Category Archives: Data Science
$35+ Billion Data Pipeline Tools Markets – Global Opportunity Analysis and Industry Forecasts, 2021-2022 & 2022-2031 – Surge in Adoption of ML…
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Data Pipeline Tools Market
Data Pipeline Tools Market
Dublin, March 23, 2023 (GLOBE NEWSWIRE) -- The "Data Pipeline Tools Market By Product Type, By Deployment Mode, By Application Area: Global Opportunity Analysis and Industry Forecast, 2021-2031" report has been added to ResearchAndMarkets.com's offering.
he global data pipeline tools market was valued at $6.8 billion in 2021, and is estimated to reach $35.6 billion by 2031, growing at a CAGR of 18.2% from 2022 to 2031.
Data pipeline tools are a category of software that allow large volumes of data to be moved from several disparate data sources to a central destination, often a data warehouse. Data is normalized or transformed so that it's in a consistent format and schema in the data warehouse and can be used for analysis and reports.
Key factors driving the growth of the data pipeline tools market include in Increase in demand for cloud data storage, Increase in demand for real-time data analytics, and Surge in need of data protection facilities. Strong security protocols are essential when planning a data pipeline.
Automated extract, transform and load. ETL platforms remove much of the risk involved, as data is never directly exposed. Instead, the ETL platform queries the destinations via Application Programming Interface (API), then securely transports the data to its destination. There is little risk as there is no manual interaction with the data while transferring the data.
For instance, in November 2022, Amazon Web Services inc., shared responsibility model that applies to data protection in AWS Data Pipeline. It is protecting the global infrastructure that runs all of the AWS Cloud. This content includes the security configuration and management tasks for the AWS services. Such factors have helped the growth of the data pipeline tools market.
The market also offers growth opportunities to the key players in the market. Machine learning is a subfield of computer science that deals with tasks such as pattern recognition, computer vision, speech recognition, text analytics and has a strong link with statistics and mathematical optimization. Machine learning constitutes model-building automation for data analysis.
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Data pipeline tools in machine learning are an infrastructural path for the entire ML workflow. Pipelines help automate the ML workflow, from data gathering, In statistics, exploratory data analysis (EDA), data augmentation, to model building and deployment. After the deployment, it also supports reproduction, tracking, and monitoring.
Many key players have introduced different frameworks to enhance their pipeline services. For instance, in January 2022, Metaflow introduced a framework for real-life data pipeline tools and machine learning. It helps to build and manage real-life data science and ML projects and to address the needs of data scientists who work on demanding real-life data analytics and ML projects. As a result, there has been a surge in adoption in machine learning and data analytical tools which helps boost the growth of the data pipeline tools market.
The key players profiled in the study include Amazon Web Services, Inc. Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, Precisely Holdings, LLC, SAP SE, Snowflake, Inc., Software AG, Tibco Software.
The players in the market have been actively engaged in the adoption various Strategies such as acquisition, product launch and expansion to remain competitive and gain advantage over the competitors in the market. For instance, in June 2021, Precisely Holdings LLC, acquired Winshuttle.
The Winshuttle product portfolio of SAP automation (Winshuttle Studio & Evolve) capabilities are also a part of the Precisely Automate product family. Master Data Management solutions are also part of the portfolio, as Precisely EnterWorks which in turn will help to improve data pipeline tool services.
Key Market Insights
By product type, the ELT Data Pipeline segment was the highest revenue contributor to the market, and is estimated to reach $10,845.20 million by 2031, with a CAGR of 17.88%. However, the ceramic ETL Data Pipeline segment is estimated to be the fastest growing segment with the CAGR of 19.22% during the forecast period.
By deployment mode, the cloud-based segment was the highest revenue contributor to the market, with $5,234.10 million in 2021, and is estimated to reach $28,685.60 million by 2031, with a CAGR of 18.67%.
Based on application area, the Real Time Analytics segment was the highest revenue contributor to the market, with $2,722.80 million in 2021, and is estimated to reach $17,763.30 million by 2031, with a CAGR of 20.73%.
Based on region, North America was the highest revenue contributor, accounting for $2,649.70 million in 2021, and is estimated to reach $12,880.00 million by 2031, with a CAGR of 17.25%.
