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Service provider > Data Research and Consulting services > Business Intelligence, knowledge management systems > Case Studies/Industry study reports> Technology Information - AI/NLP/ML
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Technology Information - AI/NLP/ML

   
 

Data Scientists are upskilling and reskilling to better understand and use AI and machine learning technologies, says new O’Reilly report
- 27 Aug 2019

O'Reilly, the premier source for insight-driven learning on technology and business, has announced the results of its upcoming Artificial Intelligence (AI) report, 'How Organizations are Sharpening their Skills to Better Understand and Use AI.' The report explores the data- and AI-related topics technology experts are most interested in learning as AI adoption in the enterprise continues to grow.

In reviewing consumption patterns and topic preferences of users on O’Reilly’s learning platform, the findings showed that those central to building AI applications increased the most, year-over-year, from 2018. Specific topics include machine learning (up 58%), data science (up 53%), data engineering (up 58%) and AI itself (up 52%). This rapid growth in consumption of content on these topics reveals that organisations and individuals are taking AI training and adoption seriously.

Echoing the results of O’Reilly’s ‘AI Adoption in the Enterprise’ survey issued earlier this year, this report suggests that a lack of skilled employees was a big barrier to organisations’ adoption of AI technologies. The report also found that adopting and sustaining AI and machine learning technologies will require businesses to upskill and retrain their workforces on relevant topics.

Designed to sharpen data scientists’ skills and understanding of AI and machine learning, O’Reilly and Intel will host the upcoming O’Reilly Artificial Intelligence Conference, taking place from September 9-12 in San Jose, Calif. Conference registration is now open.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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O’Reilly and Intel announce speaker lineup for 2019 Artificial Intelligence Conference
- 20 Aug 2019

O'Reilly, the premier source for insight-driven learning on technology and business, has announced the lineup of speakers presenting at the O’Reilly Artificial Intelligence Conference, presented with Intel. The event will take place from September 9–12 in San Jose, Calif. at the San Jose McEnery Convention Center. Through detailed case studies, technical sessions and trainings, the AI Conference will offer a unique opportunity to tap into the leading minds in AI and network with thousands of innovative researchers, data scientists, engineers, senior developers and executives across industries.

Together, Conference Chairs Ben Lorica (O’Reilly), Julie Shin Choi (Intel) and Roger Chen (Computable Labs), along with Honorary Co-Chairs Tim O’Reilly (O’Reilly) and Peter Norvig (Google), have created a conference program designed to help organisations successfully apply AI from both a business and technical perspective, covering emerging AI techniques and technologies.

Featured speakers include: Anuradha Gali, Uber; Paige Bailey, Google; Francesca Lazzeri, Microsoft; Roshan Sumbaly, Facebook; Michael Radwin, Intuit; Hagay Lupesko, Amazon Web Services; Haixun Wang, WeWork; Mike Jordan, University of California, Berkeley; Yi Zhang, Rulai and University of California Santa Cruz; and Alex Ratner, Snorkel AI.

In advance of the conference, O’Reilly will release a report, ‘How Organizations are Sharpening their Skills to Better Understand and Use AI,’ that explores the data- and AI-related topics technology experts are most interested in. The report, authored by Lorica, found that overall content usage across all topics, grew 8 percent from 2018 to 2019 (January to July). Among the fastest-growing topics were those central to building AI applications: machine learning (up 58% from 2018), data science (up 53%), data engineering (up 58%) and AI itself (up 52%), indicating that companies and individuals are taking AI training and adoption seriously.

O’Reilly and Intel will also host the second annual AI Business Summit, taking place in conjunction with the conference. Designed specifically for executives, business leaders and strategists, the four-day event provides concise, high-level executive briefings on the most promising and important developments in AI for business.

Registration for the AI Conference is now open.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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First ConTech Forum to focus on smart content with AI and machine learning, author led content marketing, modelling student data and more
- 11 Jun 2019

The ConTech Forum, scheduled for June 21 in London, will see speakers tackle the impact of AI, machine learning, data science and other emerging technologies on content creation, dissemination and consumption. Elsevier’s Jabe Wilson will talk about delivering answers from smart content with AI and machine learning. Sabine Louet from SciencePOD surfs the new content marketing wave. Daniel McCrea of Adaptemy will talk about modelling student data to improve educational content.

