Industrial Analytics and Predictive Maintenance 2017 - 2022Rising Media Ltd.
In this session we will present the results of two recent, international studies on the state of data analytics in industrial settings. You will get insights from an in-depth industry survey of 151 analytics professionals and decision-makers in industrial companies, providing a deep-dive into strategies, project types, cost structures and skill-demand in IoT-based analytics. In addition we will present a survey focusing on predictive analytics covering the market potential and expected development until 2022.
Developed with Forum for the Future, an international sustainability non-profit organization, and based on our own interviews and executive survey, Vision 2030: A connected future highlights the opportunities that experts and business leaders see for IoT, data and connectivity to create a sustainable future.
The report outlines a future vision for IoT driven connectivity and highlights the barriers that need to be overcome to realize this vision and concludes with recommended next steps.
valohai에서 발표한 2021, State of MLOps 2021 survey 자료를 요약하여 정리한 것입니다. 조직내에서 MLOps 와 관련하여 역할과 팀의 규모, 집중하는 영역, 현재 툴링화 하여 사용하고 있는 영역 등에 대한 100명의 응답자 내용을 정리한 것입니다.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
Intelligent Maintenance: Mapping the #IIoT ProcessDan Yarmoluk
A presentation about Industrial IoT, the value chain and real-world use cases; how to create value with IoT at your organization with an emphasis on predictive maintenance (bearing fault detection).
My presentation at The Richmond Data Science Community (Jan 2018). The slides are slightly different than what I had presented last year at The Data Intelligence Conference.
Industrial Analytics and Predictive Maintenance 2017 - 2022Rising Media Ltd.
In this session we will present the results of two recent, international studies on the state of data analytics in industrial settings. You will get insights from an in-depth industry survey of 151 analytics professionals and decision-makers in industrial companies, providing a deep-dive into strategies, project types, cost structures and skill-demand in IoT-based analytics. In addition we will present a survey focusing on predictive analytics covering the market potential and expected development until 2022.
Developed with Forum for the Future, an international sustainability non-profit organization, and based on our own interviews and executive survey, Vision 2030: A connected future highlights the opportunities that experts and business leaders see for IoT, data and connectivity to create a sustainable future.
The report outlines a future vision for IoT driven connectivity and highlights the barriers that need to be overcome to realize this vision and concludes with recommended next steps.
valohai에서 발표한 2021, State of MLOps 2021 survey 자료를 요약하여 정리한 것입니다. 조직내에서 MLOps 와 관련하여 역할과 팀의 규모, 집중하는 영역, 현재 툴링화 하여 사용하고 있는 영역 등에 대한 100명의 응답자 내용을 정리한 것입니다.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
Intelligent Maintenance: Mapping the #IIoT ProcessDan Yarmoluk
A presentation about Industrial IoT, the value chain and real-world use cases; how to create value with IoT at your organization with an emphasis on predictive maintenance (bearing fault detection).
My presentation at The Richmond Data Science Community (Jan 2018). The slides are slightly different than what I had presented last year at The Data Intelligence Conference.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
Inside the mind of Generation D: What it means to be data-rich and analytica...Derek Franks
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it. In an IBM Center for Applied Insights global study of more than 1,000 enterprises, one particular segment – Generation D (for data) – stands out from peers. These enterprises not only employ more advanced data sources and more sophisticated analytics; they’re also adopting a more systematic, enterprise-wide approach to cloud computing, mobile and social engagement, and data and analytics. Interestingly, this GenD behavior pattern also correlates with stronger business performance across a range of key metrics.
Dcaf transformation & kg adoption 2022 -alan morrisonAlan Morrison
A keynote presentation on knowledge graph adoption trends and how to do digital transformation differently.
Delivered at the Enterprise Data Transformation & Knowledge Graph Adoption
A Semantic Arts DCAF Event
February 28, 2022
Terminology guide for digital health in 2021Velametis
It is no surprise that 2020 contributed to a surge in digital healthcare-related activities, in light of the COVID-19 pandemic.
At Velametis, we anticipate a continued growth in the industry in 2021, so we collated the most important digital healthcare terms and definitions you will come across this year.
Find out more @ https://velametis.com/
Best Practices in Implementing Social and Mobile CX for UtilitiesCapgemini
Are you having difficulties in implementing a modern customer experience solution strategy that meets your customers’ needs across all interaction channels, including mobile and social?
This presentation highlights best practices for the design and implementation of effective CX strategies adapted to the utilities industry.
Presented at Oracle OpenWorld 2014 by Bruna Gapo, Oracle's Utilities Industry Director, Ajay Verma, Capgemini's Global Utility Practice Leader, and Victor Jimenez, Capgemini Utilities Executive.
http://www.capgemini.com/oracle
At Neo4j we believe that ‘Graphs Are Everywhere’. In this session, we’ll be looking specifically at graphs within the Financial Services industry. We’ll review the types of data that are typically available within a bank, illustrate the graphs can be formed from that data, and discuss the use cases that those graphs can enable and support.