Key Attributes:
Report Attribute
Details
No. of Pages
152
Forecast Period
2021 - 2031
Estimated Market Value (USD) in 2021
$6782 million
Forecasted Market Value (USD) by 2031
$35609.6 million
Compound Annual Growth Rate
18.0%
Regions Covered
Global
Market Dynamics
Drivers
Increase in demand for cloud data storage
Increase in demand for real-time data analytics
Surge in need of data protection facilities
Restraints
Opportunities
COVID-19 Impact Analysis on the market
Key Market Players
Key Market Segments
By Product Type
Batch Data Pipeline
ELT Data Pipeline
ETL Data Pipeline
Streaming Data Pipeline
By Deployment Mode
By Application Area
By Region
North America
U.S.
Canada
Europe
Germany
Italy
France
Spain
UK
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
For more information about this report visit https://www.researchandmarkets.com/r/k9ybm7
About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.
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Student Debt and the Spending Crisis: What Trustees Need to Know … – American Council of Trustees and Alumni
EVENT DETAILS
In the next few months, the U.S. Supreme Court will hand down one of the most consequential decisions for higher education in recent years. But regardless of the future of the Biden administrations loan forgiveness plan, to do the best for todays and tomorrows graduates, colleges and universities must think creatively if they are to use scarce resources efficiently. And for some governing boards, it is an existential matter for their institution.
Please join the American Council of Trustees and Alumni (ACTA) on April 18, 2023, at 1 p.m. EST for a one-hour webinar designed specifically for college trustees and other higher education leaders to discuss college spending, budgets, and in what areas institutions can tighten their belts without harming academic quality or student outcomes. After this timely discussion, trustees will be better equipped to understand their institutions budgets and maximize their institutions resources.
Matthew HendricksFounder, Perspective Data Science
Dr. Matthew Hendricks is the founder of Perspective Data Science, a data consultancy firm that provides organizations, particularly those in the education sector operating on small budgets, with state-of-the-art analytics. He works with institutions to help them make better policy decisions that promote financial stability and improve student outcomes. Dr. Hendricks previously served as chair of the Department of Economics and associate professor of economics at the University of Tulsa, where his scholarship focused on labor economics, applied econometrics, and education policy. His research on the impact of changes in base salaries on teacher productivity was published in theJournal of Public EconomicsandEconomics of Education Review. Dr. Hendricks holds a B.S. in economics from St. Johns University and a Ph.D. in applied economics from the University of Minnesota.
The Honorable George Hank BrownFormer President, University of Colorado, and Former U.S. Senator
The Honorable Hank Brown served as president of the University of Colorado from 20052008. He was then named to the Quigg and Virginia S. Newton Endowed Chair in Leadership at the University of ColoradoBoulder and was an adjunct professor in the law school. Over his distinguished career in public service, he has served as the president of the University of Northern Colorado (19982002); as a member of the Colorado Senate (19721976); and as a member of both the U.S. House of Representatives (19811991) and the U.S. Senate (19911997). He led the university to record growth in enrollment, donations, and diversity and spearheaded the largest increase in state funding in the schools history. Dr. Brown is one of 22 signatories to ACTAsGovernance for a New Erareport, which calls on college trustees to work with faculty and presidents to form effective responses to ever-increasing tuition costs, outsized administrative expenditures, and the erosion of academic freedom. He received a B.S. in accounting from the University of Colorado, a masters degree in law from George Washington University, and a J.D. from the University of Colorado School of Law, and is a certified public accountant (CPA).
Robert C. DickesonCofounder, Academic Strategy Partners
Dr. Robert C. Dickeson iscofounder of Academic Strategy Partners, now the Academic Strategy Consortium, which provides expert consultation to colleges, universities, and other organizations to improve institutional leadership, systems and processes, governance, planning, enrollment management, performance analytics, and financial standing. A national leader in higher education, Dr. Dickeson served as president of the University of Northern Colorado from 1981 to 1991. He has chaired blue-ribbon commissions appointed by three governors in two states; has been an officer of 80 corporate, government, foundation, and public affairs organizations; and served as commissioner from Colorado to the Education Commission of the States. As co-founder and Senior Vice President of Lumina Foundation for Education, he led the national effort to control college costs. He is the author of more than 200 publications in the fields of higher education leadership and policy and public administration. Dr. Dickesons book,PrioritizingAcademic Programs and Services, is based on his extensive consulting experiences serving several hundred two- and four-year colleges and corporations ranging from hospitals to bank holding companies. Dr. Dickeson holds an A.B., M.A., and Ph.D. in political science and public administration from the University of MissouriColumbia.
