Informatica Acquires Compact Solutions, Strengthening Its Enterprise Data Catalog and Accelerating Analytics

Informatica | July 03, 2020

Informatica®, the enterprise cloud data management leader, today announced it has acquired Compact Solutions LLC to bring expanded metadata management to the Informatica Intelligent Data Platform™, powered by the CLAIRE™ AI engine. The acquisition strengthens Informatica's current leadership in metadata-driven AI and automation and extends capabilities that enable Informatica customers to catalog and govern virtually all types of enterprise data, including complex enterprise systems (e.g. mainframe), multi-vendor ETL, hand-coded scripts, and BI tools, in addition to databases, applications, data warehouses and data lakes. Using Informatica Enterprise Data Catalog with the advanced metadata connectivity from Compact Solutions accelerates analytics, data governance, privacy and data warehouse modernization initiatives by understanding and prioritizing all data and how it should be processed and migrated.

"In today's environment, companies are being forced to achieve digital transformation far faster than they ever planned or anticipated. As such, Chief Data Officers need AI-powered data governance tools to simplify the entire process of managing, cataloging and governing data so they can be successful," said Amit Walia, CEO of Informatica. "This acquisition will further extend and accelerate Informatica's leadership in metadata-driven AI and automation, and support our strategy to deliver on Data 4.0 for today's CDOs, helping them not only survive, but thrive in the rapidly changing business landscape today."

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DATA VISUALIZATION

Next Generation of Tableau Cloud Brings Advanced Analytics and Automated Insights to Business Users

Tableau Cloud | May 17, 2022

Today, at the annual Tableau Conference, Salesforce introduced Tableau Cloud, the fastest and easiest way for customers to get the full value of Tableau at enterprise scale. The offering is the next generation of what was formerly known as Tableau Online and includes new innovations to boost productivity by delivering intelligent, powerful and easy-to-use analytical tools to help anyone uncover insights and confidently make data-driven decisions. An integral part of the Salesforce Customer 360, Tableau empowers customers to surface and gain actionable insights from all their trusted data, creating a single source of truth, accessible anytime, anywhere. Market volatility and widespread supply chain disruptions make it increasingly challenging for companies to contain costs and keep their businesses moving forward. Data can help manage these complexities and changes. For example, connected supply chains and production lines generate a wealth of data and customers expect real-time visibility into when goods will arrive. A recent McKinsey study found a strong correlation between the success of an organization's planning and adoption of advanced analytics. Data-driven supply chain management offers new ways to avoid disruption and respond to unforeseen circumstances with speed and confidence. Tableau Cloud provides the leading analytics platform to meet customers where they prefer to operate their business. In fact, 70 percent of new customers choose Tableau Cloud over an on-premise or hybrid solution to power their analytics. Tableau also continues to offer self-managed solutions and is committed to providing customers the flexible options they need. "Speed, ease of use and flexibility have been key differentiators for Tableau and the reasons why customers rely on us to help transform their business through data-driven decision making and increased efficiency, With Tableau Cloud, we're making it easier for our customers to drive even more analytics success. Tableau Cloud helps our customers deliver the analytics they need to their users, while we ensure the highest levels of trust, availability and performance." -Francois Ajenstat, Chief Product Officer, Tableau at Salesforce. As part of the launch, Tableau is working with Snowflake to provide an extended promotional trial which includes Tableau Cloud licenses for Snowflake customers and, subject to program requirements, Snowflake credits upon conversion to a Tableau Cloud customer. New Tableau innovations delivers automated insights faster and more easily Tableau leverages the leading natural language and augmented analytics capabilities to help everyone use data to drive meaningful decisions. Data Stories adds automated plain-language explanations to Tableau dashboards at scale, helping customers understand and interact with data faster. Automating the analysis, build and communication of insights from data in a modern, easy-to-understand story format eliminates the need to explain dashboards repeatedly, makes data more accessible to business users and helps increase analytics adoption across the enterprise. Tableau is also expanding its Accelerators offering and the capabilities of the Tableau Exchange, a trusted hub of offerings that extend the Tableau Platform and help customers get faster time to value. Accelerators are ready-to-use, customizable dashboards that can be used across multiple industries, departments and enterprise applications to quickly deliver insights and value. Tableau now has more than 100 Accelerators on the Tableau Exchange, including those built by experts across the Tableau Partner Network, further expanding the unique use cases customers can apply. The Tableau Exchange also features a new in-product capability, enabling customers to explore and use any offering from the Tableau exchange directly in the product without requiring a separate download. This keeps people in the flow and enables them to get the right solution when they need it. New enterprise-ready capabilities to increase efficiency Tableau is also introducing Advanced Management, which helps Tableau customers manage, secure and scale mission-critical analytics across the enterprise. Administrators can gain deep insight into adoption and performance, leverage advanced encryption capabilities to meet security requirements and gain increased capacity limits to ensure teams and individuals have access to relevant data. Examples include: Customer-Managed Encryption Keys helps customers meet organizational compliance standards and add an additional layer of protection for their data. Activity Log provides detailed event data to help administrators keep track of how individuals are using Tableau. It also enables permission auditing to better implement controls over an enterprise's deployment. And with Admin Insights, data is retained for up to one year to help track dataset usage, license adoption and visualization load times. "Data is critical to delivering on the promise of leveraging mRNA science to create a new generation of transformative medicines for patients, Security, governance, scalability and manageability are important components of our overall data analytics strategy and we're excited to see how Advanced Management will make it easier and faster to optimize our deployment." -Adam Mico, Principal, Data Visualization and Enablement at Moderna. Bringing Einstein into Tableau delivers deeper insights across the Salesforce Customer 360 Tableau is also helping drive the Salesforce Customer 360 and empowering customers to fully leverage their data to gain actionable insights from their CRM data. Powered by Einstein Discovery's artificial intelligence (AI) and machine learning (ML) technology, Tableau is helping people with domain expertise make better decisions faster and with more confidence. For example, Model Builder enables business teams to collaboratively build and consume predictive models, using the Einstein Discovery engine, without having to leave their Tableau workflows. Infusing Einstein Discovery into CRM Analytics, the advanced analytics solution for CRM users, will help customers surface actionable insights directly in the Salesforce workflow: Einstein Discovery: Text Clustering leverages machine learning (ML) models to extract keywords from large text fields to quickly reveal hidden insights and improve decision making. Einstein Discovery: Bias Detection for multiclass models expands the use-cases for multi-class models by rooting out bias by variable, preventing the need to re-train an entire model. More information: Tableau's new capabilities will be available by the end of 2022 About Tableau Tableau helps people see and understand data. Tableau offers visual analytics with powerful AI, data management and collaboration. From individuals to organizations of all sizes, customers around the world love using Tableau's advanced analytics to fuel impactful, data-driven decisions. For more information, please visit www.tableau.com. About Salesforce Salesforce, the global CRM leader, empowers companies of every size and industry to digitally transform and create a 360° view of their customers.

