Reflections on Innovation Intelligence

Here I am writing at the Big Data LDN 2023 event in September 2023, which seems an auspicious place to start this newsletter.

The event really mirrors my intention of bringing together folks and topics around how we apply technology, algorithms, data, expertise and intuition to achieve meaningful innovation and better outcomes for the world! Lots of interesting discussions at the event. More on that later.

A quick plug for the event. RELX and our businesses are proud to be sponsoring and exhibiting at?Big Data London?(#BigDataLDN), an RX event, on September 20-21, 2023, held at Olympia in London. Big Data LDN is the UK’s leading free to attend data, analytics & AI conference and exhibition.Leaders from across RELX will be speaking throughout the event. If you are local to London, please join us at Stand X531. You can secure your free spot to attend #BigDataLDN?here: https://lnkd.in/ewyy4AqZ..

#bigdata #innovation #analytics #insights

Upcoming

In the coming months this newsletter will be looking at the developments related to Elsevier Innovation Intelligence specifically; and at the same time will focus broadly on the wider sense of Reflecting on Innovation Intelligence. That is how we apply various technologies and capabilities variously described as 'intelligent' to achieve Innovation.

Reflection has the sense of both thinking about a topic, and also mirroring it and bringing it to your attention. This newsletter will be doing just that. The articles and posts will be tagged #ReflectionsOnInnovationIntelligence and #ElsevierInnovationIntelligence

I will start by reposting a recent article that I wrote to highlight : Elsevier Innovation Intelligence.

We are Elsevier’s Innovation Intelligence

You can see some of our work described on our website here: https://beta.elsevier.com/industry

#ElsevierInnovationIntelligence

Who do we work with, and what do they gain?

In essence, we are focussed on those R&D intensive companies who need to ensure that business-critical decisions are based on information that is reliable and actionable. Watch the video, here: video

Why is what we do at Elsevier Innovation Intelligence so important?

Improved outcomes across a wide range of industries, click on the links below for industry specific information on :

·?????? Pharmaceuticals

·?????? Chemicals & Materials

·?????? Medical Devices

·?????? Energy & Natural Resources

·?????? Measuring & Sensing

·?????? Nutrition

·?????? Agriculture

·?????? Consumer Goods

·?????? Semiconductors

·?????? Electric Power

Because we help companies improve outcomes by illuminating and transforming scientifically validated data at every stage of the innovation workflow with tools, data, and technology that lead to:

? Improving effectiveness – enabling scientific insights that lead to actionable decisions to meet market demand

? Reducing risk – ensuring companies have the information they need to avoid patent infringement or late failing projects

? Maximizing efficiency – helping R&D professionals innovate faster, optimize production, reduce costs, and eliminate downtime

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What is so special about Elsevier Innovation Intelligence does?

?The way in which we respond to our customers’ needs, is arguably unique.We combine expertise in both the subject-matter of an area and data science required to enable the insights that drive innovation forward. Subject-matter expertisemeans we understand science and R&D processes. Data science expertise means we know how to enrich, analyze, and use scientific data, giving our customers the critical perspective they need, when they need it.

The evidence I say is most compelling, watch the videos and read more from the links below:-

User Tools - https://beta.elsevier.com/solutions/user-tools

Designed in cooperation with R&D professionals, these are trusted, indispensable resources with proven track records. Created for expert users to provide access to relevant and timely decision-critical data.

Datasets - https://beta.elsevier.com/solutions/datasets

Enriched standard and customized datasets to meet specific customer requirements.

Data enrichment - https://beta.elsevier.com/solutions/data-enrichment

Tools and services to transform data so it’s decision-ready for analytics.

Data analytics - https://beta.elsevier.com/solutions/data-analytics

Tools for expert users including knowledge graphs, predictive tools, and search indexes.

• ?Semantic Search from SciBite Search, watch the video: Video
• ?Knowledge Graph from EmBiology, watch the video here: Video

Read more here: https://beta.elsevier.com/products/embiology

• Predictive Analytics Artificial Intelligence from Reaxys Predictive Retrosynthesis, see the video here: Video

And read more here: https://beta.elsevier.com/products/reaxys/predictive-retrosynthesis

• Not to mention, Scopus AI in Alpha (an Augmented Language Model), watch the video here: Video

And read more here: https://beta.elsevier.com/products/scopus/scopus-ai

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Expert support

Support for getting the most out of our User Tools, Datasets, Data Enrichment and Data Analytics. https://beta.elsevier.com/solutions/expert-support

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This autumn I will be speaking more about this here on linked-In (https://www.dhirubhai.net/in/jabewilson/), #ElsevierInnovationIntelligence

Later this week I will be at the Big Data London event in discussion with folks across industry who exemplify the second of these strengths – Data Science.

?Hope to see you at the event: https://bigdataldn.com

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#DigitalTransformation

#ReflectionsOnInnovation

#BigData

#ArtificialIntelligence