BIG DATA MANAGEMENT

Software AG, SAP partner on industry 4.0 data

Software AG | February 24, 2021

Software AG and SAP have partnered to better surface supply chain management data with the aim of improving product quality.

The news, which landed as Software AG held its Capital Markets Day, highlights how multiple players are forming partnerships to focus on the industry 4.0 market.

Software AG's alliance with SAP will combine SAP's S/4HANA Cloud with Software AG's TrendMiner, which is self-service industrial analytics software for smart factories.

According to the companies, the partnership will bring sensor-generated time-series data into the analytics and operational performance fold.

Software AG in January reported bookings growth of 31% in the fourth quarter and 24% for 2020. Digital transformation drove demand for Software AG.

For 2020, Software AG reported revenue of €834.8 million, down 3.8% from a year ago. Net income (non-IFRS) was €125.4 million.

Software AG said that it will "double down on its existing strategy by focusing on five priority areas, namely: continuing to develop its subscription growth engine, fostering product innovation, driving internal simplification to improve productivity, progressing the ongoing cultural transformation driving its success, and taking a more proactive stance towards Mergers & Acquisitions."

Spotlight

In the next 5 years, machine learning will play an increasingly important role in healthcare. Whether it's aggregating new results in medical journals using Natural Language Processing, predicting diseases using Time-Series Analysis, or detecting cancer from MRIs using Machine Vision, healthcare is on the verge of a big data revolution. The purpose of this course will be to introduce you to these topics and more. We start from the basics of machine learning and guide you through how to apply these techniques to real-world healthcare applications. Whilst this course uses healthcare use cases as examples, the techniques are general and apply to a wide range of industries and scientific fields.

Spotlight

In the next 5 years, machine learning will play an increasingly important role in healthcare. Whether it's aggregating new results in medical journals using Natural Language Processing, predicting diseases using Time-Series Analysis, or detecting cancer from MRIs using Machine Vision, healthcare is on the verge of a big data revolution. The purpose of this course will be to introduce you to these topics and more. We start from the basics of machine learning and guide you through how to apply these techniques to real-world healthcare applications. Whilst this course uses healthcare use cases as examples, the techniques are general and apply to a wide range of industries and scientific fields.

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BIG DATA MANAGEMENT

Zoho Transforms Relationship Between Businesses and Their Data by Introducing New Self-Service Platform

