Uptake launches new product, Uptake Scout - The Data Science Studio

Uptake | August 20, 2020

Today, Uptake announced its launch of a new product called Uptake Scout - The Data Science Studio that puts all the tools to create state-of-the-art industrial analytics into the hands of customers. Uptake's trusted platform currently powers thousands of pre-built data science models, but now Uptake Scout allows users to quickly and intuitively configure and deploy custom models and automated anomaly detection alerts. Uptake Scout has the horsepower to address the needs of seasoned analytics professionals, while also having a simple and intuitive user interface. Coding or advanced statistics skills are no longer required to unleash the value hidden in industrial data.

Spotlight

In today’s fluctuating markets, business executives are finding opportunities and challenges in almost equal measure. Over 65% of the CEOs that responded to PwC’s 2015 US CEO survey reported they are seeing more opportunities now compared with three years ago, but 60% also see more threats.1 One thing is certain: markets are changing more rapidly than ever, and the organizations that survive will be those that focus on value and efficiency. Those that convert their savings to opportunity will thrive. The lean times of the last decade have brought a renewed focus on total cost of ownership (TCO), and understandably so: an accurate assessment of the direct and indirect costs of owning a data center asset throughout its lifecycle is fundamental to decision-making. But IT budgets have increased each year since 2011 and astute business leaders now view TCO through a different lens, considering not only the cost of owning an asset but also its value to the organization.2 Their goal is not arbitrary costcutting but resource optimization to extract maximum value from every asset.


Other News
DATA SCIENCE

KNIME Accelerates Data Science Democratization Through Snowflake Collaboration

KNIME | June 10, 2022

KNIME, the open source data science company, today announced a strategic partnership with Snowflake, the Data Cloud company, to democratize access to data analytics across all roles and departments. Understanding data is critical for creating business value. With the global data analytics market worth more than $200 billion, it’s necessary for as many people as possible across roles, departments and industries to have access to analytics in their daily jobs for overall better productivity. “Many of our customers rely on Snowflake to power virtually any data workload at scale, while utilizing KNIME to gain value from that data.” Paul Treichler, VP of global partnerships at KNIME Tarik Dwiek, Snowflake’s head of technology partnerships, added, “In partnership with KNIME, we look to enrich the Snowflake ecosystem with tools that can enable an even greater share of enterprises and both technical and non-technical users of data.” The joint offering means that users can access and manipulate data in Snowflake with a low-/no-code platform at no cost. KNIME Analytics Platform is a fully featured analytics workflow “designer” that can be used in conjunction with Snowflake’s Data Cloud to perform a broad range of analytics tasks from data prep to data science. Users can leverage the drag-and-drop interface to prepare and explore data, rapidly build analytical models, create data apps, and present results in BI tools such as Tableau or Power BI. KNIME is flexible and extensible, giving data experts the freedom to work in their preferred environment. Users can build sophisticated analytic models in its low-code/no-code environment or script custom algorithms in a language of their choice with built-in integrations with R, Python, Java and more. KNIME has a vibrant open source community of users who share their knowledge and expertise in specialized forums. Technical and non-technical teams can make use of this community to leverage pre-built components and workflows to accelerate their time to value and also upskill themselves through comprehensive free training and learning content available from KNIME. Upskilling non-technical teams to use data science and analytics leaves technical teams with greater bandwidth and freedom to concentrate on more complex tasks. Across industries, enterprises can also take advantage of KNIME’s commercial offering. KNIME Server offers a suite of features for automation, governance, production deployment and MLOps. Snowflake working in concert with KNIME Server enables organizations to move beyond pilot projects and build enterprise-scale data solutions that are compliant and accessible across the organization. Lastly, KNIME extends the deployment flexibility of Snowflake to the analytics layer, allowing enterprises to utilize the right resources for a given workload or scenario. “We are excited about the partnership between Snowflake and KNIME," said Ryan Bosshart, CEO of phData, the Snowflake 2021 RSI Partner of the Year and KNIME Elite Partner. “We've been building with both Snowflake and KNIME because we believe in platforms and technology that make it easier for people to build data products, in both business and technical roles. I’m excited to see what new use cases are possible with this combination.” About KNIME KNIME helps individuals and organizations make sense of data. KNIME software bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and machine learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies.