Alice Lee Williams BrownPrincipal, AWB & AssociatesAlice Lee Williams Brown taught at Appalachian State University, Eastern Kentucky University, Ohio University, and the University of Kentucky prior to leading the Appalachian College Program at the University of Kentucky. After 10 years, the Program became the non-profit Appalachian College Association housed in Berea, KY. For the next 15 years, Dr. Brown raised over $50 million to provide fellowships for faculty and research experiences for students at 35 small private colleges across the five states of central Appalachia. Since retiring as President Emerita from that association, she has received funding from various foundations to research colleges that closed or almost closed and the importance of trusteeship. Her research has resulted in the publication of 15 articles, three books, and a confidential report on the almost closing of Sweet Briar College. She reviews proposals for the Skelly Foundation and the US Department of Education, has served on the boards of the Southern Education Foundation, Colby-Sawyer College, HERS, the Association of Collaborative Leadership, Teaching Learning Technology, the Appalachian Studies Association, and has advised non-profit organizations and private colleges. She earned her B.S. and M.A. from Appalachian State University and her Ed.D. from the University of Kentucky.
Anna SillersData Analyst Fellow, ACTA
Anna Sillers serves as the data analyst fellow in ACTAs Trustee & Government Affairs Department where she oversees HowCollegesSpendMoney.com. She is responsible for examining education data related to college spending and tuition to understand how spending can hurt or help students and led the quantitative research for ACTAs The Cost of Excess. Prior to joining ACTA, she was an associate consultant for Manhattan Strategy Group, where she served as a researcher and data analyst for the U.S. Department of Education and U.S. Department of Labor. She holds a B.A. in economics from Mount Holyoke College and an M.P.P. from Georgetown University.
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Birmingham-Southern College is Important to Our City, Our State … – birminghamal.gov
Randall L. Woodfin
Mayor of Birmingham
As the mayor of Birmingham, I am deeply troubled by the potential loss of Birmingham-Southern College a private liberal arts college formed in 1918 and I am fully supportive of the colleges strategy to conquer its financial challenges once and for all.
I support this effort for many reasons, not the least of which is the $70.5 million annual economic impact the college has on Jefferson County, though that is compelling on its own.
While BSC is small compared to Alabamas state-supported institutions, it has an outsized impact on our city and state in many other ways.
The college has a well -known reputation for producing doctors, lawyers, teachers, ministers, performing artists, and business owners. What is especially important about those BSC graduates is that more than half of them stay in Alabama, and that two-thirds of those remain in Birmingham after graduation or return here after earning additional degrees.
Equally important is the fact that BSC borders College Hills and Bush Hills, and partners with leadership in those historic neighborhoods to develop opportunities for residents and students to connect thoughtfully and intentionally. Should BSC close, what will happen on those nearly 200 acres? There is no buyer waiting in the wings; no other college sitting ready to move onto the campus and provide the stability that BSC has brought to the western edge of the city for more than a century.
Finally, at a time when so many are working so hard to keep Alabama moving forward, the loss of this nationally ranked liberal arts college would be an enormous setback, and not just for Birmingham. Smart, ambitious, service-focused students looking to get their start at a nationally ranked liberal arts college will undoubtedly leave Alabama to attend the BSCs of neighboring states. And most of them will not return to Birmingham after college.
With a relatively small investment, saving BSC would signal that Alabama values education, that one size does not fit all, and that there is room on this states educational landscape for colleges large and small, public and private.
Saving BSC will also send a powerful message to innovation-focused businesses thinking about settling in Birmingham: That Alabama is committed to changing the fact that only 25 percent of adults over age 25 have a college degree so that they can find their next great hires right here.
Those great hires from BSC will include graduates working in Birminghams growing community of technology-focused companies. BSC has launched a summer program in data science and has been approved to include a data science masters degree in fall 2023. Tech
entrepreneurs need those graduates, and Birmingham needs them to stay here to live, work, serve, and be part of our citys bright future.
I encourage BSC leadership and trustees to continue to rally support from every corner of the state and beyond to secure the understanding of its important role in the past, present, and the need for a sustainable BSC in the future.
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Birmingham-Southern College is Important to Our City, Our State ... - birminghamal.gov
Domino Data Lab’s Spring Release Offers Accessible and … – Database Trends and Applications
Domino Data Lab, the enterprise MLOps platform company, is announcing updates to its platform that will drive accessibility to open source tools and techniquesincluding Ray 2.0, MLflow, and Feasts feature store for machine learning (ML)allowing enterprises to see tangible value from their AI, sooner. The announcement is also accompanied by the launch of Domino Cloud, the fully-managed MLOps Platform-as-a-Service, and the general availability of Dominos hybrid and multi-cloud Nexus capability.
