AI, Blockchain and data science – the next evolution of the knowledge economy
Max will explore the role of Artificial Intelligence, Blockchain and data science in the next evolution of the knowledge economy. What are the implications for publishers and content people as the knowledge economy evolves towards a distributed, self-learning, and intelligence based future? How can publishers and content people thrive in this new world where centralised and process driven publishing is replaced by more fluid models
CDO, Taylor & Francis and Managing Partner, Informa Ventures
Panel Session – Panel
10:45 – 11:45
Managing bias and protecting truth in the world of data-driven content
Senior Policy Adviser – Data Ethics / Data Strategy, UK Department for Digital, Culture, Media and Sport
Data-driven content product demos
12:15 – 13:00
Learn about, assess and discover which products have the potential to have the biggest impact on the creation, distribution and consumption of professional content.
Lunchtime Special Session
13:15 – 13:45
Pharma 4.0: Embracing Opportunities for Information in a Digital Healthcare World
Helen Malone is Director of the Information Hub at GlaxoSmithKline (GSK) and President of the Pharma-Documentation-Ring (PDR), an international forum of the Heads of the Scientific Information Departments for 27 of the leading pharmaceutical companies in the world. Helen will reflect on the achievements of 60 years of the PDR and look to the future of information in a digital healthcare world. Specifically, Helen will highlight the impact of the explosion of global data. She will provide examples that illustrate how we, as information professionals, are uniquely positioned to collaborate and lead the opportunities that arise from the intersection of technology, data and science to generate knowledge and insights for our organisations.
Director of the Information Hub at GlaxoSmithKline (GSK) and President of the Pharma-Documentation-Ring (PDR)
Harnessing the power of large data-rich knowledge sets
14:00 – 15:00
Harnessing Artificial Intelligence to power data management
All organizations face the challenge of organizing their data, both their own repositories and that which they disseminate. Heads of Content, Librarians, Publishers and Data Scientists are often tasked with this unique challenge. Artificial Intelligence as a solution to this challenge is an increasingly popular topic and has been deemed by some to be the future of data management. Yewno Unearth uses AI technology to provide a deeper level of categorization to documents and helps content specialists to better ascertain which data is valuable and which is not. Yewno Unearth’s topic model provides topics, sub topics and over 6 million concepts which can be applied to any item of content, helping to understand at a granular level exactly what the item is about. These details can help sales and marketing, acquisitions and a broad range of functions within publishing and also librarians putting together course lists and helping to make collections decisions. Yewno Channel Partner Manager Manisha Bolina will give a demo of this compelling new product and will discuss practical use case scenarios.
Channel Partner Manager, Yewno, Inc
Building an open repository for scientific institutions to analyse and process data
With the large amount of data available on the Internet and the rise of the Semantic Web (Web 3.0), institutions still face nowadays major challenges regarding the management of their data. However, several standards have been developed concurrently, and it is difficult to design bridges between every single one.
Moreover, it is often striking to see the discrepancies that exist between solutions to store data into complex databases, solutions to harvest and store new documents, and solutions to visualize them in a user-friendly way.
To help institutions overcome technical and budgetary hurdles, MyScienceWork launched PolarisOS, an open data repository designed to analyze and process data. This is a major technological breakthrough to improve data management, analyze research impact, and better user experience. PolarisOS integrates into the ecosystem of research institutes by recovering/exporting all types of data (scientific, technological, financial, and managerial) to and from their existing information systems to organize, refine, and enrich it.
Furthermore, MyScienceWork developed a tool called Sirius: an analytics dashboard tailored to the needs of funders, publishers, and evaluation agencies. The MyScienceWork expertise is based on technologies like artificial intelligence, machine learning, and visualization. New technologies directly impact the scientific world, and MyScienceWork provides tools to understand it. This has the potential empower those in top management to make educated decisions on behalf of publishers, laboratories, and publics sectors.
Director Innovation & Business Development, MyScienceWork
Using data science techniques to enrich published and legacy content
14:00 – 15:00
Director, Platform Capabilities at John Wiley and Sons
Identifying new knowledge by applying state-of-the-art methods in AI and machine learning
Technology, and particularly AI, is leading to the emergence of the ‘augmented researcher’. As our understanding of AI grows, how we apply it will become even more sophisticated; and thus, even more beneficial to researchers. Data scientists from Elsevier are now collaborating with various academic institutes and medical centres to identify new knowledge by applying state-of-the-art methods in AI and machine learning. For example, 1) in the field of Organic Chemistry by collaborating with Prof. Waller from Westfälische Wilhelms-Universität Münster, Germany & Singapore we are building an AI system that can predict retrosynthetic reaction by training deep neural networks with experimental reaction data from the Reaxys database. 2) with Dr. Broderick from Rochester medical centre, US, we are mining millions of published papers using NLP techniques to create networks of tightly choreographed connections between different biological molecules and cells. However, with static representation of these networks, understanding range of biological systems and diseased state is challenging. Therefore, by combining the abundant static regulatory data with time series expression we are simulating dynamic representations for these networks where we can test our understanding and evaluate solutions in silico. Also, these simulations can be used to reveal possibilities for better combination therapies for complex illnesses.
Leveraging AI to deliver actionable intelligence for the research ecosystem
The global research ecosystem is churning out content at an unprecedented pace and it is dispersed across a variety of outputs such as publications, grants, patents, and clinical trials. It is becoming more challenging every day to evaluate the impact of its activities and has become humanly impossible today to stay at pace with the developments happening around us.