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ENTERPRISE BUSINESS INTELLIGENCE

Tech Mahindra and Subex Partner to Drive Scale Adoption of Blockchain-based Solutions for Telecom Operators Globally

subex | November 05, 2020

Tech Mahindra, a leading provider of digital transformation, consulting, and business re-engineering services and solutions, and Subex, an industry leader in providing services based on Digital Trust, have announced strategic partnership to roll-out blockchain based solutions for telecom operators globally. These solutions will enable fraud mitigation and drive operational efficiencies for communication service providers (CSP) by reducing compliance complexities and faster time-to-market. The partnership will enable real-time reconciliation reports with summarized data to minimise discrepancies, leading to reduction of multiple validations and quick dispute resolution through tamper-proof verifiable transactions. Further this collaboration will expedite settlement for communication service poviders (CSPs) and drive enhanced visibility in the end-of-the-month billing cycle. The CSPs will benefit from enhancedoperational efficiencies by leveraging blockchain based smart contracts and forge more impactful alliances to drive trust amongst diverse stakeholders. Rajesh Dhuddu, Blockchain and Cybersecurity Practice Leader, Tech Mahindra, said, “Being a service provider of choice for global telecom operators, Tech Mahindra will help reduce overheads and enhance business profitability. As part of TechMNxt Charther, Tech Mahindra aims to offer a cutting-edge solution built on Blockchain and smart contracts that optimizes spends and proactively mitigates disputes. In the collaboration with Subex, adding blockchain as the middleware will add the necessary layer of security and ensure faster and efficient operational process. ” Tech Mahindra will roll-out solutions for telecom operatorsbacked byits provencapabilities in operations support systems (OSS) and business support systems (BSS) domain. The solutions will be integrated with Subex’s blockchain network and the capabilities of an enterprise-grade DLT (Distributed Ledger Technology) network. Further, Tech Mahindra plans to extend the existing intercarrier settlement implementation in phase-II to include roaming agreements through smart contracts and thereby lead to reduced cost of operations, faster turnaround times and minimize disputes. Rohit Maheshwari, Head – Strategy & Products, Subex, said, “It is indeed a great pleasure for Subex to be joining hands with Tech Mahindra, towards making Blockchain a business reality within the telecom world. With Subex’s strategy of enabling businesses to build trust within the digital ecosystem, we believe that Blockchain-based technologies will play an important piece to that puzzle. Towards this, we have made significant strides towards leveraging Blockchain in solving challenges across multiple use cases. Considering Tech Mahindra’s visionary stance towards Blockchain, and their renowned leadership towards driving digital transformation projects built upon the technology, we believe that this partnership will go a long way towards increasing the adoption of Blockchain within the telecom industry.” As part of the TechMNxt charter, Tech Mahindra has a deep focus on leveraging cutting-edge technologies deliver enhanced experience to our customers and is currently engaged with multiple service providers globally on their network transformation journey. About Subex Subex is a pioneer in enabling Digital Trust for businesses across the globe. Founded in 1994, Subex has spent over 25 years in helping global Communications Service Providers maximize their revenues and profitability. Focusing on privacy, security, risk mitigation, predictability, and confidence in data, Subex helps businesses embrace the disruptive changes in the business landscape and succeed with Digital Trust. Subex leverages its award-winning product portfolio in areas such as Revenue Assurance, Fraud Management, Network Analytics, and Partner Management, and complements them through its digital solutions such as IoT Security and Insights. Subex also offers scalable Managed Services and Business Consulting services. Subex has more than 300 installations across 90+ countries.