Now supporting Ray 2.0, an open source framework, Dominos platform features accelerated development and training of generative AI models at scale. The development process is further streamlined with Dominos auto-scaling compute clusters, paired with data prep via Apache Spark, as well as ML and deep learning with PyTorch, TensorFlow, and XGBoost.
The incorporation of on-demand, auto-scaling clusters and Ray 2.0 support in Dominos spring release accelerates both development and data preparation for teams at any scale. Ray speeds up the process by providing a unified, distributed compute framework that makes it easy to scale AI and Python workloadsfrom reinforcement learning to deep learning to model tuning, explained Chris Lauren, SVP of product at Domino Data Lab. This single-platform integration enables data scientists to be more productive by streamlining data preparation and model training from end to end.
The MLflow integration targets ML lifecycle management, enabling data scientists to more simply track, reproduce, and share experiments and artifacts directly within their Domino projects. Dominos security protocols are maintained across artifacts, metrics, and logs.
As data scientists iteratively explore which new breakthroughs in algorithms, fine-tuning foundational models, and tuning hyperparameters yield the best results, its important to track their progress in a consistently sharable way for model review and audits, said Lauren. Our customers can now leverage MLflow to automatically log key metrics and artifacts that help them manage experimentation at scale, streamline their work, and increase collaboration with other team members, team leads, or auditors.
Native integration of Feast within Domino streamlines access to query and transform ML functions. This introduces a cost-saving reusable feature logic across data science projects, further tracing feature lineage while simultaneously ensuring data accuracy and security.
The launch of Domino Cloud focuses on accelerating time-to-value for AI projects with scalable resources and a secure, governed, enterprise-grade platform, according to the company. The platform needs no setup or management investment, ensuring that data science workflows can maintain focus on more critical tasks. This solution allows teams to do more with less, reducing operational burden; customers only pay for compute used and can access GPUs and distributed compute frameworks.
In contrast to more limited fully managed data science platforms offered by cloud providers, Domino Cloud allows teams to integrate workflows and accelerate the full lifecycle from experiment to production. This means that teams can use end-to-end workflows with common patterns and practices, even if different users have different tool preferences, said Lauren. In this way, Domino Cloud is ideal for teams with an urgent need to scale AI while maintaining full access to the complete ecosystem of professional data science tools and scalable infrastructure they need to drive immediate business impact.
Domino is additionally announcing the general availability of Domino Nexus, built for enterprises with complex accelerated computing associated with generative AI projects existing throughout hybrid and multi-cloud environments. Workload deployment ranges from data centers to the edge, empowering enterprises with seamless workload migration.
Due in part to Dominos achievement of membership within the NVIDIA AI Accelerated program, enterprise customers are assured that Dominos platform supports the latest GPU and DPU technologies.
Once again alleviating cost pains, Domino Nexus is accompanied by a Vultr validation, enabling Domino Nexus customers to burst to Vultr Cloud with virtualized fractional NVIDIA A100 Tensor Core GPUs.
Our partnership with Vultr Cloud provides an exciting new opportunity for our customers to access the latest NVIDIA GPUs at a competitive price point. This further increases customers flexibility and choice in their hybrid and multi-cloud data science strategies, said Lauren. By offering more options from companies like Vultr, we're continuously evolving Nexus to support our customers' changing needs and helping them streamline their migration to the cloud or hybrid/multi-cloud strategies.
This Vultr infrastructure, working in combination with the NVIDIA NGC catalog, and the NVIDIA AI Enterprise software suite helps enterprises reduce costs while driving innovative generative AI projects.
The Spring release of Dominos platform (Domino 5.5), as well as Domino Cloud and Domino Nexus, are available today. Integrations with MLflow and the Feast feature store are available in preview. The Domino and Vultr solution will be released later this year.
Dominos Spring 23 release unveils powerful new capabilities which give every enterprise access to cutting-edge, open source tools and techniques to achieve real business value from AI in a fraction of the time, concluded Lauren. No company, regardless of scale, needs to be without the tools to unlock new insights and capabilities, and allows them to drive innovation for the creation of new AI infused products and services that were previously beyond reach.
For more information about this news, visit http://www.dominodatalab.com.
