News ConTech 2019 launches themes and call for speakers
ConTech 2019 is aimed at information providers and content owners who increasingly have to address the challenges of competing in a data world, driven by machine learning, artificial intelligence and other emerging technologies. The event on 5/6 December at the Millennium Gloucester Hotel in London (pictured) is aimed at helping organisations assess their organisational and product data maturity. It will explore how data science and analytics are changing the world, by driving data informed decisions made by people and, in some cases, machines. Core themes will include:
• The intersection of content, data and technology is changing the landscape – what data science tools and techniques can you adopt to improve content creation, management and delivery? What role do artificial intelligence, machine learning and deep learning have in developing the next generation of content products? What does a good content project built around data look like today? What will the content
of projects that have deliverable measurable benefits?
• Data communication and visualisation – our programme will explore the critical importance of these disciplines. We will look at how data analytics projects can fail or not have the desired impact – and in this theme we can talk about the right staffing and organisational structures, as well as data visualization techniques. ConTech 2019 will introduce a poster ‘gallery’ to further provide examples of this point; and
product of the future be?
• Demonstrating the value of AI? What choices do you make? – Organisational, staffing, cultural directions to pursue to How do you manage the cultural issues of bringing content and data specialists together? How do you develop a culture that embraces data? How can your content teams become rapid and flexible enough to exploit the opportunities of richer data?
• What does a good data-driven content project look like? What are the lessons
Google boosts academic research presence
Google Cloud Platforms (CGP) aims to build its presence in academic research with two agreements and initiatives in the US and in Europe. GCP has completed an
agreement with GÉANT, the research and education platform with 50 million users at 10,000 European institutions. Google’s new agreement
with GÉANT allows for broader collaboration across the wide network, offering GÉANT members special educational discounts to access GCP. Andres Steijaert, project
leader for cloud services at GÉANT, said: ‘We are delighted that Google Cloud Platform is joining the GÉANT Cloud Portfolio and can now be used easily via a ready-to-use agreement, through GÉANT. The machine learning and AI features open up a wide range of exciting opportunities for education and research.’ Together scientists,
educators, IT leaders and the 50 Research Information April/May 2018
38 National Research and Education Networks (NRENs) in GÉANT can now make direct Google connections at reduced cost, to put their data to work to discover meaningful insights with the potential for global impact.
GCP will be available to
GÉANT member institutions through Cloud Technology Solutions (CTS), one of the world’s largest cloud infrastructure experts. Meanwhile, the National
Science Foundation (NSF) and Internet2, a computer networking consortium, have partnered with commercial cloud providers including GCP, to accelerate scientific discoveries and promote collaboration. The first project, Exploring Clouds for Acceleration of Science (E-CAS), invites proposals to investigate the benefits of large- scale computing for scientific workflows – such as leveraging faster processing speeds, machine learning, serverless
applications, and real-time analytics. ‘Our investments in E-CAS, Campus Cyberstructure (CC*) and related efforts aim to enable access to cloud computing services by the broader science and engineering community that NSF supports,’ said Manish Parashar, director of the Office of Advanced Cyberinfrastructure at NSF. ‘We see cloud resources as a vehicle to allow the community to leverage innovative technologies and capabilities to significantly accelerate research and education.’ Other research initiatives
include: l
Supporting innovative programmes in government agencies like the Division of Research, Innovation and Ventures (DRIVe), established by the Biomedical Advanced Research and Development Authority for entrepreneurial solutions to urgent public health challenges. Using GCP, a research team at Emory
University’s school of medicine built deep learning software to predict the onset of sepsis in hospitalised patients.
l
Now DRIVe can help develop that platform to reduce the 270,000 deaths from sepsis in the US each year; improving infrastructure through programmes like Cloud Exchange and Cloud Connect that allow researchers to access GCP’s Dedicated Interconnect network for high-capacity and secure data paths; updating existing funding programmes to include cloud resourcing, such as the CC* program which improves networks and platforms academics rely on for data- intensive projects; and
l
Expanding GCP research credits programme, previously available to academic researchers in 30 countries, to include Norway and India. All academics from qualified regions are encouraged to apply.
@researchinfo |
www.researchinformation.info
• Data ethics and innovation – How do you adopt a more data-driven approach to your content, while maintaining the trust of your users? What is best practice in data ethics and how does it impact your reputation? How might geo-politics impact future innovation? Will the ‘data permissive’ own the future? How can we responsibly use data? Where is the balance?
Visit
www.contechlive.com for more details and to submit a proposal. The submission deadline is 29 March. There are pre-agenda registration rates available.
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52