The use cases presented will include Anti-Money Laundering and Fraud Detection and Prevention (including integration with AI and Machine Learning technologies), Regulatory Compliance (such as BCBS 239 and GDPR), Customer 360 View, Master Data Management, and Identity and Access Management.
Many players in the Financial Services industry already rely on Neo4j's graph database: such as Lending Club, the world's largest microservices credit marketplace, for Network and IT, the big German insurance company die Bayerische for graph-based search, Cerved for Master Data Management, Wobi for price comparison and real-time recommendation, or UBS for Identity and Access Management.
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...Santiago Cabrera-Naranjo
When talking about how the future of Big Data will look like, this conversation often turns straight to Artificial Intelligence and Deep Learning. However, today data science is all too often a process where new insights and models get developed as a one-time effort or deployed to production on an ad-hoc basis i.e. they commonly require regular babysitting for monitoring and updating.
According to Gartner, the number of useless Data Lakes will be of 90% in 2018. Furthermore, only 15% of Big Data Products are mature enough to be deployed into Production - Who is responsible to make Big Data successful and Business relevant within an enterprise?
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Cloud Native Computing Foundation (CNCF) is founded for a microservice based new computing paradigm. Fujitsu joined CNCF since last December expecting to establish a new open standard platform. In this session, we'd like to share idea behind our participation and technical topics we're now investigating.
This presentation was delivered at LinuxCon Japan 2016 by Hiroyuki Kamezawa and Wolfgang Ries.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
Inside the mind of Generation D: What it means to be data-rich and analytica...Derek Franks
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it. In an IBM Center for Applied Insights global study of more than 1,000 enterprises, one particular segment – Generation D (for data) – stands out from peers. These enterprises not only employ more advanced data sources and more sophisticated analytics; they’re also adopting a more systematic, enterprise-wide approach to cloud computing, mobile and social engagement, and data and analytics. Interestingly, this GenD behavior pattern also correlates with stronger business performance across a range of key metrics.
Dcaf transformation & kg adoption 2022 -alan morrisonAlan Morrison
A keynote presentation on knowledge graph adoption trends and how to do digital transformation differently.
Delivered at the Enterprise Data Transformation & Knowledge Graph Adoption
A Semantic Arts DCAF Event
February 28, 2022
Terminology guide for digital health in 2021Velametis
It is no surprise that 2020 contributed to a surge in digital healthcare-related activities, in light of the COVID-19 pandemic.
At Velametis, we anticipate a continued growth in the industry in 2021, so we collated the most important digital healthcare terms and definitions you will come across this year.
Find out more @ https://velametis.com/
Best Practices in Implementing Social and Mobile CX for UtilitiesCapgemini
Are you having difficulties in implementing a modern customer experience solution strategy that meets your customers’ needs across all interaction channels, including mobile and social?
This presentation highlights best practices for the design and implementation of effective CX strategies adapted to the utilities industry.
Presented at Oracle OpenWorld 2014 by Bruna Gapo, Oracle's Utilities Industry Director, Ajay Verma, Capgemini's Global Utility Practice Leader, and Victor Jimenez, Capgemini Utilities Executive.
http://www.capgemini.com/oracle
At Neo4j we believe that ‘Graphs Are Everywhere’. In this session, we’ll be looking specifically at graphs within the Financial Services industry. We’ll review the types of data that are typically available within a bank, illustrate the graphs can be formed from that data, and discuss the use cases that those graphs can enable and support.
The use cases presented will include Anti-Money Laundering and Fraud Detection and Prevention (including integration with AI and Machine Learning technologies), Regulatory Compliance (such as BCBS 239 and GDPR), Customer 360 View, Master Data Management, and Identity and Access Management.
Many players in the Financial Services industry already rely on Neo4j's graph database: such as Lending Club, the world's largest microservices credit marketplace, for Network and IT, the big German insurance company die Bayerische for graph-based search, Cerved for Master Data Management, Wobi for price comparison and real-time recommendation, or UBS for Identity and Access Management.
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...Santiago Cabrera-Naranjo
When talking about how the future of Big Data will look like, this conversation often turns straight to Artificial Intelligence and Deep Learning. However, today data science is all too often a process where new insights and models get developed as a one-time effort or deployed to production on an ad-hoc basis i.e. they commonly require regular babysitting for monitoring and updating.
According to Gartner, the number of useless Data Lakes will be of 90% in 2018. Furthermore, only 15% of Big Data Products are mature enough to be deployed into Production - Who is responsible to make Big Data successful and Business relevant within an enterprise?
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Cloud Native Computing Foundation (CNCF) is founded for a microservice based new computing paradigm. Fujitsu joined CNCF since last December expecting to establish a new open standard platform. In this session, we'd like to share idea behind our participation and technical topics we're now investigating.
This presentation was delivered at LinuxCon Japan 2016 by Hiroyuki Kamezawa and Wolfgang Ries.
Brutally, "at the edge of crime", simplified overview of the Wardley Maps technique integrated with Lean Startup and Strategic Domain-Driven Design. Presented at A2B Accelerator, Jerusalem on April 20 2017.