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Domino Data Lab's Spring Release Offers Accessible and ... - Database Trends and Applications
Data science is the future; get rural girls in colleges, says IIT Madras director V Kamakoti – Times of India
CHENNAI: India should pursue divergent goals such as providing cutting-edge data science education to students at large on one hand and ensuring higher education to girls in villages, said IIT Madras director V Kamakoti on Wednesday."Oil of the world is data. Education has come to our houses through technology. For India to become technologically independent we as a society need to invest in data education. Every student should aspire to pursue a data analytics course. With massive digitization, the next level of business is driven by data," Kamakoti said at the college day of MOP Vaishnav College for Women.He urged colleges to provide education to girls from rural areas. "IIT madras is ready to welcome girl children from rural areas. If we don't improve our educational policies, we will become one of the least educated countries by the next decade," he said.College principal Lalitha Balakrishnan said MOP students would soon have twinning options. "They will be encouraged to take up data science along with their current subjects," she said.BCom (hons) student Rahini S, 20, a first-generation graduate, was awarded the best outgoing student award. "My older sister did not go to college. I've realised that education is important for my livelihood. The college has supported me not just in studies, but in my extra-curricular activities too," she said.
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NMDSI Symposium on untapped AI, 13 – Marquette Today – Marquette Today
The Northwestern Mutual Data Science Institute (NMDSI) will host its inaugural symposium, Untapped AI Next Frontiers, on Thursday, April 13, at Northwestern Mutuals downtown campus.
This event is free and open to the public and will focus on AI research, ethics, emerging trends and best practices. Attendees will hear from a variety of experts in the data science industry and academia and have the opportunity to network with industry peers.
The NMDSI is a collaboration among Marquette, the University of Wisconsin-Milwaukee and Northwestern Mutual with the goals of furthering research, corporate and community applications, and talent development in data science.
The event will kick off with a keynote address from Dr. Desmond Patton, a nationally recognized AI expert. Following, the NMDSI will host a fireside chat conversation with NMDSI leadership, including:
Attendees will then hear from a variety of NMDSI experts via a series of topical Lightning Talks.
The day will conclude with a student poster session highlighting students from Marquette University and the University of Wisconsin-Milwaukee as well as Northwestern Mutual employees, who will create and share posters to showcase their research projects.
Participants will present to attendees and judges and should be willing to answer questions and discuss their work.
Apply onlineto be a part of the poster session by Friday, March 31.
Join the NMDSI for a networking reception with refreshments during the poster session.
The event will take place virtually and in person at Northwestern Mutuals downtown Milwaukee campus.
Learn more and register via Eventbrite.
With questions, contact Stephanie Van Wieringen.
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NMDSI Symposium on untapped AI, 13 - Marquette Today - Marquette Today
A Growing Phenomenon: The Importance of Saudi Women In Data … – About Her
On Tuesday, Prince Sultan University and Stanford University collaborated to launch the Women in Data Science Conference 2023 in Riyadh with the objective to encourage female participation and interest in the field of data science, engineering and computer science.
The conference is conducted annually in nearly 150 universities across more than 60 countries, showcasing the most current research and practices in data science.
Data science plays a crucial role in today's world as it enables individuals and organizations to extract meaningful insights and knowledge from vast amounts of data. It involves the use of statistical and computational methods to analyze and interpret data, and to identify patterns and trends that can be used to make informed decisions.
With that being said, the risk of running and implementing practices that do not come from a diverse perspective is high. Which is why plain and simple: we need more women in the field of data.
In KSA, have picked up on that and so, many renowned personalities and entities were in attendance such as Saudi Arabian and international researchers. In accordance with the agenda, they presented scientific papers and participated in dialogue sessions.
Several Saudi women that have excelled in this department were in attendance, such as Maysa Al-Qurashi. She is a Professor of Mathematics, with a PhD in Analysis from KSU. Her main focus within the academic field falls in Strategic Planning, Quality Assurance, Science and that is not even the most interesting thing about her.
Dr. Al-Qurashi has more than 60 publications in prestigious journal covering various fields of Mathematics and Analysis such as: Operator Algebras, Harmonic Analysis, Applied Mathematics and Biological Mathematics.
Another Saudi data superstar is Reem Alattas who was at the conference, is a director, SAP Value Advisory, Techpreneur, Inventor, NASA Datanaut, and Speaker. That is what her LinkedIn header says, but we are sure she is being humble.
This Saudi woman has successfully launched many innovative products over the years and raised capital across multiple funding rounds from investors. A household name, she is.
As for the conference, it included workshops and a datathon competition to evaluate the students' proficiency, while also promoting mentorship and interdisciplinary collaboration in accordance with technological advancements.
Vice President of Prince Sultan Universitys female campus, Heba Khoshaim, stated in the conference that these types of platforms are an opportunity to highlight womens achievement in the digital field, and to discuss and review the most prominent research and practices.
