'd the launch of Resolution Bot, Intercom's most advanced NLP product. Fergal previously ran the Predictive Analytics team at Optimizely, following their acquisition of his reinforcement learning startup. Fergal has a PhD in Machine Learning, and works at the intersection between technology and product.

Read more
Kieran Towey
Kieran Towey
Data Scientist and Analytics lead at KPMG
KPMG

Kieran has over 20 years’ experience working as a Data Scientist, delivering data powered solutions to large global and domestic clients. Kieran has a mathematics and statistics academic background and excels in building and growing data, analytics and artificial intelligence capability, including specialist teams and technology solutions. Kieran is a Thought Leader in the field of analytics and has travelled the world, working with clients across all industries and speaking at technology, analytics and AI conferences. Kieran’s expertise lies in designing and delivering data powered solutions that maximise the client value from investments in data and analytics technology, with particular domain expertise in Financial Services.

Read more
Navdeep Sharma
Navdeep Sharma
Technology Architect Principal - Data & AI at Accenture The Dock
Accenture The Dock

Navdeep is currently working as Data & AI Architect at Accenture’s R&D center, with a passion for designing forward-thinking solutions and bringing Artificial Intelligence to individuals. He has extensive experience in implementing the Machine learning lifecycle through production and manage aspects such as data pipeline, scaling, automation, and Governance

Read more
More coming soon
Call for proposals
We would love to invite you, help us build a great conference by submitting your proposals for talks. If chosen, you would join our stellar speaker line-up which has previously included experts from companies such as Amazon, DataRobot, Google, Microsoft & IBM.
Apply here
"Shift was awesome! Even though I'm well connected in Silicon Valley, I ended up meeting a great friend and new business partner there...I can't wait to go back."
Justin Kan
Co-Founder of Twitch
"It's exciting to me when an event like Shift Split happens because it is usually the first sign that a new startup ecosystem is forming. To me I find that fascinating, because I know that in time we will see great tech products, Startups and entrepreneurs come from it. Plus, events like this are a key indicator to the press and investors that they will know where to look for the next big thing."
Mike Bucher
Editor at Large at TechCrunch
"One of the most exciting conferences I have been to. Everyone here had such an enthusiasm, everyone really wanted to learn and the other talks were excellent."
Slater Victoroff
Founder of Indico Data