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DATA VISUALIZATION

Skykit Survey: Sharing Data Dashboards Broadly with Employees is Challenging, but Reaps Big Rewards

Skykit LLC | July 14, 2022

The survey found that when IT managers invest in sharing data visualizations via digital signage, nearly three-fourths can tie the solution directly to ROI, with 81% saying it contributed to increased employee engagement, 67% to faster movement of goods, and 58% to reduced time spent on maintenance. Of those sharing data dashboards on digital signage solutions, 32% said their solution can update data across the enterprise in real time, while 39% said the tool updated data every minute. The most popular methods for sharing data visualizations do not support real-time data updates, as indicated by the survey respondents. Of those responding, 42% still share graphics using USB drives and another 42% email graphics. At this time, only 40% of companies share their data via broadcast tools, like digital signage, some of which have real-time update capabilities. The survey found that when IT managers invest in sharing data visualizations via digital signage, nearly three-fourths can tie the solution directly to ROI, with 81% saying it contributed to increased employee engagement, 67% to faster movement of goods, and 58% to reduced time spent on maintenance. Of those sharing data dashboards on digital signage solutions, 32% said their solution can update data across the enterprise in real time, while 39% said the tool updated data every minute. “The shift to sharing data visualizations via digital signage is underway, and the results speak for themselves – more than four-fifths of users have more engaged employees. “Whether dashboards are shared in the boardrooms, the breakrooms, or the warehouse floor, we’re seeing that true ROI is tied to the ability to share data dashboards in real time.” Irfan Khan, Skykit CEO Still, IT managers say some digital signage providers aren’t quite meeting their expectations for broadcasting data dashboards. 97% of users said they eliminated a potential solution during the sales process based on the provider’s weak security protocols. Security challenges will increase as more businesses look to return to the office post COVID-19. Nearly two-thirds, 60%, said they will need to share real-time updates with remote and hybrid workers. Businesses will also look to invest more in screens to modernize their workspaces, with 47% saying they will purchase new screens to increase employee engagement, and 36% looking to communicate business-critical information via screens throughout the enterprise. “We know from the findings that users need their digital signage tools working as quickly as possible, with as few additional investments as possible,” Khan said. “It’s on providers to ensure we’re safely and efficiently rolling out signage technology – getting solutions live quickly, with easy integration into existing data visualization tools.” About Skykit LLC Skykit is a leading provider of workplace experience tools and cloud-based digital signage solutions that streamline customer and employee communication. The company’s award-winning platform is scalable, making it a perfect choice for businesses of all sizes, across a variety of industries. Launched in 2016, Skykit currently provides digital signage solutions and workplace experience software to hundreds of organizations using tens of thousands of screens around the world.

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DATA ARCHITECTURE

Skyflow Launches Integration to Build Privacy and Data Protection into the Snowflake Data Cloud

Skyflow | June 17, 2022

Skyflow, the Data Privacy Vault company, announced a new integration with Snowflake, the Data Cloud company, at Snowflake Summit 2022. Now, Snowflake customers can quickly and easily integrate Skyflow to isolate sensitive information being shared in the Snowflake Data Cloud and secure it using Skyflow’s Data Privacy Vault. Customers can still query and share sensitive data while it remains protected using the vault, which insulates the application stack and reduces the overall compliance scope. What if privacy had an API? Building data privacy infrastructure from scratch or pulling together piecemeal solutions can take a significant amount of time and resources. Skyflow’s API was built so that companies can be up and running with world-class data privacy infrastructure in hours. “Companies that depend on data often handle PII, but building infrastructure to protect that sensitive data is too often an afterthought. “With Skyflow and Snowflake, teams can unlock the power of data while reducing the time, money, and resources historically spent on privacy.” Tarik Dwiek, Head of Technology Alliances at Snowflake Every company should prioritize privacy as they build to keep sensitive data out of unnecessary workflows and data streams. The risk of a security breach and the cost of breaking customer trust becomes amplified in highly regulated industries, like fintech and digital health. Skyflow radically simplifies how companies manage, access and govern sensitive PII data, and with dedicated fintech and healthtech data vaults, PHI and PCI-regulated data can be protected as well. Global Data Residency and Data Protection for Customer Data Both startups and enterprises across verticals can benefit from Skyflow’s scalable and customizable approach to privacy. The zero-trust vaults with a simple and elegant API can be deployed anywhere in the world, allowing developers to quickly build applications and workflows without worrying about data privacy, compliance or residency. Sensitive information can be stored in a specific geolocation to help teams achieve data residency requirements related to GDPR, DCIA, LGPD, PDPA, and Skyflow’s solution can drastically reduce the amount of time and resources needed to achieve compliance with standards like PCI DSS and HIPAA. “Skyflow is partnering with Snowflake to simplify how developers and CIOs solve for data protection. This is key in a world where privacy is becoming a top priority for users and regulators globally,” says Anshu Sharma, CEO of Skyflow. “Together, Snowflake and Skyflow can help customers put privacy first so they can focus on their core products.” About Skyflow Founded in 2019, Skyflow is a data privacy vault for sensitive data. Our founders wanted to radically transform how businesses handle their users’ financial, healthcare and other personal data -- the data that powers the digital economy. Inspired by the data vaults that leaders like Apple and Netflix built to handle customer data, our vision was to deliver the same kind of data privacy vault as a simple and elegant API, something any developer could easily build into their application, the same way they use Stripe, Twilio, or Okta. Skyflow is based in Palo Alto, California, with offices in Bangalore, India

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BIG DATA MANAGEMENT

Synopsys Launches the Era of Smarter SoC Design with ML-Driven Big Data Analytics Technology