IoT and AI Services in Healthcare | AWS Public Sector Summit 2017Amazon Web Services
In this session we will overview the latest AWS Artificial Intelligence (AI) and Internet of Things (IoT) services and show examples of how these services are enabling transformative new capabilities in health care. Join us in exploring various architectures and discussing the art of the possible in how AI and IoT services can be applied in different scenarios. Listen to the inspiring story of how one AWS-savvy father is using Amazon Polly, Lex, and IoT buttons to create a verbal assistant for his autistic son. We’ll also hear how the American Heart Association is leveraging Amazon Alexa and Lex chat bots as part of a new initiative to engage communities and individuals through innovative new feature offerings. Learn More: https://aws.amazon.com/government-education/
My Robot Can Learn -Using Reinforcement Learning to Teach my RobotRising Media Ltd.
Nowadays, everybody is following the hype around machine learning in general and around deep learning (DL), in particular. We are trying to use it for predicting unexpected down-times of machines, or to discover anomalies in data streams observing machines. What is usually missing is the magic. Most often DL is supervised, which means that someone is labelling some data which gets fed into some algorithm. But as an alternative, there is a new star at the horizon: Reinforcement Learning (RL). This is a concept using an agent and an incentive system to train an agent. By taking the incentives the agent can learn and improve his behavior. As a result, this is a self-learning system and only requires some simple rules. The combination of RL and DL eventually takes us to something we could consider as artificial intelligence. With AlphaGo we have seen how the combination of RL and DL can win a Go tournament. This is a very promising step in an interesting direction. This talk will provide an introduction into reinforcement learning. It shows how reinforcement learning and deep learning can be combined towards an AI system by providing some insights into existing projects. Starting with annotated data and using DL, it is possible to create a base model. This model gets refined with RL mechanisms. Finally, this talk will show how this approaches can be used to map it to Internet of Things and Industry 4.0 scenarios, such as a self-learning robot.
The Chief Data Officer and the Organizational JourneyCraig Milroy
The Chief Data Officer and the Organizational Journey.
Where does the role of the Chief Data Officer start and how does the role evolve within the organization as business value is realized.
Predictive Analytics World for Business Germany 2017Rising Media Ltd.
Predictive Analytics World for Business is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
Process mining provides new ways to utilize the abundance of event data in our society. This emerging scientific discipline can be viewed as a bridge between data science and process science: It is both data-driven and process-centric. Process mining provides a novel set of tools to discover the real processes, to detect deviations from normative processes, and to analyze bottlenecks and waste. The Internet of Events (IoE) not only includes classical sources of information like the webpages, information systems, and social media, but also incorporates the Internet of Things (IoT), wearables, mobile devices and Industry 4.0. Analogous to spreadsheets, process mining provides a generic domain-independent technology (starting from events rather than numbers). In his talk, Wil van der Aalst will argue that process mining should be an integral part of tomorrow's data scientist. He will introduce basic concepts and elaborate on his collaboration with industry. His research group at TU/e applied process mining in over 150 organizations, developed the open-source tool ProM, and influenced the 25+ commercial process mining tools available today.
Predictive Analytics World for Business Deutschland 2017Rising Media Ltd.
Die Predictive Analytics World for Business ist die führende anbieter-unabhängige Fachkonferenz für anwendungsorientierte Predictive Analytics. Anwender, Entscheider und Experten von Predictive Analytics treffen sich am 13 bis 14. November in Berlin, um sich über die neuesten Erkenntnisse und Fortschritte zu informieren, sich untereinander fachlich und persönlich auszutauschen und sich von den Erfolgen inspirieren zu lassen.
Chief Data Officer: DataOps - Transformation of the Business Data EnvironmentCraig Milroy
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
Predictive Analytics World Manufacturing Düsseldorf 2017 - ENRising Media Ltd.
Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics around the industry 4.0. Users, decision makers and experts in predictive analytics will meet on 2. February in Düsseldorf in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
Predictive Analytics World Berlin 2016 Call for SpeakersDatentreiber
Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
Predictive Analytics World for Business Germany 2018Rising Media Ltd.
Predictive Analytics World for Business is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
Predictive Analytics World, the leading vendor-neutral predictive analytics conference, is holding its forth annual conference this November, 3rd-4th in Berlin, Germany at Estrel Hotel. PAW focuses on concrete examples of applied predictive analytics. Join PAW Berlin to learn exactly how top practitioners deploy predictive analytics, and the business impact it delivers.
AI-SDV 2020 Conference and exhibition is planned to be held at the Hotel Aston la Scala at the same time physically and virtually. Speakers, attendees and exhibitors are invited to join physically or virtually. We are currently developing a range of digital formats that respond precisely to the speakers, attendees and exhibitors needs, enabling individuals and exhibitors from AI industry and related sectors worldwide to participate in the AI-SDV 2020 in Nice.
Due to rapidly changing developments, it is essential that the overall situation be reviewed on an ongoing basis and any measures taken are updated to reflect the evolving legal requirements.