Zoho Corporation | July 14, 2021

Zoho Corporation today launched its Business Intelligence (BI) Platform- an AI-driven data analytics solution that empowers businesses to surface precise and actionable insights via self-service data preparation and augmented analytics. The newly launched Zoho DataPrep when combined with an upgraded version of Zoho Analytics, Zoho’s end-to-end self-service BI Platform enables organizations to cleanse, unify, and analyze cross-departmental data, obtain an encyclopedic view of the company, and ultimately move toward a more competitive business strategy based on real-time insights. The BI platform brings together pre-built visual dashboards, comprehensive data integrations, data preparation, augmented and embedded BI, security and privacy capabilities, flexible deployment models (cloud or on-premise), and scalability. The four standout pillars of this platform which allows businesses to perform better and remain competitive in their industries have been listed below: 1. Augmented Data Prep and Management – A new application called Zoho DataPrep is an AI and machine learning-driven self-service data preparation tool. This addition to the BI Platform allows business users to create and manage data pipelines easily that allows them to integrate, model, cleanse, transform, enrich, and catalogue data before making it ready for analysis. 2. Data Stories- The Zoho BI platform offers an integrated enterprise portal builder (Zoho Sites) and presentation software (Zoho Show). Embedding live reports and dashboards into a website or presentation allows administrators to wrap additional context around data and foster more immersive discussion on business matters. Data Stories reduces friction within an organization so that businesses can be data-driven without needing to learn new tools. 3. Augmented Analytics- Zoho conversational AI, Zia, allows business users to surface data through natural language querying, with or without technical know-how. In addition to that, the all-new Zia Insights provides textual narration of key insights from reports and dashboards that significantly reduces the time and effort that is required to explore data and glean insights. It also includes what-if capability, enabling scenario analysis for effective decision-making. 4. Marketplace- Through the Zoho marketplace, Zoho is enabling partners to develop and publish analytical apps and integrations to complement Zoho Analytics users, thereby strengthening the BI and Analytics platform. Another dimension is the launch of deep native analytical apps, with domain-specific advanced analytics, in third-party marketplaces such as Shopify, ServiceNow and Atlassian. The new BI platform is built for scale and is extensible to more than 250 data sources which include Zendesk, HubSpot, Microsoft, Mailchimp, Stripe and Google, thus allowing businesses to integrate and analyze data sourced from diverse third-party systems. Data sources that blend with outside have always been the strength of Zoho Analytics, and a value demonstrated by the fact that 60% of existing users have chosen it as their BI tool while solely running on non-Zoho applications and data sources. This platform gives users on-demand insight into operational data to inform critical business decisions with the support of Zia. The AI assistant augments data preparation and visualization by utilizing natural language querying and generation, text narration of key insights from reports and dashboards, and cognitive and advanced analytics. These capabilities make it easier to capture actionable data insights to boost operational efficiency and productivity. More than 50,000 organizations are already using Zoho Analytics. It has steadily been one of the company’s fastest-growing products. Zoho Analytics has grown by 30% YoY with a 40% YoY increase in the enterprise segment within the last two years. The application has seen a 10% jump in customers switching from competitive platforms. Also, 50% of the customers have chosen Zoho Analytics after evaluating multiple competitive BI products. With this new BI Platform, Zoho expects above 45% YoY revenue growth. About Zoho Zoho Corporation is one of the world's most prolific software companies with more than 50 apps in nearly every major business category, including sales, marketing, customer support, accounting and back-office operations, and an array of productivity and collaboration tools, It is privately held and profitable with more than 9,000 employees. Zoho is headquartered in Austin, Texas, with international headquarters in Chennai, India. Additional offices are in the United States, India, Japan, China, Singapore, Mexico, Australia, the Netherlands, and the United Arab Emirates.

