BIG DATA MANAGEMENT

Clarity AI’s Sustainability Data and Capabilities Will Support BlackRock’s Enterprise SFDR Reporting

Clarity AI | June 01, 2022

Clarity AI
Clarity AI, the global sustainability tech platform, announced today that their sustainability data, integrated into BlackRock’s Aladdin platform, is being utilized in preparation for BlackRock’s enterprise reporting for the Sustainable Finance Disclosure Regulation (SFDR) framework. BlackRock will leverage Clarity AI capabilities, data and expertise to facilitate efficient and accurate reporting on Principal Adverse Impact (PAI) indicators. PAI indicators are a set of specific ESG metrics mandated by the European Union as part of SFDR, which imposes granular sustainability disclosure obligations for asset managers and other financial market participants.

“We are thrilled to deepen our client relationship with BlackRock. “As part of our comprehensive sustainability tech kit, we are uniquely positioned in the market to deliver everything required for regulatory reporting, including SFDR, EU Taxonomy, UK Taxonomy, TCFD and MiFID II. Financial market participants of any size can leverage these capabilities via custom, easy integrations or our off-the-shelf web app.”

Rebeca Minguela, Founder & CEO of Clarity AI

Clarity AI’s market-leading SFDR coverage encompasses more than 49,000 companies, and its capabilities allow for portfolio aggregation and multi-asset look-through to more than 220,000 funds, including ETFs. All data is fully granular, which allows for better understanding of underlying calculations for each SFDR PAI. Should they choose to, financial market participants will be able to access these capabilities and data within their own configuration of Aladdin and leverage them as an input according to their own portfolio and reporting needs.

"Deepening our partnership with Clarity AI is an exciting step forward for BlackRock and will provide us the ability to offer Aladdin users enterprise level reporting for SFDR,” said Stéphane Lapiquonne, Managing Director at BlackRock and Head of Sustainability for Europe, Middle East and Africa. “The depth and transparency behind Clarity AI data can help Aladdin users better understand exposures to the PAI metrics across their portfolios.”

About Clarity AI
Clarity AI is a sustainability technology platform that uses machine learning and big data to deliver environmental and social insights to investors, organizations, and consumers. As of May 2022, Clarity AI’s platform analyzes more than 49,000 companies, 220,000 funds, 198 countries and 188 local governments, and delivers data and analytics for investing, corporate research and reporting. Clarity AI has offices in North America, Europe and the Middle East, and its client network manages tens of trillions in assets under management. Clarity AI’s minority investors include, but are not limited to, Deutsche Börse, BlackRock, and SoftBank.

Spotlight

This talk is one of the lightning talks from Oracle Midlands #4 (14th July 2014). Salih talks about Oracle Big Data Appliance. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.


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BIG DATA MANAGEMENT

Factored Partners With dbt Labs to Strengthen Data Analytics Workflows and Generate Informative Insights

Factored | June 30, 2022

Factored, a leader in data-centric AI helping tech unicorns and high-profile tech companies to build high-caliber data engineering, machine learning and data analytics teams, announced today that it has partnered with dbt Labs. The collaboration with this pioneer of analytics engineering will drive business value for Factored clients by allowing them to transform and test all of their data to help disseminate insight and organizational knowledge. Thanks to the partnership, Factored engineers and analysts can efficiently collaborate across data platforms to successfully transform, test and utilize data to generate dynamic and informative business insights and ultimately fuel growth. Factored engineers are experienced working with dbt, which allows Factored clients to apply this framework to their operations. The partnership enhances cross-functional participation, data interpretability and efficiency in decision making and solution implementation for Factored's clients. dbt is an analytics engineering framework that transforms raw data in the warehouse to make it easier to use for analysis. It allows data teams to shorten the transformation path from raw data in the warehouse to crucial business insights. dbt empowers data analysts and analytics engineers to orchestrate ELT pipelines using software engineering best practices like CI/CD, documentation, logging and alerting. The partnership will allow Factored engineers and analysts to leverage both dbt Core and dbt Cloud to bring the benefits of clean, documented and tested data to business users everywhere. "Our goal at dbt Labs is to make it easier for data teams to distill and disseminate organizational knowledge," said Amos Budde, Head of Services Partnerships at dbt Labs. "Having partners like Factored helps our customers get the most out of dbt and we are excited to be partnering with them." "We are excited to partner with dbt Labs and continue helping businesses clean, organize and glean insights from their data using the most vanguard tools. At Factored, we are committed to building and deploying the most powerful data and AI solutions for our clients and dbt Labs' analytics engineering tools are helping us accomplish this." Israel Niezen, Factored CEO Since its founding in 2019, Factored has seen fast-paced growth based on the world's increasing need for rigorously trained and highly expert data science professionals. Today, Factored is one of the biggest data science companies in Latin America. About Factored Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select and build world-class data science, machine learning and AI engineering teams much faster and more cost-effectively. Factored engineers have been personally vetted, educated and mentored by some of the most talented AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.