The Artificial Intelligence Conference on Search, Data and Text Mining, Analytics and Visualization.
The 2020 AI-SDV Conference in Nice, 5. - 6. October 2020
2020 Analytics and Visualization Meeting (Presented by VantagePoint), 6. and 7. October 2020
AI-SDV 2020 is the place to be for everyone involved in advanced search and data applications, text mining and visualization technology. Individuals and companies that are shaping the future of this exciting space that surrounds us and impacts us all will present their latest research findings, tech developments and vision for the future.
It’s a full-on two days of learning, networking and exploring technologies and concepts that are now and will continue to change way we as individuals and organisations work, rest and play. The focus is Artificial Intelligence (AI), Digitization 2.0 (about making companies, processes and people ready for AI), Deep Learning and other topics identified by our community, who are specialists working in scientific and technical information.
The event features around 22 speakers over two days, plus an exhibition to complement the conference programme.
In 2020, based on attendee feedback, we are combining all the concepts the ICIC and II-SDV-Meetings in this one event in Nice.
As past attendees tell us, it’s a fabulous location and, beyond the formal meetings taking place in the conference and exhibition space, we make the most of this gorgeous location for informal evening receptions under the stars and networking dinners.
The size of the group makes it perfect for individuals from all sides of the information and tech space to meet and spend time together formally and also socially.
According to our exhibitors and attendees, the size of the event, the beautiful location and mix of people is why they return year after year. It’s where they learn, stay on top of developments, meet peers, find new collaboration opportunities and do business.
That’s why they return – and we hope you will join us too in 2020 and contribute to our programme as an attendee, speaker or exhibitor – and we look forward to welcoming you.
Startup Stage - Recruitment & HR - Presentation by Andy Kobelt, Co-Founder & CEO of F ECTIVE at the NOAH Conference London 2017, Old Billingsgate on the 3rd of November 2017.
The Digital Insurer’s German News Correspondent Uli Kleber of Generali attended the conference. The slides are his reflections of the event from a digital insurance perspective.
Berlin, 5-6 April 2017
More scalable and valuable market intelligence with deep text analytics - Mea...MeaningCloud
Analyze unstructured information about your customers, competitors and environment to turn it into actionable insights about your business.
MeaningCloud webinar, June 24, 2020.
More info and webinar contents https://www.meaningcloud.com/blog/webinar-text-analytics-market-intelligence
MeaningCloud https://www.meaningcloud.com
Steve Maclaren - Robotics and AI in project management: The future:
The APM Scotland Branch have continued the face-to-face Branch Conference series with a full day event on 7 September 2023.
Considering our ever changing environment is a vital skill for a Project Manager as they bring together a wide range of knowledge and expertise to fulfil projects in an ever evolving world where data, artificial intelligence and sustainability all play an important part
Steve Maclaren - APM Scotland Branch Conference 2023: Net Zero Nation and Sus...APMDonotuse
Steve Maclaren - Robotics and AI in project management: The future:
The APM Scotland Branch have continued the face-to-face Branch Conference series with a full day event on 7 September 2023.
Considering our ever changing environment is a vital skill for a Project Manager as they bring together a wide range of knowledge and expertise to fulfil projects in an ever evolving world where data, artificial intelligence and sustainability all play an important part
Startup Stage - Business Services - Presentation by Christian Wolf, CEO of parlamind at the NOAH Conference London 2016, Old Billingsgate on the 11th of November 2016.
4 slide decks from an equimedia-sponsored event with the Direct Marketing Association (DMA). Covering programmatic, marketing evolution, social media and Google trends.
Presentation 1) equimedia's Matt Smith on data and programmatic
Presentation 2) Panasonic’s European business marketing lead Stephen Yeo on marketing automation
Presentation 3) Sixth Sense Social’s social media group head Claire Snook on social media in business
Presentation 4) Google’s head of platform sales Darragh Daunt on future trends in marketing.
Healthcare, Science & Education - Presentation by Jessica Federer, Head of Digital Development of Bayer at the Axel Springer NOAH Conference Berlin 2016, Tempodrom on the 9th of June 2016.
There are many opportunities for service-oriented manufacturers to devise new and growth-oriented strategies by looking further into innovative service designs, value based selling, competence development, better usage of data and knowledge, and smart services.
Agenda for Aftermarket Business Platform 2014, 21st-23rd October, The Grand Hotel Huis ter Duin, The Netherlands. To download agenda please visit: http://www.aftermarketeurope.com/
Data Science at Roche: From Exploration to Productionization - Frank BlockRising Media Ltd.
The excitement about the potential opportunities for leveraging data by means of advanced analytics is huge. But, the honeymoon between business and data science is over. Stakeholders want to see value generation from data science. At Roche Diagnostics the Data Science Lab was created. Its mission is to explore business opportunities for data science across the company and to deliver productive, algorithm based systems that create impact. In his keynote, Frank presented some examples of data science initiatives going from data exploration over predictive modelling to productionization. Some of the challenges encountered were addressed as well as the learnings.
