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The editors at Solutions Review have curated this list of the most noteworthy analytics and data science news items for the week of August 12, 2022.

Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last month, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

The Anaconda and Oracle Cloud Infrastructure Partnership will offer open-source Python and R tools and packages by embedding and enabling AnacondasrepositoryacrossOCI Artificial Intelligence and Machine Learning Services. Customers have access to Anaconda services directly from within OCI without a separate enterprise license.

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The annual Industry Excellence Awards acknowledge vendors who have achieved leadership position in the companys 2022 Wisdom of Crowds Analytical Data Infrastructure (ADI), Business Intelligence (BI), and/or Enterprise Performance Management (EPM) Flagship Market Studies. The reports are based on data collected from end-users and provide a broad assessment of each market.

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insightsoftware plans to leverage the Dundas platform to enhance its existing Logi solutions, notably adding a strong extract, transform, and load (ETL) engine and pixel perfect reporting. The Dundas solution is a flexible, end-to-end BI platform that offers software providers the ability to customize dashboards, reports, and visualizations. It was designed to operate as a one stop shop for self-service analytics, with integration into multiple data sources.

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Adding BigSquare to the Litera solutions portfolio will empower law firms to make better financial decisions with fast access to financial data and insights. BigSquares BI software retrieves, analyzes, and visualizes financial data onto a configurable financial intelligence dashboard that is easy to digest and understand. Lawyers and management teams can leverage the practical insights themselves, reducing the need to hire or rely on specialists to interpret the data.

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The report is based on a survey of 500 data and technology leaders, across a variety of industries, who are managing active data workloads of 150 terabytes or more. The purpose of the survey and report is to uncover key trends around how organizations are managing the shift from big-data volumes toward ingesting, storing, and analyzing hyperscale data sets, which include trillions of data records, and the expected technical requirements and business results from that shift.

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TheNet Emotional Footprint (NEF)of each software provider is a result of aggregated emotional response ratings across the areas of service, negotiation, product impact, conflict resolution, strategy, and innovation. The NEF is a powerful indicator of overall user sentiment toward the provider and its product from the software users point of view.

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The new updates include additions to Vertas native integration ecosystem and subsequent capabilities around enterprise security, privacy and access controls, model risk management, and the pursuit of responsible AI. Verta was recently recognized as a 2022 Gartner Cool Vendor in AI Core Technologies.

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For consideration in future analytics and data science news roundups, send your announcements to the editor: tking@solutionsreview.com.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

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Analytics and Data Science News for the Week of August 12; Updates from Anaconda, insightsoftware, Verta, and More - Solutions Review

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Ocient, a leading hyperscale data analytics solutions company serving organizations that derive value from analyzing trillions of data records in interactive time,released a report, Beyond Big Data: The Rise of Hyperscale. The report is based on a survey of 500 data and technology leaders, across a variety of industries, who are managing active data workloads of 150 terabytes or more. The purpose of the survey and report is to uncover key trends around how organizations are managing the shift from big-data volumes toward ingesting, storing and analyzing hyperscale data sets, which include trillions of data records, and the expected technical requirements and business results from that shift.

The survey was conducted in May 2022 by Propeller Insights. Respondents include partners, owners, presidents, C-level executives, vice presidents and directors in many industries including technology, manufacturing, financial services, retail, and government. Their organizations annual revenue ranges from $50 million to $5 billion. Approximately 50% of respondents represent companies with annual revenue greater than $500 million.

Key findings of the survey include:

Extraordinary data growth

Data is growing at an extraordinary rate. According to John Rydning, research vice president of the IDC Global DataSphere, a measure of how much new data is created, captured, replicated, and consumed each year, The Global DataSphere is expected to more than double in size from 2022 to 2026. The Enterprise DataSphere will grow more than twice as fast as the Consumer DataSphere over the next five years, putting even more pressure on enterprise organizations to manage and protect the worlds data while creating opportunities to activate data for business and societal benefits.

IDC Global DataSphere research also documented that in 2020, 64.2 zettabytes of data was created or replicated and forecasted that global data creation and replication will experience a compound annual growth rate (CAGR) of 23% over the 2020-2025 forecast period. At that rate, more than 180 zettabytes thats 180 billion terabytes will be created in 2025.

The survey respondents reflect forecasts of such exponential data growth. When asked how fast the volume of data managed by their organization will grow over the next one to five years, 97% of respondents answered fast to very fast, with 72% of C-level executives expecting the volume to grow very fast over the next five years.