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BIG DATA MANAGEMENT

CQG to Roll Out Newest Trading and Analytics Platform, CQG One

CQG | March 14, 2022

CQG, a leading global provider of high-performance technology solutions for traders, brokers, commercial hedgers and exchanges, announced today the phased roll-out of its newest trading platform, CQG One. Designed for professional traders and institutional investors, the new cloud-based CQG One combines the ease of use of the firm's retail-oriented CQG Desktop platform with many of the popular market data, charting, visualization and advanced analytics features of CQG Integrated Client, its flagship professional trading platform. A multi-asset, multi-broker platform, CQG One will be available through traders' futures commission merchants (FCMs) beginning in April, with new functionality added throughout the year. CQG President Ryan Moroney said: "We're excited to bring CQG One to market after gathering extensive input from our users on what features they most want in our new platform. This will be as intuitive and easy to deploy, configure and use as CQG Desktop but with advanced charting, market analytics and trading functionality, along with the CQG depth and breadth of market data utilized by our largest and most sophisticated institutional clients." "CQG One is an ultra-fast, secure platform that traders will be able to access from anywhere to leverage technical analysis tools and execute transactions with a single click on markets all over the world. We will continuously update it through our HTML5 cloud infrastructure in a way that's seamless to users." Marcus Kwan, CQG Vice President, Product Strategy & Design The new platform will include premium functionality such as: Single-click trade entry Advanced charting and analytics Portfolio sharing Window linking, and drag-and-drop tabs Highly secure, consolidated real-time and life-of-contract historical market data feeds from more than 75 global sources Access to CQG Algos, a comprehensive set of pre-built algorithmic order types New analytics features, custom formulas, price alerts and a spreader later in 2022 Institutional clients will be able to utilize a Windows-installed version of CQG One in the future. About CQG CQG provides the industry's highest performing solutions for traders, brokers, commercial hedgers and exchanges for their market-related activities globally, including trading, market data, advanced technical analysis, risk management, and account administration. The firm partners with the vast majority of futures brokerage and clearing firms and provides Direct Market Access (DMA) to more than 45 exchanges through its global network of co-located Hosted Exchange Gateways. CQG technology serves as the front end for a variety of exchanges and is increasingly employed as the over-the-counter matching engine for important new markets. CQG's server-side order management tools for spreading, market aggregation, and smart orders are unsurpassed for speed and ease of use. Its market data feed consolidates 85 sources, including exchanges worldwide for futures, options, fixed income, foreign exchange, and equities, as well as data on debt securities, industry reports, and financial indices. One of the longest-serving technology solutions providers in the industry, CQG has won numerous awards for its trading software, technical analysis and multi-asset trading platform. CQG is headquartered in Denver, with 16 sales and support offices and data centers in key markets globally.