In this age, how can someone involved in breakthrough research, whether producing, funding, publishing or commercialising it, stay abreast of the developments and trends in the field. How can one confidently determine who are the leading researchers and institutions around the world in a field that may have just emerged in the last couple of weeks, or simply what is the most critical research published on a research topic yesterday. Organisations and individuals in the research ecosystem want to evaluate, benchmark and optimise their research performance, discover emerging research frontiers on the horizon, and identify powerful collaboration opportunities around the world. The answers to these questions can be found in terabytes of disparate and disconnected datasets spread across publications, grants, patents, clinical trials and ever growing sets of research outputs and indicators. Do all of us then need data scientists with doctorate degrees to analyse and monitor the global research landscape?
In this session, Sadia Shahid (Head of Business Development at wizdom.ai), will take the audience through the development of wizdom.ai, a research intelligence service that harnesses the power of Artificial Intelligence through machine learning and natural language processing to bring together a holistic view of the disparate and burgeoning research universe. wizdom.ai aims to not only help organisations become more data centric, but also delivers those organisations a competitive advantage in a rapidly transforming industry.
Head of Business Development, wizdom.ai
Appraising the opportunity for automated content creation and distribution
15:00 – 16:00
Bringing AI into the newsroom
Having brought artificial intelligence into hundreds of newsrooms around the world, Echobox founder and CEO Antoine Amann will share his unique insights into how digital media can harness the potential of technology. Echobox is the first company to use an AI-first approach for social media management, with an AI specifically designed for publishers.
CEO & Founder, Echobox
‘JAMES, your digital butler’ – collaborative project from The Times & The Sunday Times and Twipe
‘JAMES, your digital butler’ is a collaborative project from The Times & The Sunday Times and Twipe. JAMES will enable individualized distribution of the digital editions and accelerate digital growth. Using machine learning and AI, JAMES will gradually get to know the habits, interests, and preferences of readers. He will expose them to relevant content from current and past editions in the readers’ preferred formats, channels, times, and frequencies. This will increase reader satisfaction and engagement and ultimately accelerate subscription growth.
JAMES will transform conversion and engagement strategies to drive subscription growth by moving from segmented to highly individualized interactions with readers. JAMES will provide subscribers with tailored experiences fuelled by machine learning and artificial intelligence, using entirely new creative content formats. This will result in higher satisfaction and increased product engagement, and a decrease in the churn rates on digital subscriptions.’
What do AI and NLP have to do with content creation automation?
AI, NPL and blockchains are buzzwords that seem to pervade every conference programme related to content. The reality is that the science publishing industry has been rather slow in adopting these technologies in their existing editorial processes. In this presentation, CEO of digital publishing platform SciencePOD will share her journey on the path to automating the complex editorial processes that are required to create quality content, such as the creation of news stories explaining the meaning of research papers in simple language, using AI and NPL. Based on examples of specific products under development she will map out how she had to navigate the AI landscape and differentiate actual practically usable solutions and select them among the hype.
Delivering value by liberating the hidden data within your content
14:00 – 15:00
Content performance: data, experimental data and statistics
Wouldn’t it be great if you could have all the data for any given content object at your fingertips so that you can determine its price vs. performance, or see where it’s being used effectively and where it’s never been viewed? Or perhaps you want to experiment to test your assumptions about new revenue opportunities?
The ability to capture sufficient data points spanning the whole content lifecycle requires bringing together data and events from many different sources. With enough measures in place, it can be possible to determine which are the most impactful factors for content discovery and consumption within your environment.
In this talk we’ll introduce the Content Insight Wheel, a tool that helps provide a holistic view of the content object and related data sets which can be used for effective analytics programmes that underpin the shift to data-driven publishing
Senior Publishing Consultant, Ixxus
Using modern content technologies to extract value and drive change across an industry
Many national and international standards bodies, including NEN, have existed for more than a hundred years and nothing much had changed in how standards were developed and distributed. But as industry goes through a massive digital transformation and the end-user of standards has become increasingly voluble, it has become clear that the standards industry is ripe for change.
Valuable information is locked away in difficult to access content formats and distributed as monolithic documents. The traditional models in standardization for content creation, management and delivery do not support a data-driven economy.
Hear from Jo how, at NEN (Netherlands standardization institute), together with other standards bodies, they are increasingly focusing on end-user needs, piloting new models for standards content creation and using modern content technologies to deliver more value to customers and to change perceptions in order to refocus a global industry on what the customer needs in the data-driven economy.
NEN – Netherlands Standards Association
Searching by example – bringing semantic similarity to document search with Sage Matchmaker
A common challenge with information retrieval is that a user may not know how to phrase their search query optimally. The user might not know a keyword’s synonyms, related concepts, how to add the correct context or operators to the query, how to combine multiple concepts in the same search, or even know how to describe what it is they are looking for. Searching by example is one solution to the problem: take this example content and show me more content like it. Originally a new frontier in open web search, searching by example has taken off in some areas, such as image search and content recommendation, but the promise of using a document as a search query has not really been delivered. This talk examines how SAGE Matchmaker allows internal teams to search the full text of SAGE content using semantic similarity to an example document, and the value that this adds to its editorial, sales and marketing efforts.
Information Architect SAGE Publishing
The ConTech Data Science Premium.
The conference delegation will work together in facilitated groups reviewing the conference content specifically looking at:
The opportunities that data driven content strategies can offer
The threats posed, factors to manage and areas to focus on in the coming months
The best ways to realise value in the next year
Delegates can leave the conference with a clear understanding of their own data science premium target.
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