Cost-Effective Personalisation Platform for 30M Users of Ringier Axel Springe...Rising Media Ltd.
Profit margins in the digital publishing business leave no place for flirting with expensive experiments. How to choose an appropriate approach to personalization that works well not only in theory but in the real world? How to ensure cost-efficiency & future-proofness not covered by academic research? How to respond to changing business requirements in no time? Draw from the experience of building a pragmatic, real-world personalization platform for 30M users of Ringier Axel Springer.
Uplift Modelling as a Tool for Making Causal Inferences at Shopify - Mojan HamedRising Media Ltd.
For many businesses, it is not enough to model the probability of an outcome but rather, “given a predictive model, what can we do to change the probability of this outcome?” The goal of this talk is to present how uplift modelling is used to make causal inferences that guide acquisition strategy at Shopify. Mojan will walk through a case study focused on the statistics and experimental design behind uplift modelling, in addition to the learnings gained from bringing this model to production. The python implementation of this presentation will be made available to attendees.
Behind the Buzzword: Understanding Customer Data Platforms in the Light of Pr...Rising Media Ltd.
Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.
Data Science Development Lifecycle - Everyone Talks About it, Nobody Really K...Rising Media Ltd.
Data science is rapidly becoming the primary catalyst for product innovation. However, most of the projects are stuck in the Proof-of-Concept (POC) phase. Christian and René had the chance to be part of GfK’s journey from a traditional market research company to a prescriptive data analytics provider. In order to build end-to-end data-driven products successfully, it is necessary to blend what existing frameworks like SCRUM and CRISP provide with the best practices from software engineering. You will learn about how they gradually established a data science development lifecycle that overcomes the POC-trap by considering production realities from day 1. Leveraging core concepts like KPI-driven development and micro-services they are able to successfully develop, deploy, scale and maintain data science models in production.
Creating Community at WeWork through Graph Embeddings with node2vec - Karry LuRising Media Ltd.
Embeddings have become a powerful tool for representing discrete entities as continuous vectors. Recent advances have extended the original text embedding framework to accommodate new types of data. Of particular interest is a novel algorithm called “node2vec” that learns embeddings for nodes in a network. This is an especially pertinent use case for our team, since WeWork’s member community can conveniently be expressed in graphical form. In this talk, we’ll discuss how we use “node2vec” to create rich feature representations of WeWork communities, and then build recommendation services that are powered by these trained models.
More than 10 Blue Links: Advanced-Level SERP OptimisationRising Media Ltd.
In his talk at SMX Munich 2019, Dan Petrovic highlighted one emerging aspect of Google search - no search at all! We're talking about Google Discover, a machine learning content delivery platform that provides, "queryless" results served to users based on their interests, location and user behaviour. Discover already brings enormous traffic to those who show up on the feed, but remarkably remains largely under the radar by majority of the marketing community. Only days after Dan's presentation, Google started rolling out Discover performance report in Search Console.
Find out more: https://dejanseo.com.au/discover/
How to Get Great Results Across Every Marketing ChannelRising Media Ltd.
By now, most companies are doing Google & Facebook marketing (both paid and organic)-yet 99% of these marketing efforts end up going nowhere. This session will explore data that explains why the vast majority of internet marketing efforts fail. And now? Larry will provide an unusual, repeatable workflow on how to beat the Facebook & Google algorithms in 2018 and beyond.
● 99% of marketing efforts end up going nowhere
● Beat the Facebook & Google algorithms in 2018 and beyond
● Unusual, repeatable workflow
Mobile search overtook desktop search in less than five years... Mobile searches are inherently local, yet most digital marketers don't use Local SEO tactics. In this epic keynote session, Greg will cover the rise of mobile searches and how the landscape has changed for both organic and paid search. He'll share specific tactics to help you succeed in mobile searches in 2018. Even more shocking than the fast rise of mobile search, voice search went from zero to 10% in less than one year. Google recently announced that 20% of all mobile searches are voice based. Greg will share specific examples and tactics for voice search to help you prepare for the massive shift in search behavior that's already started. Are you ready for a Star Trek world where users simply talk to their mobile computers? We're living in that world already, and this session will make sure you're able to compete in 2018 and beyond.
● We are already living in a Star Trek world
● The rise of mobile searches and voice search causes massive changes
● Implications for organic and paid search, and how to compete in the future
The Scout24 Data Landscape Manifesto: Building an Opinionated Data PlatformRising Media Ltd.
The Scout24 Data Landscape Manifesto is the formalization of our opinions on how a successful data-driven company should approach data. In a truly data-driven company, no manager, no salesperson, no engineer and no data scientist can do their job properly without easy access to large amounts of high-quality data. It is Sean's mandate to create a platform that encourages the production of high-quality data and enables engagement with data by all employees. He and his team are opinionated about how all producers and consumers of data need to be active participants in the data platform, to make data-driven decisions and to be responsible for the data they produce. And he built the data platform with 'nudges' that reward data usage that matches his vision for a data-driven company. In this talk, Sean will present the Scout24 Data Landscape Manifesto and will show how the strong opinions it contains enabled him to successfully migrate from a classic centralized data warehouse to a decentralized, scalable, cloud-based data platform at AutoScout24 and ImmobilienScout24 that is core to their analytics and machine learning activities.