Barriers to supporting data growth and hyperscale analytics

To support such tremendous data growth, 98% of respondents agreed its somewhat or very important to increase the amount of data analyzed by their organizations in the next one to three years. However, respondents are experiencing barriers to harnessing the full capacity of their data and cited these top three limiting factors:

When asked about their biggest data analysis pain points today, security and risk ranked first among C-level respondents (68%), with metadata and governance (41%) and slow data ingestion (31%) being two other top concerns. When scaling data management and analysis within their organization, 63% said maintaining security and compliance as data volume and needs grow was a challenge they are currently facing.

Survey respondents also indicated legacy systems are another source of pain and a barrier to supporting data growth and hyperscale analytics. When asked if they plan to switch data warehousing solutions, more than 59% of respondents answered yes, with 46% of respondents citing a legacy system motivating them to switch. When ranking their most important considerations in choosing a new data warehouse technology, modernizing our IT infrastructure was ranked number one.

Faster data analytics improve decisions, revenue and success

The survey respondents believe hyperscale data analytics is crucial to their success. Sixty-four percent of respondents indicate hyperscale data analytics provides important insights used to make better business decisions, and 62% said it is essential for planning and strategy.

The survey respondents also indicated there is a strong relationship between implementing faster data analytics and growing the companys bottom line. When asked about this relationship, an overwhelming 78% of respondents agreed there is a definite relationship. For the C-level audience, more than 85% cited the relationship.

Data analysis is no longer a nice-to-have for organizations. Hyperscale data intelligence has become a mission-critical component for modern enterprises and government agencies looking to drive more impact and grow their bottom line. With the rapid pace of growth, its imperative for enterprises and government agencies to enhance their ability to ingest, store, and analyze fast-growing data sets in a way that is secure and cost effective, said Chris Gladwin, co-founder and CEO, Ocient. The ability to migrate from legacy systems and buy or build new data analysis capabilities for rapidly growing workloads will enable enterprises and government organizations to drive new levels of agility and growth that were previously only imaginable.

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The World is Moving Beyond Big Data, According to Ocient Survey of 500 Data and Technology Leaders - insideBIGDATA

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Natural zeolite mineral originating from Croft Quarry in Leicester, England

Jeffrey Rimer, Abraham E. Dukler Professor of chemical and biomolecular engineering at the University of Houston, has summarized methods of making zeolites in the lab and examined how the emergence of data analytics and machine learning are aiding zeolite design.

If science and nature were to have a baby, it would surely be the zeolite. This special rock, with its porous structure that traps water inside, also traps atoms and molecules that can cause chemical reactions. Thats why zeolites are important as catalysts, or substances that speed up chemical reactions without harming themselves. Zeolites work their magic in the drug and energy industries and a slew of others. With petrochemicals, they break large hydrocarbon molecules into gasoline and further into all kinds of petroleum byproducts. Applications like fluid catalytic cracking and hydrocracking rely heavily on zeolites.

So important is the use of zeolites that decades ago scientists began making them (synthetic ones) in the lab with the total number of crystal structures exceeding 250.

Now, an undisputed bedrock in the global zeolite research community, Jeffrey Rimer, Abraham E. Dukler Professor of chemical and biomolecular engineering at the University of Houston, has published a review in the Nature Synthesis journal summarizing methods over the past decade that have been used to prepare state-of-the art zeolites with nano-sized dimensions and hierarchical structures.

The findings emphasize that smaller is better and structure is critical.

These features are critical to their performance in a wide range of industrial applications. Notably, the small pores of zeolites impose diffusion limitations for processes involving catalysis or separations where small molecules must access pores without obstruction from the accumulation of residual materials like coke, which is a carbonaceous deposit that blocks pores, reports Rimer. This calls for new methods to prepare zeolites with smaller sizes and higher surface area, which is a challenging task because few zeolites can be prepared with sizes less than 100 nanometers.

The review article summarizes advanced methods to accomplish this goal, including work from Rimers own group on finned zeolites, which he invented. Zeolites with fins are an entirely new class of porous catalysts using unique nano-sized features to speed up the chemistry by allowing molecules to skip the hurdles that limit the reaction.

Rimer also examines how the emergence of data analytics and machine learning are aiding zeolite design and provides future perspectives in this growing area of research. That helps make up the new methods that Rimer suggests as imperative, resulting in major advantages of infusing computational and big data analyses to transition zeolite synthesis away from trial-and-error methodologies.