Schedule

Browse through the schedule and see which talks interest you the most.
10:00
10:00 - 11:00
Registration
Pick up your badge, familiarise yourself with the schedule and the venue's layout and meet other attendees before things get hectic.
11:00
11:00 - 11:15
Opening Ceremony
Ivan Burazin (Shift)
An opportunity to see all of the people in one place, before everybody heads to workshops, and lectures
11:15
11:15 - 11:45
Evolution of Data Science & ML/AI in Tech: from Insights to Experiment-Backed Data Products
Lin Huang (Reddit)
Success of data science requires mastery of ML/AI techniques, and deep understanding of company priorities. The most rewarding yet challenging aspect is to build a rhythm to deliver actionable outputs (i.e., data products) that directly transform business decisions. In tech companies, we are blessed with uniquely complex data assets, for which it took us rounds of iterations to customize a solution that maximizes our data potential. This talk focuses on my journey as a leader and practitioner in the tech industry in the last decade, especially the last 18 months at Reddit to build an experimentation platform, and to revamp the engineering workflow prioritizing the interplay of offline ML modeling and online testing. Not every piece of ML insights checks out in an experiment, but every "setback" is equally valuable as it allows us to iterate faster and more purposefully. Culturally speaking, I encourage calculated risk taking since data products are most powerful when they point to new business directions (vs. validating the existing ones). With a suite of concrete examples, I demonstrate how rhythmically outputting data products answers the common questions that almost all serious tech companies are curious about, namely, where are “good ideas” from? How to generate them at scale? Do they hold up IRL? Still valuable if they don’t?
11:45
11:45 - 12:15
Graph Deep Learning for Real-World Applications
Mark Weber (MIT-IBM Watson AI Lab)
Try to reason about something without any context. It’s possible, but your understanding will be limited and brittle. That’s because relationships between things give us critical information. In mathematics, we can model relational data as a graph or network structure -- nodes, edges, and the attributes associated with each. While deep learning has done remarkable things on Euclidean data (e.g. audio, images, video) graph deep learning has lagged because combinatorial complexity and nonlinearity issues making training very difficult and expensive. Yet it’s precisely the information hidden in that complexity that makes graphs so interesting. In this talk, Mark Weber will introduce a class of methods known as scalable graph convolutional networks (GCN) and share experimental results from a semi-supervised anomaly detection task in financial forensics and anti-money laundering. We will take a closer look at a new method developed at MIT-IBM called EvolveGCN, which uses recurrent neural network architectures (RNN) for handling temporal dynamism. We will discuss the implication of these results in anti-money laundering and beyond.
12:25
12:25 - 12:45
TBA
TBA
TBA
13:00
13:00 - 14:00
Lunch Break
Everybody needs fuel, right?
14:00
14:00 - 14:45
Shift Challenge - Semi Finals 1
14:45
14:45 - 15:30
Recommendation Systems at Scale
Ashish Bansal (Twitter)
TBA
15:30
15:30 - 16:00
Fairness in AI
Navdeep Sharma (The Dock, Accenture)
Our society’s increasing reliance on algorithmic decision making, particularly in social and economic areas has raised a concern; that they may inadvertently discriminate against certain groups. More recently the domain of algorithmic fairness has received mainstream publicity through several high-profile cases. This publicity has shaped a more general awareness of the need to do proper “fairness” due diligence on model outcomes, especially as algorithms become more widespread in societal and business decision-making. At Accenture's R&D division, The Dock, we built a tool to analyze fairness metrics in AI & ML models, with the ability to fix any unconscious bias present in the data or models and completed an initial pilot with one of Ireland's biggest banking clients.
16:00
16:00 - 16:20
Coffee Break
Everybody needs fuel (part two), and of course a great networking opportunity
16:20
16:20 - 16:45
Zero-Trust in a world of Deep Fakes: Challenges to AI-based Threat Detection
Sohrob Kazerounian (Vectra.ai)
In recent years, AI and automation In recent years, AI and automation have rapidly expanded the scope of what computers are capable of achieving. Speech recognition, computer vision, and natural language processing (though not understanding) are beginning to approach human-level performance. Nevertheless, there are a number of unique challenges that make the application of these technologies to cybersecurity a non-trivial task. Most importantly, the adversarial nature of attackers means that threat detection must constantly be on the lookout for never before seen attacks that occur against a constantly evolving background of network infrastructure and traffic. By drawing analogies between the zero-trust framework in information security, and generative adversarial networks in AI, this talk will explore these challenges and approaches to overcoming them.have rapidly expanded the scope of what computers are capable of achieving. Speech recognition, computer vision, and natural language processing (though not understanding) are beginning to approach human-level performance. Nevertheless, there are a number of unique challenges that make the application of these technologies to cybersecurity a non-trivial task. Most importantly, the adversarial nature of attackers means that threat detection must constantly be on the lookout for never before seen attacks that occur against a constantly evolving background of network infrastructure and traffic. By drawing analogies between the zero-trust framework in information security, and generative adversarial networks in AI, this talk will explore these challenges and approaches to overcoming them.