Delegates will also be able to explore the ConTech 2019 draft programme in a fully interactive session, their comments and input throughout the day will quite literally shape the event.

Join Ixxus, SPi Global, Jove, Wiley, Clarivate, Ontotext, Molecular Connections, IET, Benevolent AI, Scholarcy, Morressier, Chemical Watch, EBSCO and many more.

ConTech Forum offers the knowledge, the contacts and the experience to create a blueprint that will help navigate the future of content businesses. The full programme and speaker list is available online at https://contechlive.com/contech-forum-2019/.

You can book to attend the ConTech Forum for just £195 today or book to attend ConTech 2019 and come for free. Only a few spaces are left. Interested parties may visit ConTech Forum to book now. Limited ConTech Forum sponsorship opportunities are still available.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

SPi Global suite of AI-driven solutions promise to unlock new opportunities for content businesses
- 23 May 2019

SPi Global, the biggest content technology solutions company in the world and industry-leading provider of content-driven solutions, recently published a whitepaper titled, "Transform Content to Actionable Data and Unlock New Business Opportunities with AI." The whitepaper looks at how AI technology can help maximise the value of information assets for businesses in highly specialised domains.

The whitepaper highlights that strategic adoption of AI-built tools ultimately results in faster speed- to-market, cost reduction, and value creation for data-rich companies in the scientific, technical and medical publishing; risk and financials; and data services. The whitepaper discusses how AI-led tools have become indispensable as more businesses rely on valuable content to drive positive experience for customers. With AI, content-driven companies can streamline predominantly manual processes, such as content analysis, enrichment and classification.

SPi Global Chief Technology Officer Jishnu Gupta says that content businesses are just beginning to uncover possibilities through AI. "At SPi Global, we see AI as an augmentation for our deep subject matter expertise. With AI, professionals can accomplish more than they ever could before and improve the timeliness and quality of their content data," he shares.

In the whitepaper, SPi Global fully establishes that emerging and new-age technologies can provide companies with the ability to disseminate massive volumes of content, eliminate bottlenecks, and make informed and timely decisions to achieve untapped scale previously impossible prior to the AI boom. Showcasing SPi Global’s suite of revolutionary proprietary tools developed using machine learning (ML), natural language processing (NLP), and deep-learning methodologies, it underscores that with the right AI-built tools, companies can increasingly reduce the need for human manipulation in transformation processes of structured and unstructured data, thus improving accuracy, productivity, and revenue.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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Computer scientist, Dr. Aaron Halfaker, to keynote NFAIS 2019 Artificial Intelligence Conference
- 24 Apr 2019

Computer scientist, Dr. Aaron Halfaker, who gained significant media attention for his development of an artificial intelligence product that grades the quality of Wikipedia edits—the Objective Revision Evaluation Service (ORES)—will deliver the closing keynote address at the upcoming NFAIS conference, Artificial Intelligence: Finding Its Place in Research Discovery and Scholarly Publishing, on May 15-16, 2019 at Alexandria, VAs Hilton Old Town.

Dr. Halfaker is a senior scientist at the University of Minnesota and a principal research scientist at the Wikimedia Foundation, where he studies the intersection of advanced algorithmic technologies and social issues in open production communities using a mixture of experimental engineering, data science and ethnographic methods. With the recent growth of data informed design and engineering in online spaces, data science practices are now capable of answering social questions.

In his presentation, Halfaker will discuss Wikipedia’s most pressing and strategically important research questions, as well as how he and Wikimedia’s research team of 6 people are utilising artificial intelligence (AI) to solve skewed representation, retain newcomers, and manage volunteer disputes.