Besides, speeding up the process of crystallizing zeolites, and speeding up the reactions of the zeolites themselves, will result in many socioeconomic advantages, according to Rimer.

Improved zeolite design includes the development of improved catalysts for energy applications (including advancements in alternative energy), new technologies for regulating emissions that impact the environment and separations to improve industrial processes with impact on petroleum refining, production of chemicals and water purification, he said.

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Building the Best Zeolite - University of Houston

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Job description

This is an exciting opportunity for a data scientist with strong musical sensibilities to play a key role in the development of computational tools for remodelling music expressivity to achieve specific cardiovascular (autonomic) aims. The objectives will be to design and implement techniques to morph expressive music parameters in ways that powerfully impact listener perception and physiology in targeted ways, to evaluate these strategies and their effectiveness, and to develop algorithms to analyse users design decisions to learn from their choices.

The work will be carried out in the context of the ERC project COSMOS (Computational Shaping and Modeling of Musical Structures), augmented by the Proof-of-Concept project HEART.FM (Maximizing the Therapeutic Potential of Music through Tailored Therapy with Physiological Feedback in Cardiovascular Disease), on citizen/data science approaches to studying music expressivity and on autonomic modulation through music. See https://doi.org/10.3389/fpsyg.2022.527539.

The remodelled expressions will be rendered synthetically or through the projects reproducing piano. Effectiveness of the expression remodelling at achieving the physiological aims will be tested on listeners, for example, through the HEART.FM mobile app tracking their physiology whilst they listen to the remodelled music. Successful transformations will be integrated into CosmoNote (https://cosmonote.ircam.fr), the web-based citizen science portal of COSMOS, or a sister web application for widespread public deployment. Collaborative designs may be explored.

The successful candidate will make major contributions to, and be involved in, all aspects of the computational modelling, interaction design, and software development; testing and validation, including on listeners (healthy volunteers or patients); and, development of algorithms for the design analytics, liaising with other research team members, and with collaborators across multiple domains, and be able to prioritise and organise their own work to deliver research results.

The successful candidate will have a PhD in computer science or a closely-related field, ideally with experience in human-computer interaction, sound and music computing (including programming with MIDI), or web programming (Javascript: D3.js). They should demonstrate a strong ability to design and implement computational algorithms to solve problems with objectives and constraints, and possess sound musical judgement.

They should be highly motivated, and have strong communication skills and a good track record of scientific publication. Personal integrity, a strong work ethic, and a commitment to uphold the highest standards in research are essential attributes.

The project is hosted by the Department of Engineering in the Faculty of Natural, Mathematical & Engineering Sciences and the School of Biomedical Engineering & Imaging Sciences (BMEIS) in the Faculty of Life Sciences & Medicine (FoLSM) at Kings College London. KCL was ranked 6th nationally in the recent Research Excellence Framework exercise. FoLSM was ranked 1st and Engineering was ranked 12th for quality of research.

The research will take place in BMEIS at St Thomas Hospital and Becket House, on the south bank of the River Thames, overlooking the Houses of Parliament and Big Ben in London.

This post will be offered on a fixed-term contract for 12 months (renewable to 31 May 2025)

This is a full-time post

Key responsibilities

Key responsibilities and outcomes

Designing and developing computational algorithms and sandbox environments to remodel musical expressivity with targeted physiological outcomes

Evaluating and validating the proposed methodologies and assessing their effectiveness and potential for clinical translation

Integrating the expression transformation tools into sandbox environments for the web in collaboration with other software programmer(s)

Following the principles of good software design, development, and documentation practices

Preparing high-quality manuscripts for publication, writing clearly about the computational techniques, outcomes, and design analytics

Presenting key findings at scientific conferences and public engagement events

Maintaining suitable performance levels for the software, following good software design, development, and documentation practices

General

Demonstrate collaborative approach to research and software development

Liaise directly with internal / external colleagues in an independent manner

Use initiative, discretion, knowledge and experience in planning, coordination and problem-solving

Demonstrate ownership of tasks and development of solutions to problems

Governance

Maintain an awareness and observation of ethical rules and legislation governing the storage of projected data

Maintain an awareness and observation of confidentiality agreements with collaborators and external organisations

Maintain an awareness and observation of appropriate procedures for the disclosure and protection of inventions and other intellectual property generated as part of the post holders activities and other team members working within the project