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BIG DATA MANAGEMENT

Cognizant Acquires Inawisdom to Improve Business Outcomes

Cognizant | December 23, 2020

Cognizant (Nasdaq: CTSH) today announced it has acquired Inawisdom, a UK-based, secretly held consultancy specializing in artificial intelligence, AI, and data analytics to help organizations improve, quicker choices that improve business results. Inawisdom centers around conveying cloud-local, full-stack arrangements utilizing demonstrated counseling strategies and an analytics and AI stage fabricated utilizing Amazon Web Services (AWS). Monetary subtleties were not uncovered. Inawisdom denotes Cognizant's ninth procurement in 2020 to grow capacities for customers universally in the key center regions of data and artificial intelligence, cloud, computerized designing, and Internet of Things. Cognizant has contributed more than $1.1 billion this year alone for acquisitions in these zones. "Businesses succeed or fail by the speed and quality of their decisions, ­and the best business decisions are informed by data and AI," said Malcolm Frank, President, Digital Business, Cognizant. "We are pleased to welcome Inawisdom's skilled team to Cognizant and further accelerate our innovation on data modernization and intelligent decision-making. Cognizant and Inawisdom's clients will benefit from our shared, deep relationships with AWS and our combined expertise with AI, machine learning, cloud, and data analytics." "As a committed and proven expert in AI and machine learning, we are excited to join Cognizant and build on Inawisdom's unique combination of accelerators and skills," said Neil Miles, CEO, Inawisdom. "Our combined strength will further support customers in embedding data-driven decision-making into their organization, increasing their speed to business value and long-term market differentiation. Being part of Cognizant provides access to a wider, global network of AI and machine learning professionals, and a wealth of new capabilities that will expand our joint service offerings for successful data transformation." Inawisdom has built up the Rapid Analytics and Machine Learning Platform (RAMP), in view of AWS cloud innovation, to give a persistently developing and reusable code archive and quicken AI-driven business results. Utilizing RAMP, combined with its own Agile counseling approach, Inawisdom helps customers across numerous utilization cases from upgrading store network proficiency to improving client assistance and diminishing working expenses, frequently accomplishing results in no time. Inawisdom's customers remember organizations for an expansive scope of industry areas all through Europe and the Middle East. "AWS empowers millions of customers around the world to lower costs, become more agile, and innovate faster," said Doug Yeum, Head of Global Partner Organization, Amazon Web Services, Inc. "Organizations look to AWS partners like Cognizant and Inawisdom to help transform their data and analytics capabilities using AWS services. Cognizant and Inawisdom joining forces is a win for our customers, and we look forward to the industry and data science capabilities the Cognizant team will be able to offer our customers." Established in 2016, Inawisdom has tasks in the UK and the Netherlands. Through the procurement, Inawisdom will get together with Contino, another organization in Cognizant's Digital Business gathering, to give start to finish cloud-local AI and AI arrangements. London-based Contino, acquired by Cognizant in 2019, works in assisting customers with quickening their change to present day computerized organizations with big business DevOps strategies, a cloud-local improvement approach, and progressed data stages. Inawisdom is an AWS Premier Consulting Partner perceived by AWS for its AI and data and analytics aptitude, and for assisting customers with driving advancement and construct arrangements on the AWS stage. AWS named Inawisdom as APN Machine Learning Partner of the Year 2020 and APN Differentiation Partner of the Year 2019 in Europe. Cognizant's AWS Business Group is one of the biggest AWS-confirmed specialist networks on the planet. With in excess of 8,000 confirmed cloud experts supporting customers, Cognizant is perceived for its skill in hyperscale cloud procedure and usage, including being refered to as a Leader in Gartner's 2020 Magic Quadrant for Public Cloud Infrastructure Professional and Managed Services, Worldwide. About Inawisdom Inawisdom is a leader in artificial intelligence (AI) and machine learning (ML) and specializes in advanced analytics, business intelligence/market intelligence and data science. We provide full-stack Amazon Web Services (AWS) cloud and data services, including data lake and data platform through to engineering, predictive analytics and IoT. About Cognizant Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 194 on the Fortune 500 and is consistently listed among the most admired companies in the world.

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BIG DATA MANAGEMENT

Akamai Launches Linode Managed Database

Akamai | April 26, 2022

Akamai Technologies Inc., the cloud business that drives and protects life online, today announced the availability of a managed database service powered by Linode that supports MySQL, PostgreSQL, Redis, and MongoDB. Linode Managed Database from Akamai streamlines database deployment, assisting developers in reducing risk, increasing productivity, and reducing the complexity associated with manual administration of production database clusters. Linode users have most often requested managed databases. Following its purchase of Linode in March of this year, Akamai's first product launch in its compute line of business is the Linode Managed Database service, confirming its ambition to establish the world’s most powerful and distributed computing platform from cloud to edge. "Every web application needs a database. Being able to automate aspects of database management is critical for applications that need to be scalable, highly performant, and resilient. Linode Managed Database continues the important work, which began with Linode Kubernetes Engine – our managed Kubernetes service – of supporting developers, businesses, and partners by managing the day-to-day tasks of of mission critical components of their applications, allowing them to focus more on innovation and less on daily infrastructure management. With the click of a button, developers can have a fully managed database deployed and ready to be populated." Will Charnock, Senior Director of Engineering, Akamai, Compute Databases are the most important component of every program, yet maintaining them manually in production is a time-consuming and resource-intensive operation. Users could delegate typical deployment and maintenance chores to Linode and choose high availability options to guarantee that database performance and uptime are never compromised with Akamai's Linode Managed Database solution. As a consequence, less hands-on management knowledge is needed to install applications, and the risk of downtime is reduced as compared to manual administration. Akamai will initially provide Linode Managed Database for MySQL across all of Linode's 11 worldwide data centers, with PostgreSQL, Redis, and MongoDB support coming in the second quarter of 2022. Customers can take advantage of features such as flat-rate pricing, security and recovery measures, flexible deployment choices, and high availability cluster choices with each supported managed database.

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