Prescriptive ohne Predictive: Regression ist noch nicht tot! ROMI bei UnitymediaRising Media Ltd.
Wo investieren wir die nächsten 100.000 €? Wenn wir das Marketingbudget in diesem Monat kürzen, was werden die Auswirkungen auf unsere Sales-Aktivitäten sein und für wie lange? Welche Botschaften sollen wir in unseren TV-Spots platzieren, welche im Bereich Out-of-Home? Wie wirkt sich das Fernsehen auf unseren Kanal-Mix aus und wann und wo lohnt sich die Investition am meisten?
Das sind die Fragen, die sich Unitymedia gestellt hat. Das Advanced Analytics-Team hat einen Baukasten aus fortgeschrittenen Regressionsmodellen entwickelt, um solche Fragen beantworten zu können, eine Diskussionsgrundlage zu bieten wie Marketing-Mittel optimal zu reallokieren sind und damit langfristig die Marktbearbeitung zu optimieren.
Die Case Study des Projekts erklärt die Modellierung und den Projektansatz, warum Predictive Analytics hier nicht funktionieren würde und wie wir uns darauf konzentriert haben präskriptiv zu handeln (und das nicht nur im Hinblick auf die Modellierung).
Reinforcement Learning - Learning from Experience like a HumanRising Media Ltd.
Reinforcement learning is in addition to (un)-supervised learning a major machine learning technology, which has a huge potential in a broad field of applications like robotics, autonomous driving, gaming and general control. This talk describes the major concepts, algorithms and software environments of it and gives a detailed overview of its capabilities. It addresses people with a reasonable background of other AI/ML technologies and therefore requires a good technical background.
Mindful Analytics - Wie Achtsamkeit uns noch besser machtRising Media Ltd.
Digitalisierung und Achtsamkeit sind zwei Trends, die unsere Gesellschaft und unsere Unternehmen beeinflussen. Im Rahmen der Digitalisierung und insbesondere mit der zunehmenden Nutzung von Daten, erzielen wir seit vielen Jahren große Fortschritte. Der Achtsamkeitstrend hingegen ist in den Unternehmen heute noch kaum spürbar. Dabei gibt es mittlerweile zahlreiche empirische Belege für die positiven Effekte eines achtsamen Arbeitsalltags und es wird Zeit, auch diesen Hebel zur Optimierung unseres digitalisierten Geschäfts zu nutzen.
In dem Vortrag werden grundlegende Konzepte der Achtsamkeit und Möglichkeiten zu deren Integration in den Arbeitsalltag gezeigt. Im Detail wird das Achtsamkeitsprinzip des „Nicht Bewertens“ mit Blick auf „Predictive Analytics“ analysiert. Außerdem werden die positiven Wirkungen der Achtsamkeit auf unsere täglichen und ganz praktischen Probleme der zunehmend datengetriebene Unternehmenskultur aufgezeigt.
Organizations across the globe ramp up Data Science teams and invest tremendous amounts in ambitious development initiatives. Hardly any CEO left who is not into developing a data driven organization or – even better – activating AI to become a true disruptor. Despite the highly motivated key stakeholders and rapidly growing data assets, many Data Science projects ultimately go wrong. Some of them produce impressive prototypes or MVPs and yet, fail to generate real impact. Data Science development with impact and at scale needs to address the differences between pure software development and development with analytical focus and high invention risk.
Predictive Analytics World for Business Deutschland 2018Rising Media Ltd.
Die Predictive Analytics World for Business ist die führende anbieter-unabhängige Fachkonferenz für anwendungsorientierte Predictive Analytics. Anwender, Entscheider und Experten von Predictive Analytics treffen sich am 13 bis 14. November in Berlin, um sich über die neuesten Erkenntnisse und Fortschritte zu informieren, sich untereinander fachlich und persönlich auszutauschen und sich von den Erfolgen inspirieren zu lassen.
The Centrality of a Detailed Understanding of your AudienceRising Media Ltd.
For media organizations an understanding of one's audience is key to delivering optimal content. The path to this understanding often runs through logged behavioral data, but can we leverage methods from the world of polling to generate additional insights?
Der steinige Weg zum automatisierten Data Science Produkt – Empfehlungen und ...Rising Media Ltd.