Development

To attend regular project meetings and training courses for professional and personal development as required

Communication & Networking

Develop and maintain effective working relationships with staff within the School as well as externally

Regularly communicate information in a clear and precise way

Decision Making, Planning & Problem Solving

Lead in decisions that have a significant impact on their own work, that of others and be party to collaborative decisions

Manage own workload, prioritising these in order to achieve their objectives

Communicate to management any difficulties associated with carrying out work tasks

Resolve problems where the solution may not be immediately apparent and where there is a need to use judgement to achieve resolution

Plan in advance for heavy workload

Use own initiative and creativity to solve problems

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

Essential criteria

1. PhD in operations research, statistics, computer science, music computing, or a related field

2. Experience designing/adapting computational algorithms to solve problems with objectives and constraints

3. Strong musical sensibilities, adaptable, willingness to learn, motivated to work with real-world music and physiological data

4. Good knowledge of software design principles and code management on Git

5. Excellent written and oral communication skills

6. Track record of high-quality, peer-reviewed scientific publications

7. Ability to work with people from diverse backgrounds and specialties

Desirable criteria

1. Experience with music software and related file formats and protocols

2. Experience programming graphical user interfaces to alter music properties

3. Hands on experience working with sound and music

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

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Research Associate in Design Analytics and Music Physiology job with KINGS COLLEGE LONDON | 304739 - Times Higher Education

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The Cyber and Information Systems (CIS) division delivers evidence-based resilient sensing, information and effector systems for the defence and security of the UK. The threats that the UK faces every day are many and varied. We advance the tools, techniques and tradecrafts required to establish world-class capabilities to detect and counter these threats through research, development and technology assessment.

CIS collaborates with our partners to offer the skills, knowledge, expertise and facilities needed to support defence in:

Our vision is to deliver transformational information superiority.

Much of our work is sensitive so, in order to keep the nation and the people who work for us safe, this is just a snapshot of the varied and exciting work we do.

The work we do in AI and Data Systems enables defence to turn data into information advantage and accelerates the responsible and ethical adoption of artificial intelligence across defence. Dstl provides a world-class capability applying artificial intelligence, machine learning and data science to defence and security challenges.

Our expertise includes:

Our work with other nations provides our scientists with exciting opportunities to collaborate with our partners in countries such as the US and we have recently established a hub in Newcastle helping us harness talent from across the UK.

Dstl Newcastle

Effective and resilient communications and networks are essential to all military operations. The armed forces must be able to operate in all environments from sub-sea to space and face some of the most difficult communication challenges imaginable.

One of the huge challenges for defence is how we integrate and communicate information from strategic and operational levels down to the tactical applications in warfare across all domains: land, sea, air, space and cyber. We do this through Command, Control, Communications, Computers (C4) Systems.

The C4 Group conducts research to deliver the science and technology advances that enable complex information services like AI to reach into these environments and to overcome threats to our communications.

With employees ranging from physicists to engineers working in electronics, computer science, systems, information and data sciences, we identify ways to connect all military commands and equipment (present and future) and exploit the electromagnetic spectrum. This includes building in resilience against threats posed by highly technical adversaries. It will also involve collaboration with allies, organisations and coalition partners, such as NATO.

Figure: The Electromagnetic Environment from AJP 3.6 C (NATO EW Doctrine) NATO UNCLASSIFIED; Reproduced with permission from MoD Head of Delegation for NATO EW within the NATO EW.

Adversaries will seek to find ways to disrupt communications to deny our forces access to the information that is fundamental to our success. Threats like jamming, interception and cyber-attack are under constant development by hostile states so it is essential that we continually improve our networks to maintain our advantage. Our staff work on developing both next generation and generation-after-next communications and networks systems.

Some of our current work includes:

We use our expertise to deliver communications options for everything from submarines to fast jets and from complex headquarters to autonomous swarms. We achieve this through designing experiments and conducting trials to prove concepts. And because were at the extreme cutting edge of technology, we work closely with leading experts from academia, commercial companies and international partners.

The military and civilian worlds are entirely dependent on electronic systems and data. These computers are in everything from our everyday phones, tablets and laptops through to our vehicles, power distribution, communications systems, and other invisible systems. Dstls cyber capability plays a vital role in protecting UK defence and security from the cyber threats to our systems.

Its not the stuff that we can say about our work that makes it exciting its the stuff we cant!