While Ahmed bin Saleh Al-Yamani, president of Prince Sultan University, said: The goals of the Kingdoms Vision 2030 and the initiatives taken in the digital field have enabled Saudi women to draw their own path in the data science field.
This is not the first time Saudi Arabia has launched an initiative to push for the field of data science, as a partnership was initiated in the past that yielded Saudi Arabias first female data scientists.
The largest university for women in the world, Princess Nourah bint Abdulrahman University (PNU), had partnered up with Dell, the American tech company, to train data scientists in the kingdom. That collaboration resulted in training 57 female data science and big data analytics students in one semester only, with an additional 103 students certified in cloud infrastructure.
With that training, we are on the right path to ensure data is not biased. The reason that the world, and not just Saudi Arabia, is pushing for female data scientists is that the analysis needs to be made from both genders, not only to ensure collaboration and innovation at all levels, but also to ensure inclusivity in decision making.
Data science is used in a wide range of fields such as finance, healthcare, marketing, and social media, among others, to improve business processes, develop new products and services, and enhance decision-making.
So, imagine having all this vast amount of data analyzed and worked on from just one perspective. Recently, weve written an article on how woman pain is dismissed (LINK ARTICLE), and now the kingdom is making those firm steps to rectify that through not only giving women a seat on the table, but having them head these conversations.
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A Growing Phenomenon: The Importance of Saudi Women In Data ... - About Her
Vanti Introduces AI-Powered Predictive Quality Platform for Adaptive … – PR Web
Vanti.ai
ORLANDO, Fla. (PRWEB) March 22, 2023
Vanti, a leading provider of AI-powered Industrial Optimization solutions, is proud to introduce its Predictive Quality platform for adaptive industrial applications at the Gartner Data & Analytics Summit 2023. The platform leverages adaptive AI, identified by Gartner as a strategic trend for 2023, to help manufacturers and industrial companies identify and avoid quality issues before they appear to increase their efficiency, productivity, and business outcomes.
Vanti's CEO, Smadar David, will discuss the company's data-driven approach to quality assurance, known as the Predictive Quality Platform during her presentation at the Gartner Summit. Predictive quality examines industrial and manufacturing data in real-time for outliers, trends, and patterns. By analyzing production data, including time-series data, images, videos, and more, manufacturers can identify potential quality issues before they occur, helping to improve first-pass yield, reduce waste, and ensure high-quality output.
As Gartner notes, "AI offers substantial potential for manufacturing companies, both in operations and business process optimization. Industry 4.0, factory of the future, and smart manufacturing strategies point toward a self-adaptive and automatically reconfigurable production capability." (Applying AI in Industries, published 7 December 2022)
Our platform empowers subject matter experts, like engineers and plant floor managers, to access and utilize the platform's insights without requiring data science expertise, said Smadar David, Vanti CEO and Co-Founder. "By democratizing access to predictive quality insights, we're enabling a new level of collaboration and productivity across manufacturing teams. Our goal is to help our customers achieve better outcomes with their existing resources and expertise, and we believe that our platform is a key step forward in achieving this vision."
Vantis platform's wide range of applications targeted at improving manufacturing metrics spans many industries, with the electronics manufacturing, CPG and food & beverage, medical device manufacturing, and automotive industries being just a few. Our AI-powered predictive quality solution can be configured to meet the unique needs of different industrial environments, enabling our customers to address dynamic supply chain challenges and achieve their goals of increased efficiency, automation, and sustainability.
About Vanti
At Vanti, we're committed to helping manufacturers and industries improve business outcomes with our AI-powered predictive quality solution. Our platform is designed to be customizable and easy to deploy, enabling our customers to achieve their goals of increased efficiency, productivity, and profitability. We invite all attendees to visit us at booth #303 to learn more about Vanti's AI-powered Predictive Quality platform and explore how we can help your organization achieve its manufacturing goals. Alternatively, you can also visit us online at vanti.ai to learn more. We look forward to hearing from you and exploring how we can help you stay ahead of the curve in the fast-paced world of Industry 4.0.
About the Gartner Data & Analytics Summit
The Gartner Data & Analytics Summit provides insights for data and analytics (D&A) leaders to enable a D&A-centric culture within their organizations by tying strategy to business outcomes and promoting the adoption of technologies, such as artificial intelligence, while creating a resilient culture that accelerates change and where data literacy, digital trust, governance and data-driven critical thinking are pervasive.