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BUSINESS STRATEGY

ThoughtSpot and Matillion Partner to Enable Rapid Delivery of Insights with Low-Code Data Integration and Live Analytics SpotApps

ThoughtSpot | June 15, 2022

ThoughtSpot, the Modern Analytics Cloud company, and Matillion, the leading enterprise cloud data integration platform announced today their joint partnership to provide data model templates and Live Analytics to help data teams working in the cloud get up-to-date data insights in minutes. Organizations can leverage ThoughtSpot SpotApps, prebuilt solutions for specific use cases powered by Matillion’s data transformation platform, to accelerate time to value and give more users access to the data they need. Companies of all sizes struggle to turn their dynamic, distributed, and diverse data into insights, and those insights into actions. The data pipelines built in the last decade fail to deliver the agility, flexibility, or intuitiveness required by modern businesses. Often, the go-to solution to migrate data into the cloud involves manually extracting and preparing the data, a code-intensive process that is complex and time-consuming. 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We set out on a mission to find a best-of-breed cloud-first analytics solution to extract the business most value from the massive amounts of data we had in front of us,” explained Travis Lehn, Senior Manager of Data & Analytics at Sargento Foods, Inc. “After a rigorous selection process, we ultimately chose a stack that scales analytics across our business and provides self-service capabilities to our diverse user base.” “ThoughtSpot’s experience layer capabilities empower anyone to use search and AI to uncover powerful business insights with Live Analytics and are the perfect pairing for the data extraction, transformation and readiness that Matillion provides in the ELT layer. “Through this partnership, we are dramatically reducing the stress and headache of building data pipelines and launching new analytics use cases, accelerating time to value for our customers in their data consumption and modern data stack journeys.” Kuntal Vahalia, SVP of Worldwide Channel and Alliances “Today’s modern data teams are burdened with the maintenance, migration, and preparation of data to perform analytics. Matillion and Thoughtspot alleviate that burden using low-code and no-code templates to accelerate time to insights,” said Ciaran Dynes, Chief Product Officer at Matillion. “Now data teams can focus on innovation to use data for advanced use cases to drive the business forward.” About ThoughtSpot ThoughtSpot is the Modern Analytics Cloud company. Our mission is to create a more fact-driven world with the easiest to use analytics platform. With ThoughtSpot, anyone can leverage natural language search and AI to find data insights and tap into the most cutting edge innovations the cloud data ecosystem has to offer. Companies can put the power of their modern data stack in the hands of every employee, extend the value of their data to partners and customers, and automate entire business processes. 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Optimized for modern enterprise data teams, only Matillion is built on native integrations to cloud data platforms such as Snowflake, Delta Lake on Databricks, Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse to enable new levels of efficiency and productivity across any organization.

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BIG DATA MANAGEMENT

Alpha Serve Has Released Power BI Connector on ServiceNow Store

Alpha Serve | June 07, 2022

Alpha Serve has created the Power BI Connector to help organizations add their ServiceNow information as a data source to Power BI and be able to use it for their specific business reporting and analytics needs. Microsoft Power BI is a powerful data visualization tool that allows companies to accelerate the integration of all the needed data sources for further analysis and reporting. And the insights received with the tool help to develop and implement smart business decisions. ServiceNow, in its turn, is a comprehensive cloud platform that helps companies manage digital workflows for their business operations. It combines lots of solutions, including those for automation, analysis, resource management, etc., and allows connecting people, functions, and systems across the organization. Typically, to connect these two tools, teams use Rest API or CSV files, but the procedure may require additional resources and coding skills. And the solution has a lot of limitations, in particular, limited data amount. Power BI Connector is the first application of its kind on the ServiceNow Store allowing direct Power BI ServiceNow integration. The app allows users to export ServiceNow data to Power BI for further processing as well as to add ServiceNow to other data sources with Power Query for complex reporting. Power BI Connector has advanced filtering options for more precise and relevant information selection and ensures secure data sharing by setting permissions and access. Professional tech support is also available to help users get the most out of the tool. It will be especially useful for data analysts and agile teams that need consolidated reporting across all business functions. "We are happy to present a new BI integration solution — Power BI Connector. The plugin links ServiceNow with Microsoft's most powerful business intelligence platform Power BI. We have noticed that IT companies use dozens of products in their everyday routine to manage the workflow and are continuously looking for applications connecting all their tools to maintain effective production and optimize company processes. That's why we decided to create a new application which has no analogs in the ServiceNow Store." Anna Odrynska, the Alpha Serve's Chief Strategy Officer Alpha Serve is a leading software development company with the main focus on product integrations and BI connectors. It is a reliable contractor of IT enterprises and a ServiceNow Technology Partner. The company's main goal is to transform technological expertise into valuable solutions with proven scalability, performance, and high-level data security that help businesses to improve customer satisfaction and effectiveness.

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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

This talk is one of the lightning talks from Oracle Midlands #4 (14th July 2014). Salih talks about Oracle Big Data Appliance. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.

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