„Irgendwie müsste es doch möglich sein, unsere Marketing-Entscheidungen automatisiert und datengestützt zu optimieren. Bauchgefühl ist ja gut, aber auf Dauer? Wir haben da doch diesen Riesenberg an Daten. Nein, eigentlich sind es ganz viele Berge. Und eine Idee habe ich auch – lass uns unsere Preissetzung optimieren! Oder doch die Vertriebstätigkeiten?“
In unserer Deep-Dive Session zeigen wir im Detail, wie wir von einem unklaren „Ideenwust“ und einem bestenfalls rudimentären Verständnis von Datenerfordernissen und –realitäten schrittweise zu einer komplett datengetriebenen Software zur Optimierung von Marketing-Aktivitäten kommen. Interaktive Elemente machen den kompletten Prozess erlebbar – von der Priorisierung der Use Cases über die Erstellung erster Design Scribbles in Design Studio Workshops bis hin zur agilen Entwicklung der webbasierten Softwarelösung. Ein besonderes Augenmerk wird dabei auf der Herausforderung liegen, komplexe Data Science Modelle im agilen Setup – welches auf stetige Software-Inkremente abzielt – zu entwickeln. Konkrete Praxisbeispiele ziehen wir aus unseren noch laufenden Entwicklungen von Data Science Webapplikationen zur Retail Store Optimierung, Promotion-Optimierung und zur Produkt-Launch-Optimierung.
The “Big Data” and “Data Science” rhetoric of recent years seems to focus mostly on collecting, storing and analysing existing data. Data which many seem to think they have “too much of” already. However, the greatest discoveries in both science and business rarely come from analysing things that are already there. True innovation starts with asking Big Questions. Only then does it become apparent which data is needed to find the answers we seek.
In this session, we relive the true story of an epic voyage in search of data. A quest for knowledge that will take us around the globe and into the solar system. Along the way, we attempt to transmute lead into gold, use machine learning to optimise email marketing campaigns, experiment with sauerkraut, investigate a novel “Data Scientific” method for sentiment analysis, and discover a new continent.
This ancient adventure brings new perspectives on the Big Data and Data Science challenges we face today. Come and see how learning from the past can help you solve the problems of the future.
Seit Mitte 2014 hat David fast 100.000 Artikel von Spiegel Online systematisch gespeichert.
Zum einen gelingt dadurch Reverse Engineering von Spiegel Online: Der Datensatz wird auseinander genommen und Spiegel Online aus vielen völlig neuen Blickwinkeln betrachtet. Das Ganze wird bunt, unterhaltsam und anschaulich, so dass sowohl Techies als auch Nicht-Techies profitieren. Warum sind manche Artikel lang, manche kurz? Kann man Artikeln ansehen, ob die Redakteure wirklich dahinter stehen oder nicht? Welche Redakteure sind enger miteinander verbandelt als andere? Welche Inhalte hält der Spiegel selbst für politisch inkorrekt?
Zum anderen gibt David zum Konferenzabschluss einen Überblick darüber, was Data Science für ihn bedeutet und über die gesellschaftlichen Implikationen, die sich aus dem Hype ergeben - zum Nachdenken und meditieren. Nicht nur die Vorgehensweise, sondern auch die Möglichkeiten und gesellschaftlichen Gefahren der Datensammelwut und Auswerterei werden betrachtet und das anhand bunter Grafiken anstatt von Formeln.
Elsevier Medical Graph – mit Machine Learning zu Precision MedicineRising Media Ltd.
Elsevier Health Analytics entwickelt den Medical Knowledge Graph, welcher Korrelationen zwischen Krankheiten und zwischen Krankheiten und Behandlungen darstellt. Auf einem Gesamtdatensatz von sechs Millionen anonymisierten Patienten, beobachtbar über sechs Jahre, haben wir über 2000 Modelle erstellt, welche die Entwicklung von Krankheiten prognostizieren. Jedes Modell ist adjustiert für mehr als 3000 Kovariablen. Dazu kam ein Boosting Algorithmus mit Variablenselektion zum Einsatz. Die Betas der selektierten Variablen wurden extrahiert, getestet hinsichtlich Kausalität und Signifikanz, und daraus wurde die erste Version des Medical Graphen mit über 2000 Krankheitsknoten und 25.000 Effekt-Kanten gebaut. Der Graph wird aktuell in der Praxis getestet, mit dem Ziel, dem Arzt eine patienten-individuelle Entscheidungsunterstützung für die Behandlung zu geben.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. Executive
Summary
The Predictive Analytics World is the leading vendor
independent conference for applied predictive analytics
around industry 4.0. Business users, decision makers and
experts in predictive analytics will meet from 12th until 13th of
June 2018 in Munich to discover and discuss the latest trends
and technologies in machine & deep learning for the era of
Internet of Things and artificial intelligence.
3. Where AI meets IOT
Data and analytics are the two sides of the same coin. Without analytics data is worthless.
Without data analytics is useless. The same goes for IoT and AI. Without artificial intelligence the
gigantic amounts of sensor data produced by the Internet of Things devices will be worthless
because humans won’t be able to analyze it. Without the Internet of Things the artificial
intelligences will be useless because they would lack of training data for the machine learning
algorithms and the predictions and recommendations generated by the algorithms wouldn’t reach
the devices. To realize the vision of smart devices, smart factories or even smart cities, we need
smart algorithms that solve the challenges specific to industry 4.0 analytics, e.g.: enabling real-
time processing, combining edge and cloud computing, dealing with uncertainty and connectivity
issues, securing the data collection and transmission, and many more. Also, we need smart data
scientists who combine analytical expertise with industry domain knowledge. For this reason, we
invite you to participate as a speaker or visitor to the Predictive Analytics World Industry
conference and share your experiences, challenges and achievements with other participants.