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DATA SCIENCE

Introducing Neo4j Graph Data Science as a Service

Neo4j | April 13, 2022

Neo4j®, the world's leading graph data platform, announced Neo4j Graph Data Science, the company's comprehensive graph analytics workspace built for data scientists, is now available with new and enhanced capabilities, and as a fully managed cloud service called AuraDS. AI and machine learning (ML) have propelled the use of predictive data architectures and their application across a broad range of use cases like recommendation engines, fraud detection, and customer 360 scenarios. The accuracy of these models is highly correlated to the completeness of context. Neo4j Graph Data Science is designed to make it easy for data scientists to achieve greater predictive accuracy with comprehensive graph analysis techniques. Users can improve models through a library of graph algorithms, ML pipelines, and data science methods. Neo4j Graph Data Science has been widely adopted and is trusted to perform at scale, easily handling hundreds of billions of nodes and relationships. "Neo4j Graph Data Science offerings help developers offer better predictions and stronger recommendation engines to business users. Customers can now deploy Graph Data Science on Google Cloud's trusted, global infrastructure, gaining the ability to seamlessly scale based on business needs, and bringing their data closer to BigQuery and Google Cloud's capability in AI, ML, and analytics. Ritika Suri, Director, Technology Partnerships at Google "More software developers are looking to data science for ways to offer better predictions and stronger recommendation engines to users. Google Cloud and Neo4j Graph Data Science products help software developers and data scientists who are building the world's next set of intelligent applications by leveraging the power of graph algorithms to bring context to data and improve their models," said Suri. Neo4j Graph Data Science makes it easy for data scientists to work within their existing data pipeline of tools across their ecosystem. Data scientists can use Neo4j Graph Data Science on-premises, and now as a fully managed SaaS solution via Neo4j AuraDS. According to Zack Gow, CTO of Orita, Neo4j Graph Data Science has enabled his team to be more responsive to customer needs. "Scale is always top of mind for us because we're processing data that comes from our customers. We never know just how big a customer's data set will be and we chose Neo4j because we knew it could handle the scaling of an order of magnitude more than what we were expecting," Gow said. "Even in the early days, when we were trying out a bunch of tools, Neo4j worked for us immediately. Some of the tools we looked at didn't work at all. Neo4j Graph Data Science got our data into a graph so we could start doing the data science part quickly. As a start up, we don't have time to waste on tools that are cumbersome." Matthew Bernardini, CEO of Zenapse, shared the impact of Neo4j Graph Data Science on his business. "We chose Neo4j Graph Data Science on AuraDS because it is a completely managed, cloud-based infrastructure combined with an elegant and user-friendly set of tools and extensive library of production-ready data science algorithms that gives us confidence in our platform and allows us to focus on our data and application development," said Bernardini. "Neo4j Graph Data Science makes it easy to quantify the relationships and similarities that exist in the digital world and to surface new insights about these connected relationships." Neo4j AuraDS: Graph Data Science on Google Cloud Platform Neo4j AuraDS is the power of Graph Data Science available as a fully managed service. It includes access to over 65 graph algorithms in a single workspace so data scientists can experiment faster. In-graph ML models and the native Python client help increase productivity and simplify workflows. Neo4j AuraDS is available first on Google Cloud's secure, global, and highly performant structure, and can be paid for with existing Google Cloud commitments or with a credit card. In addition to the Graph Data Science core functionality, AuraDS customers benefit from: Simple, powerful workflow: A drag-and-drop UI to model and import data into a graph. Scale up and down: Manage access to high compute hardware on-demand as needs change. Automated operations: Workloads are monitored, patched, and backed up behind the scenes without any user action. MLOps support: Persist, publish, and restore models without interruptions from restarts. Predictable cost: Manage costs with pay-as-you-go pricing and the option of pausing unused instances. One-click backup: Take a snapshot of instances, models, and in-memory graphs in one click. For guidance and reference architectures on how to get started using Neo4j AuraDS with VertexAI, see Use graphs for smarter AI with Neo4j and Google Cloud Vertex AI. More About Neo4j Graph Data Science and AuraDS To learn more about Neo4j Graph Data Science as a service, AuraDS, read this blog post or tune in to an upcoming webinar, "What's New in Graph Data Science: Faster and Easier Than Before," on Tuesday, April 26, 2022. About Neo4j Neo4j is the world's leading graph data platform. We help organizations – including Comcast, ICIJ, NASA, UBS, and Volvo Cars – capture the rich context of the real world that exists in their data to solve challenges of any size and scale. Our customers transform their industries by curbing financial fraud and cybercrime, optimizing global networks, accelerating breakthrough research, and providing better recommendations.

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Spotlight

Everyone has an opinion on the best way to learn data science. Some people start with statistics or machine learning theory, some use R, and some use libraries like scikit-learn.

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