Our Cyber group brings diverse, creative minds together to provide unique ideas to solve classified challenges. We work across software, electronics, radio frequency (RF), hardware, security and safety critical systems to:

We use our cyber expertise in everything from security, safety and autonomous systems through to hardware, antennas and large complex software to deliver solutions that bring brand new, cutting-edge capabilities to allow the UK to establish strategic advantage.

The Electronic Warfare Technology and Enterprise (EWTE) Group is comprised of RF, electrical, electronic, software, system and mechanical engineers, physicists, mathematicians and internationally-recognised experts in electronic warfare (EW).

We support the Ministry of Defence (MOD) to deliver substantial EW equipment procurement programmes for the armed forces by:

We work on classified operational capability and provide rapid advice on how to overcome challenges, with our expertise in science and technology in areas such as communications and radars, RF systems, signal processing and machine learning, systems engineering and modelling and simulation.

We further specialist research by sponsoring and mentoring PhDs, in areas including Information Theory, and we have also launched an Electromagnetic Research Hub to provide highly classified analysis and advice into defence operations.

The Intelligence Innovation group develops and delivers transformations in defence analytical capability to UK intelligence through the application of data science, sensor exploitation and collaboration. As an impartial, in-government capability, we:

Our expertise includes innovative and forward-thinking individuals from data professionals in science, engineering and fusion to technical professionals within digital signal processing, open-source information exploitation, systems engineering and consultancy.

Operational research (OR) is a scientific approach to the solution of problems in the management of complex systems that enables decision makers to make better decisions.

The Joint Enablers Group conduct operational research which allows the MOD to make informed decisions on capability in the areas of:

We do this through a combination of qualitative and quantitative methods. Qualitative methods are subjective techniques which allow us to explore new concepts and ideas and quantitative methods are objective techniques which allow us to numerically measure difference.

To enable the divisions to execute their projects, ensuring value for money, CIS is home to around 150 project professionals. These include project and programme managers who work closely with our scientists and often experience first-hand the exciting science we deliver to our customers. They do not necessarily have a background in science or technology, but focus on applying international, government and MOD best practice in portfolio, programme and project (P3) management. This group is essential in providing exploitable science and technology to realise tangible defence benefits.

The ability to find your enemy on land, sea, air or space remains key to military success. Dstls Sensing Group is the core of UK MODs research and innovation hub dedicated to delivering world leading military sensing technology.

Our scientists work hand in glove with frontline forces to understand the military challenges of the modern battlefield and develop the sensors needed for tomorrows challenges and beyond.

With state of the art laboratory, experimental and field trials capabilities, we shape the military sensing landscape of the future to ensure the UK can always maintain a technology advantage over its adversaries.

Covering a plethora of sensing modalities, we:

Our Sensing Group includes professionals in quantum technologies, electro-optic sciences, radio frequency engineering, alternative navigation, precision timing, data processing and sensor system modelling.

The Space Group is the centre for science and technology support to UK defence and security in space. We work to deliver the UKs National and Defence Space Strategies, developing the UKs ability to become a meaningful influencer in space.

Our mission is to provide domain advice and use science and technology to deliver freedom of action in and through space. This is a huge remit covering space domain awareness experiments, novel satellite technology; and optical satellite communications. We collaborate with professionals in academia, industry and internationally to develop world-class scientific capability and to design and develop mission demonstrators for Space Command.

Our employees work at all levels within the space architecture. This includes:

The Space Group also provides the evidence base for decisions around the shape and scale of the defence approach to space in the future.

Our professionals in the space team include space systems engineers, payload engineers, synthetic aperture radar scientists, space domain awareness scientists and a wide range of other specialists to deliver the MODs growing need for space capability.

The CIS division at Dstl is always looking for top talent who can bring innovation, passion and skills to the team.

We need people with diverse and creative minds who can bring their individual perspectives to our classified challenges.

Working within CIS provides a fantastic opportunity to work on cutting edge technologies, interesting projects (some we cannot disclose) and to work with like-minded professionals internally and across academia, industry and internationally.

The benefits of working in CIS include:

Find out more about the benefits of working for Dstl.

At CIS and Dstl we actively encourage applicants from diverse backgrounds. Meet AJ, software engineer with a neurodiverse background who works on our exciting projects.

Celebrating Neurodiversity at Dstl: AJs Story

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Cyber and Information Systems - GOV.UK

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