5. Facts &
Figures
Predictive Analytics World in general:
Berlin 2017: +40 Sessions & +250
Participants
Global events series:
http://predictiveanalyticsworld.com
Further Information at:
http://www.predictiveanalyticsworld.de
6. Participant
satisfaction
"This is the second time we have taken part in
Predictive Analytics World and we were once
more extremely impressed by the quality of the
presentations. In addition, we managed to win a
prestigious customer at Predictive Analytics
World, so participation for us was doubly
worthwhile."
Dr. Michael Allgöwer, Head of Competence
Center Data Science, b.telligent GmbH & Co. KG
9. Topic proposals
Past lectures included the following
topics:
Predictive Maintenance &
Logistics
Anomaly Detection & Root
Cause Analysis
Fault Prediction & Failure
Detection
Risk Management & Prevention
Route & Stock Optimization
Industry & Supply Chain
Analytics
Image & Video Recognition
Internet of Things & Smart
Devices
Stream Mining & Edge Analytics
Machine ~, Ensemble ~ & Deep
Learning
Process Mining & Network
Analyses
Mining Open & Earth
Observation Data
Edge Analytics & Federated
Learning
… and many more related topics.
10. Presentation
formats
Keynote: A visionary lecture on a major topic in
the area of predictive analytics. 45-50 minutes
plus 10 minutes Q & A.
Case Study: Presentation of a concrete application
of predictive analytics in industry including clear
statements about the economic success of the
project. 25 minutes plus 5 minutes Q & A.
Deep Dive: Introduction to a specific technical or
analytical topic or guidance for a concrete
predictive analytics method or (open source)
tool. 50 minutes plus 10 minutes Q & A.
11. We are inviting service providers and product providers
to present their services and products to the professional
audience in sponsored sessions or sponsored deep
dives:
Sponsored Session: Presentation of your own product or
customer project by means of examples from the
customer's practice. 25 minutes plus 5 minutes Q & A.
Sponsored Deep Dive: Introduction or guidance on your
own product using practical and easy-to-understand
examples. No pure presentation - instead, active
discussion with the participants and / or the participants
can follow the examples on their own computer. 50
minutes plus 10 minutes Q & A. Max. 20 participants.
Presentation
formats for
sponsors
12. Tips for a successful abstract
Grab the visitor’s attention – with a short and concise title.
Like a good appetizer the abstract should leave you wanting more: it
should motivate the visitor to take part in your presentation.
Be concrete: Identify the problem, describe the solution and quantify
the benefits.
Make a promise: tell the visitor what he can take away from your
presentation for his work.
Examples from PAW16:
https://predictiveanalyticsworld.de/manufacturing/dusseldorf2017/
programm/
13. Tips for a successful
presentation
Not a sales show. Convince through your project, your
personality and your expertise.
Be open, honest and concrete: How did you solve the
problem? What did not work? How great is the benefit
in numbers? How did you validate the forecasts?
Simply begin at a level which is comprehensible for
everyone and increasingly enter into detail for the
experts.
Make space and take the time for substantive issues
and technical discussions.
14. 28. February 2018:
Deadline for
Abstracts
1. June 2018:
Presentations must
be submitted
12-13. Juni 2018:
PAW Industry in
Munich
Dates
15. Spread the news!
Share the buzz!
Predictive Analytics World Germany:
https://www.facebook.com/PAWDeutschland
https://twitter.com/PAWDeutschland
http://de.slideshare.net/PAWDeutschland
Predictive Analytics World International:
https://twitter.com/pawcon
https://www.facebook.com/pawcon
Twitter-Hashtag: #pawcon
16. Contact
Martin Szugat
Program Chair
Phone +49 176 1019 0176
Email martin.szugat@datentreiber.de
Web datentreiber.de
Sandra Finlay
Conference Director
Phone +49 8151 5566045
Email sandra.finlay@risingmedia.com
Web risingmedia.de
Editor's Notes
Martin Szugat ist Gründer und Geschäftsführer von Datentreiber [www.datentreiber.de]: einer Beratung für datengetriebene Unternehmen – und jene, die es werden wollen. Zu den Kunden von Datentreiber gehören Startups, mittelständische Firmen und Konzerne. Datentreiber ist seine zweite Unternehmensgründung. Zuvor war er Gründer und Geschäftsführer von SnipClip, einer Agentur für Social Media Marketing & Analytics-Lösungen. In seinen jungen Jahren hat er Bioinformatik studiert, im Bereich Machine Learning und Data Mining geforscht sowie als freiberuflicher Fachautor und IT-Berater gearbeitet. Seit 2014 betreut er außerdem als Programmdirektor die inhaltliche Gestaltung der Predictive Analytics World-Konferenz in Deutschland.