Media Contact
Gil Levonai, CMO media@vanti.ai
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Vanti Introduces AI-Powered Predictive Quality Platform for Adaptive ... - PR Web
How Research Helped One Pre-med Discover a Love for Statistics … – Duke University
If youre a doe-eyed first-year at Duke who wants to eventually become a doctor, chances are you are currently, or will soon, take part in a pre-med rite of passage: finding a lab to research in.
Most pre-meds find themselves researching in the fields of biology, chemistry, or neuroscience, with many hoping to make research a part of their future careers as clinicians. Undergraduate student and San Diego native Eden Deng (T23) also found herself plodding a similar path in a neuroimaging lab her freshman year.
At the time, she was a prospective neuroscience major on the pre-med track. But as she soon realized, neuroimaging is done through fMRI. And to analyze fMRI data, you need to be able to conduct data analysis.
This initial research experience at Duke in the Martucci Lab, which looks at chronic pain and the role of the central nervous system, sparked a realization for Deng. Ninety percent of my time was spent thinking about computational and statistical problems, she explained to me. Analysis was new to her, and as she found herself struggling with it, she thought to herself, why dont I spend more time getting better at that academically?
This desire to get better at research led Deng to pursue a major in Statistics with a secondary in Computer Science, while still on the pre-med track. Many people might instantly think about how hard it must be to fit in so much challenging coursework that has virtually no overlap. And as Deng confirmed, her academic path not been without challenges.
For one, shes never really liked math, so she was wary of getting into computation. Additionally, considering that most Statistics and Computer Science students want to pursue jobs in the technology industry, its been hard for her to connect with like-minded people who are equally familiar with computers and the human body.
I never felt like I excelled in my classes, Deng said. And that was never my intention. Deng had to quickly get used to facing what she didnt know head-on. But as she kept her head down, put in the work, and trusted that eventually she would figure things out, the merits of her unconventional academic path started to become more apparent.
Research at the intersection of data and health
Last summer, Deng landed a summer research experience at Mount Sinai, where she looked at patient-level cancer data. Utilizing her knowledge in both biology and data analytics, she worked on a computational screener that scientists and biologists could use to measure gene expression in diseased versus normal cells. This will ultimately aid efforts in narrowing down the best genes to target in drug development. Deng will be back at Mount Sinai full-time after graduation, to continue her research before applying to medical school.
But in her own words, Dengs most favorite research experience has been her senior thesis through Dukes Department of Biostatistics and Bioinformatics. Last year, she reached out to Dr. Xiaofei Wang, who is part of a team conducting a randomized controlled trial to compare the merits of two different lung tumor treatments.
Generally, when faced with lung disease, the conservative approach is to remove the whole lobe. But that can pose challenges to the quality of life of people who are older, with more comorbidities. Recently, there has been a push to focus on removing smaller sections of lung tissue instead. Dengs thesis looks at patient surgical data over the past 15 years, showing that patient survival rates have improved as more of these segmentectomies or smaller sections of tissue removal have become more frequent in select groups of patients.
I really enjoy working on it every week, Deng says about her thesis, which is not something I can usually say about most of the work I do! According to Deng, a lot of research hers included is derived from researchers mulling over what they think would be interesting to look at in a silo, without considering what problems might be most useful for society at large. Whats valuable for Deng about her thesis work is that shes gotten to work closely with not just statisticians but thoracic surgeons. Originally my thesis was going to go in a different direction, she said, but upon consulting with surgeons who directly impacted the data she was using and would be directly impacted by her results she changed her research question.
The merits of an interdisciplinary academic path
Dengs unique path makes her the perfect person to ask: is pursuing seemingly disparate interests, like being a Statistics and Computer Science double-major on the pre-med, track worth it? And judging by Dengs insights, the answer is a resounding yes.
At Duke, she says, Ive been challenged by many things that I wouldnt have expected to be able to do myself like dealing with the catch-up work of switching majors and pursuing independent research. But over time shes learned that even if something seems daunting in the moment, if you apply yourself, most, if not all things, can be accomplished. And shes grateful for the confidence that shes acquired through pursuing her unique path.
Moreover, as Deng reflects on where she sees herself and the field of healthcare a few years from now, she muses that for the first time in the history of healthcare, a third-party player is joining the mix technology.
While her initial motivation to pursue statistics and computer science was to aid her in research, Ive now seen how its beneficial for my long-term goals of going to med school and becoming a physician. As healthcare evolves and the introduction of algorithms, AI and other technological advancements widens the gap between traditional and contemporary medicine, Deng hopes to deconstruct it all and make healthcare technology more accessible to patients and providers.