The NFAIS 2019 AI Conference explores the application and implication of AI across all sectors of scholarship, and how AI is changing the way we seek out, discover, interact with and benefit from scholarship. Attendees will learn how AI is being used by publishers, libraries, and content aggregators to create new products and increase value. Online registration is open through May 13, 2019.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

China set to become global leader in AI research, says new Elsevier report
- 11 Dec 2018

Elsevier, the information analytics business specialising in science and health, has released a new study, according to which, China is growing in importance as a global leader in Artificial Intelligence (AI) research, and there is an increasing trend of researchers moving from academia to industry, especially in the United States. This first-of-its-kind analysis charts Artificial Intelligence research trends across the world, with a focus on China, Europe and the United States, and finds a global 'brain drain' from academia to the private sector.

The report shows that, globally, AI research has accelerated, growing by more than 12 percent annually in the past five years (2013-2017), comparing to less than 5 percent for the previous 5 years (2008-2012). By contrast, research output overall, across all subject areas globally, has grown by 0.8 percent annually over the past five years (2013-2017).

The Elsevier analysis finds that industry in the United States attracts the most AI talent from both local- and international-academia. In Europe there's a stronger move of academic talent moving to non-European industry.

Over the last three years, the data shows Chinese academia attracting more AI talent than it is losing, confirming that the country is on track to establish a leading position in AI research. Having overtaken the United States in AI research output in 2004, China is set to overtake Europe and become the biggest source of AI research globally in the next four years, if the pace of current trends continues.

Another important revelation is that despite the increasing societal reference of AI and the media attention on the ethical implications of AI, academic research on the ethics of AI has been limited.

Reviewing 600,000 documents and over 700 field-specific keywords across four sectors - research, education, technology, and media - the semantic analysis reveals that the field of AI focuses on seven distinct research areas: Search and Optimization, Fuzzy Systems, Natural Language Processing and Knowledge Representation, Computer Vision, Machine Learning and Probabilistic Reasoning, Planning and Decision Making, and Neural Networks. Of these areas, research in Machine Learning and Probabilistic Reasoning, Neural Networks, and Computer Vision show the largest volume of research output and growth.

International mobility and collaboration patterns suggest that China operates in relative isolation from the wider research community. Europe is the largest and most diverse region in AI scholarly output (in terms of research areas within AI), with high and rising levels of international collaborations outside of Europe. In 2017, India was the third largest country in terms of research output in AI after China and the US. Iran is ninth in publication output, on par with France and Canada. Germany and Japan remain the fifth and sixth largest in AI research output.

Data used in the report comes from Elsevier's Scopus, Fingerprint Engine, PlumX, ScienceDirect, and SciVal, RELX's TotalPatent, and further draws on public sources, including dblp, arXiv, Stanford AI Index, kamishima.net, and Kaggle, as well as datasets provided by the Institute of Automation, Chinese Academy of Science.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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Learning House releases research brief on Artificial Intelligence in Higher Education
- 07 Dec 2018

Learning House, a Wiley brand and an online program manager, has released Artificial Intelligence in Higher Education, a research brief summarising AI developments in higher education. The paper explains how universities may use AI at their institution in the future and includes recommendations on how to prepare for potential changes that may transform standard processes.

The brief assesses current, future and in-development opportunities for AI in four areas: student acquisition; learning and instruction; student affairs; and institutional efficiency. Across all four sectors, the authors expect that AI will have a positive influence on higher education by improving outcomes and helping institutions scale quality education for their students.

In addition, the report highlights how AI will affect what students need to learn and any additional certificates or degrees universities should offer to meet this need and suggests necessary policy changes to fully realise those benefits. The brief features four case studies of higher education institutions piloting or implementing AI technology as well as highlighting more than a dozen specific AI-related tools or systems that are either in development, testing or already in use in universities around the globe.

In order for university leaders and administrators to make those decisions, the report encourages institutions to consider: When to implement AI (short- or long-term); In what areas of the institution AI would be most helpful; How to protect students' privacy while using data to help them; and What the university's definition of success is regarding AI implementation.