Synopsys | June 03, 2022

Driving greater design productivity by harnessing previously untapped design insights with machine learning technology, Synopsys, Inc. (Nasdaq: SNPS) today announced a critical expansion of its EDA data analytics portfolio with the introduction of Synopsys DesignDash design optimization solution. As a complementary product to Synopsys' market-leading Digital Design Family and Synopsys DSO.ai™, the award-winning AI-driven design-space-optimization solution, Synopsys DesignDash is a comprehensive data-visibility and machine intelligence-guided design optimization solution that enables unmatched productivity in advanced SoC design. The Synopsys DesignDash solution delivers a real-time, unified, 360-degree view of all design activities for faster decision making, a deeper understanding of run-to-run, design-to-design and project-to-project trends, and enhanced collaboration in the SoC development process. "As a leading supplier of SoCs that are powering and transforming numerous high-impact industries, we pride ourselves on being able to push the limits of achievable device performance while also accelerating our customers' time-to-market," said Hiroshi Ikeda, director, Methodology Development Office, Global Development Group at Socionext. "We're very excited by the Synopsys DesignDash analytics solution as a systematic way to capture, consume and evaluate our vast design activity in a scalable way, enabling us to share and transfer expert knowledge across our worldwide design teams to enhance productivity and efficiency." Unlocking the Potential Within Vast Volumes of Digital Design Data The digital design flow holds a wealth of information from myriad sources that, properly utilized, could help teams optimize increasingly complex designs faster. According to Gartner® Inc., "By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical- and domain-specific augmented analytics solutions."1. The introduction of Synopsys DesignDash is the latest step in a multi-year, multi-disciplinary development effort to address the need for exponential gains in design productivity in the face of massive growth in system complexity, shrinking market windows and an increasingly challenging resource landscape. The cloud-optimized Synopsys DesignDash design optimization solution greatly enhances design productivity by: Providing extensive real-time design status through powerful visualizations and interactive dashboards. Deploying deep analytics and machine learning to extract and reveal actionable understanding from vast volumes of structured and unstructured EDA metrics and tool-flow data. Quickly classifying design trends, identifying design limitations, providing guided root-cause analysis and delivering flow consumable, prescriptive resolutions. With deeper design insights, designers can achieve more effective debug and optimization workflows, realize improved quality of results (QoR) and significantly extend overall design- and project-flow efficiency and effectiveness. This extensive insight and real-time visibility additionally deliver comprehensive resource monitoring and tracking that spans all design activities, enabling more data-driven management and risk mitigation throughout the design process. Synopsys DesignDash is natively integrated with the Synopsys Digital Design family of products for seamless data capture, resulting in insights that further accelerate the path towards design closure. The solution complements the Synopsys SiliconDash product, part of the Synopsys Silicon Lifecycle Management Family, forming a pre-silicon to post-silicon data continuum, maximizing opportunities for valuable data analysis across the complete design-to-silicon lifecycle. "SoC complexity across all application niches continues to rise as more functionality and performance is required. "Through the data analytics and machine learning capabilities of the Synopsys DesignDash technology, engineering teams now have an efficient way to share and utilize valuable insights that would otherwise take hours of manual work to compile or, in some cases, not be accessible." Karl Freund, founder, and principal analyst at Cambrian-AI Research "The semiconductor industry needs a dramatic improvement in design process productivity. Improving the quality and speed of engineering decisions with a comprehensive EDA data analytics platform is a critical step in this direction," said Sanjay Bali, vice president of Marketing and Strategy for the Silicon Realization Group at Synopsys. "Synopsys DesignDash unlocks the potential of the significant and growing volumes of EDA metrics and design-flow data, heralding a new era in smarter IC design by deploying an expanse of advanced data analytics and targeted machine learning to effectively guide design teams to achieve or exceed their product goals and schedules." About Synopsys Synopsys, Inc. is the Silicon to Software™ partner for innovative companies developing the electronic products and software applications we rely on every day. As an S&P 500 company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and offers the industry's broadest portfolio of application security testing tools and services. Whether you're a system-on-chip (SoC) designer creating advanced semiconductors, or a software developer writing more secure, high-quality code, Synopsys has the solutions needed to deliver innovative products.

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Spotlight

In today’s fluctuating markets, business executives are finding opportunities and challenges in almost equal measure. Over 65% of the CEOs that responded to PwC’s 2015 US CEO survey reported they are seeing more opportunities now compared with three years ago, but 60% also see more threats.1 One thing is certain: markets are changing more rapidly than ever, and the organizations that survive will be those that focus on value and efficiency. Those that convert their savings to opportunity will thrive. The lean times of the last decade have brought a renewed focus on total cost of ownership (TCO), and understandably so: an accurate assessment of the direct and indirect costs of owning a data center asset throughout its lifecycle is fundamental to decision-making. But IT budgets have increased each year since 2011 and astute business leaders now view TCO through a different lens, considering not only the cost of owning an asset but also its value to the organization.2 Their goal is not arbitrary costcutting but resource optimization to extract maximum value from every asset.

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