16:45
16:45 - 17:30
Shift Challenge - Semi Finals 2
17:30
17:30 - 18:00
Mission Collision: Artificial intelligence in the era of social justice reforms
Kairan Quazi (Intel)
A daily scan of news headlines shows that technology has become invasive and pervasive in every aspect of modern civil life. The increasing use of artificial intelligence technology by law enforcement and criminal justice institutions is raising serious issues for civil liberties and social justice. “Bad data” disproportionately targets already marginalized populations that have faced historical systemic discrimination. This discussion will touch on the consequences of the current application of Artificial Intelligence technology on initiatives to achieve equity and justice in our civil institutions.
18:00
18:00 - 18:30
Operationalizing Machine Learning in Enterprises: How companies can manage the entire data science process and productively use machine learning with ease
Sebastian Wieczorek (SAP)
Machine Learning made large progress in recent time, and it has an enormous potential to revolutionize and simplify the daily work in companies. However, according to Gardener, this potential is still not yet fully exploited, and the biggest issue for companies nowadays is to deploy machine learning in production and make really use of it for their productive processes. In this Session we show how SAP manages development, training, deployment, and operation of Enterprise AI applications for building the intelligent Enterprise.
21:00
21:00 – 02:00
After Party
Chillax, network and mingle. You won't be sorry
10:00
10:00 - 11:00
Registration
Pick up your badge, familiarise yourself with the schedule and the venue's layout and meet other attendees before things get hectic.
11:00
11:00 - 11:30
TBA
Hassan Sawaf (Facebook AI)
TBA
11:30
11:30 - 12:00
Ethically High Risk AI Applications
Kathy Baxter (Salesforce)
AI has the potential for significant good in the world; however, there specific AI applications that are at high risk of directly or indirectly violating human rights. It is important to recognize why these applications are high risk, determine if the risks can be mitigated, and when or if they should be used at all.
12:00
12:00 - 12:15
Doing AI Responsibly: Tools for Practitioners and Regulators
Ashley Casovan (AI Global)
With AI poised to add more than $15 trillion dollars to the global economy with limitless opportunities to provide better access to critical services like healthcare, banking, and communication, AI has proven the ability to enhance our daily lives and increase the analysis of information. However, early uses of AI have demonstrated that when not designed in a thoughtful and responsible manner, these systems can be biased, insecure, and not compliant with existing laws. The issues arising from the increased use of AI have been well documented including, hundreds of white papers, policies, journal articles, and research studies. However, there are limited resources available for practitioners to easily understand what developing good AI actually means to them. The presentation will give an overview of the responsible AI landscape as well some of the tools being developed to support those building AI systems from the engineers to the product managers to the lawyers.
12:15
12:15 - 13:00
TBA
Julia Choi (Intel)
TBA
13:00
13:00 - 14:00
Lunch
Everybody needs fuel, right?
14:00
14:00 - 14:45
Shift Challenge - Finals
14:45
14:45 - 15:30
Panel Discussion
Ehsan Yousefzade (AIG), Sohrob Kazerounian (Vectra.ai), Sebastian Weyer (Statice)
TBA
15:30
15:30 - 16:00
TBA
TBA
TBA
16:00
16:00 - 16:20
Coffee Break
Everybody needs fuel (part two), and of course a great networking opportunity
16:20
16:20 - 16:45
AI on the Edge
Michael Lanzetta (Microsoft)
Tales from the field – challenges and opportunities deploying AI models in various Edge and IoT scenarios. My team works with everyone from our largest customers to some of the world’s largest mammals (anti-rhino-poaching efforts), building machine and deep learning models and deploying them into production everywhere from the cloud to birds’ nests.
16:45
16:45 - 17:10
TBA
TBA
TBA
17:10
17:10 - 17:35
TBA
TBA
TBA
17:35
17:35 - 18:00
Shift Challenge Winner Announcement
A look back onto these two days, a few closing words and a warm goodbye until the next year.
18:00
18:00 - 18:15
Closing ceremony
21:00
21:00 – 04:00
After Party
Last day, closing party. Go all out...
WE CARE ABOUT YOUR STAY
Accomodation & transport
Check out our partners for the best possible accommodation for your stay.

Get tickets

September 2020
MEET THE SHIFT TEAM
About Us
The Shift Team has been organising tech events for over nine years. Our main two events are Shift Dev and Shift Money, and each one brings together more than a 1000 attendees from all over the world every year.
Shift team
NEW PLACE
Dublin, Ireland
The Shift Team has been creating technology conferences for over 9 years. Now, Shift AI will take that mantle.