The report also highlights the important policy guidance and recommendations that are likely to accelerate AI innovation or, if unrealised, stifle its growth and adoption. For example, the Family Educational Rights and Privacy Act (FERPA) last updated in 2001, predates many common education technologies including smartphones, tablets, wireless data, MOOCs and even online education programs in general. The brief also cites necessary changes to policies on data security and accreditation.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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CCC’s Álvaro Garcia Neto to address how artificial intelligence impacts discoverability at 2018 BioData World Congress
- 21 Nov 2018

Copyright Clearance Center, Inc. (CCC) has announced that Vice President of Engineering and Professional Services Álvaro Garcia Neto will be speaking at BioData World Congress 2018 on how Artificial Intelligence (AI) and powerful federated search engines can improve discoverability for researchers and provide better results.

With 2.5 million scientific papers published annually (and growing), researchers today are overwhelmed by published information. However, the mismatch between the amount of published information and the ability to consume it creates a serious discoverability problem that hampers knowledge-based enterprises. Standard AI techniques have been used across industries for years, and those same techniques can enable federated search to be context-aware and surface results that are personalised.

At CCC, Garcia Neto is responsible for driving the design and implementation of advanced technology to empower customers with sophisticated knowledge management solutions, enabling them to integrate, organize, enrich, and mine the vast amounts of information within their ever-increasing digital assets.

The session, titled 'Answering the Unasked Question - How AI Impacts Discoverability- is scheduled for November 29, 2018 at 14:30 hrs at Basel Congress Center, Basel, Switzerland.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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SPi Global to highlight AI, Machine Learning in Content Production at the Digital Book World 2018
- 02 Oct 2018

Content technology solutions provider SPi Global is set to talk about a more comprehensive view of AI and Machine Learning technologies in content production at the Digital Book World 2018.

To be held in Nashville, TN on October 2 to 4, the Digital Book World convenes publishers, authors, content developers and service providers, to share and discuss insights, trends and best practices in the publishing industry.

Speaking in a panel discussion for the Production Book World Track, John Prabhu, SVP for Technology Solutions at SPi, will shed light on the role of emerging technologies in guiding the future of producing content. The panel session, scheduled for Oct. 2, from 3:45 to 4:30 p.m., will delve into what's real, what's the use case scenario of AI / ML in content production, and how new-age computing will affect publishers, large and small.

According to Mr. Prabhu, “Machine learning adds another layer of automation in the content production delivery value chain by learning, studying and improving algorithms from large volume of content sets. By adopting these principles, SPi is able to provide increased efficiency, rapid analysis & predictions, faster time-to-market, and most importantly process optimization and cost efficiencies to clients.”

SPi Global’s 38-year domain experience and its content technology solutions capabilities will also bring to the fore the benefits that AI/ML can offer. During the case study presentation at the DBW Theater (located within DBW Exhibit Hall) on Oct 2 from 12:30 to 1:00 p.m., Mr. Prabhu will share how SPi has been the preferred partner of choice to implement end-to-end solutions including digital workflows, data intelligence & analytics, eLearning, Editorial and Customer experience solutions.

“Aside from increased productivity and accuracy, benefits of AI and ML technologies can also help to make better and faster decisions with complex data structure, and therefore adapt to the constantly changing needs of our customers,” adds Mr. Prabhu.

Known for combining subject matter expertise with technology development, SPi Global is a market-leading content technology solutions company, providing end-to-end solutions to the world’s biggest books, journals and digital publishers in highly specialized industries, including scientific, medical and technical research; education and learning; media and retail; and corporate markets.

To book a meeting with John Prabhu at the Digital Book World 2018, email john.prabhu@spi-global.com, or drop by their exhibit area at Booth 507.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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Scope-Anna University collaborative work on a ML and NLP based algorithm for keyphrase extraction from unstructured text presented at NLDB 2018
- 31 Jul 2018

Scope e-Knowledge Center (Scope), an SPi Global Company, and Anna University have announced that a collaborative work on a Machine Learning (ML) and Natural Language Processing (NLP) based algorithm for keyphrase extraction from unstructured text, entitled "A Supervised Learning to Rank Approach for Dependency Based Concept Extraction and Repository Based Boosting for Domain Text Indexing" was presented during the 23rd International Conference on Natural Language & Information Systems (June 13 - 15, 2018, Paris, France). The presented work is published and available online at https://link.springer.com/chapter/10.1007/978-3-319-91947-8_44.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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