At the end of the day, its data that doctors are communicating to patients, Deng says. So shes grateful to have gained experience interpreting and modeling data at Duke through her academic coursework.
And as the Statistics major particularly has taught her, complexity is not always a good thing sometimes, the simpler you can make something, the better. Some research doesnt always do this, she says shes encountered her fair share of research that feels performative, prioritizing complexity to appear more intellectual. But by continually asking herself whether her research is explainable and applicable, she hopes to let those two questions be the North Stars that guide her future research endeavors.
At the end of the day, its data that doctors are communicating to patients.
When asked what advice she has for first-years, Deng said that its important to not let your inexperience or perceived lack of knowledge prevent you from diving into what interests you. Even as a first-year undergrad, know that you can contribute to academia and the world of research.
And for those who might be interested in pursuing an academic path like Deng, theres some good news. After Deng talked to the Statistics department about the lack of pre-health representation that existed, the Statistics department now has a pre-health listserv that you can join for updates and opportunities pertaining specifically to pre-med Stats majors. And Deng emphasizes that the Stats-CS-pre-med group at Duke is growing. Shes noticed quite a few underclassmen in the Statistics and Computer Science departments who vocalize an interest in medical school.
So if you also want to hone your ability to communicate research that you care about whether youre pre-med or not feel free to jump right into the world of data analysis. As Deng concludes, everyone has something to say thats important.
Post by Meghna Datta, Class of 2023
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How Research Helped One Pre-med Discover a Love for Statistics ... - Duke University
Regenerative Medicine and Advanced Therapies: Information on … – Government Accountability Office
What GAO Found
The goal of regenerative medicine and advanced therapies is to repair or replace damaged human cells, tissues, or organs to supplement or restore function. The field is developing therapies that go beyond existing treatments to address underlying causes of disease or provide cures for previously untreatable diseases and conditions. The regenerative medicine and advanced therapies workforce is generally reflective of the larger life sciences workforce, with individuals occupying a wide range of jobs across research and development, biomanufacturing, clinical care, and regulatory affairs, as shown below.
Examples of Regenerative Medicine and Advanced Therapy Occupations
aTranslational scientists take discoveries made in the laboratory, clinic, or field, and transform them into new treatments and approaches that help improve the health of the population.
bBiomanufacturing activities include the production of therapies using living cells.
Individuals working with regenerative medicine and advanced therapies would need postsecondary degrees appropriate to their area of work. For example, researchers would generally need science- and engineering-based degrees, and clinical occupations would generally need clinical and professional degrees. Further, stakeholders noted that many occupations would likely need additional specialized training, such as training in laboratory techniques, or medical fellowships in topics and practices specific to the field.
Many of the eight stakeholders GAO interviewed discussed shortages in the number of current and projected laboratory and biomanufacturing technicians to support the development of regenerative medicine and advanced therapies, as well as gaps in other positions, such as data scientists. Some stakeholders said that education for these technicians at the community and technical college level is insufficient to meet current and future workforce needs. In addition, many stakeholders noted that there is no nationally recognized education curriculum for the field. One of these stakeholders agreed that a core curriculum that reflects the diverse, interdisciplinary nature of regenerative medicine and advanced therapies would help support a competent, robust workforce.
The field of regenerative medicine and advanced therapiesincluding cell, gene, and tissue-based therapiesis evolving and interdisciplinary. Practitioners believe these therapies have the potential to revolutionize patient care and improve lives. The promise of such therapies to ameliorate, or cure, previously untreatable diseases and conditions depends, in part, on the existence of a robust, well-trained workforce.
The Timely ReAuthorization of Necessary Stem-cell Programs Lends Access to Needed Therapies (TRANSPLANT) Act of 2021 included a provision for GAO to study the regenerative medicine and advanced therapies workforce in the commercial and academic sectors. This report provides information on (1) the makeup of this workforce, (2) education and training for this workforce, and (3) current and future workforce and education and training needs.
GAO interviewed officials from the Department of Health and Human Services (HHS), and eight stakeholder organizations selected for representation across the occupational areas GAO identified for this work, as well as other criteria. GAO also reviewed related reports and job postings. Existing workforce and education data do not contain information specific to the regenerative medicine workforce. To quantify the number of stakeholders who made certain statements, some means two to four stakeholders and many means five to seven stakeholders.
For more information, contact Leslie V. Gordon at (202) 512-7114 or GordonLV@gao.gov.
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Regenerative Medicine and Advanced Therapies: Information on ... - Government Accountability Office