The document outlines Oracle's Data Management Platform, including its conceptual architecture and solution components. The platform ingests data from various sources and stores it in a data lake and enterprise data store. It then applies machine learning, analytics, data mining and other techniques to discover insights and power applications. These applications include customer profiling, fraud detection, credit risk analysis, and more. The platform provides data integration, streaming analytics, storage, and advanced analytic capabilities.
Agile Mumbai 2022
Real-Time Insights and AI for better Products, Customer experience and Resilient Platform
Balvinder Kaur
Principal Consultant, Thoughtworks
Sushant Joshi
Product Manager, Thoughtworks
Unleash Your Data While Ensuring Governance and Security: Reporting, Prism, a...Workday, Inc.
For IT leaders, unlocking data is foundational to organizational success in a digital-first world. But what can you do to deliver data and insight to reduce the digital acceleration gap within your organization?
View this slide deck to learn:
How to unlock data for faster insights
How Workday Prism Analytics gives you the analytics you need in one secure place
How Workday strengthens partnerships with HR and finance
[Infographic] Cloud Integration Drivers and Requirements in 2015SnapLogic
SnapLogic and TechValidate queried more than 100 U.S. companies with revenues greater than $500 million about the business and technical drivers and barriers for enterprise cloud application adoption in 2015 and beyond.
You can also learn how the SnapLogic Elastic Integration Platform can help by going to www.SnapLogic.com/iPaaS.
A presentation meant to sway the perception of outsourcing for our prospective client regarding the building of a new product line. In Person Presentation Support
Agile Mumbai 2022
Real-Time Insights and AI for better Products, Customer experience and Resilient Platform
Balvinder Kaur
Principal Consultant, Thoughtworks
Sushant Joshi
Product Manager, Thoughtworks
Unleash Your Data While Ensuring Governance and Security: Reporting, Prism, a...Workday, Inc.
For IT leaders, unlocking data is foundational to organizational success in a digital-first world. But what can you do to deliver data and insight to reduce the digital acceleration gap within your organization?
View this slide deck to learn:
How to unlock data for faster insights
How Workday Prism Analytics gives you the analytics you need in one secure place
How Workday strengthens partnerships with HR and finance
[Infographic] Cloud Integration Drivers and Requirements in 2015SnapLogic
SnapLogic and TechValidate queried more than 100 U.S. companies with revenues greater than $500 million about the business and technical drivers and barriers for enterprise cloud application adoption in 2015 and beyond.
You can also learn how the SnapLogic Elastic Integration Platform can help by going to www.SnapLogic.com/iPaaS.
A presentation meant to sway the perception of outsourcing for our prospective client regarding the building of a new product line. In Person Presentation Support
A modern day data management platform driven by the evolved thought process and focus,
- From Data to Metadata engineering and Ontologies
- From Data Swamps to Data Products
- From Data for AI to AI for Data
- From Tech Debts to Data Monetization
Kaizentric is a Data Analytics firm, based in Chennai, India. Statistical Analysis is performed on a well-built client specific data warehouse, supported by Data Mining.
Semantic Applications for Financial ServicesDavidSNewman
This presentation provides an overview of the business and technical drivers for building financial service applications using Semantic Technology. Multiple use cases are provided as examples.
Digital revolution is disrupting businesses like never before! Ability to extract actionable insight from a large amount of disparate data has become the determining factor of competitive advantage! Everyday new business models are created around data and forcing the incumbents to reinvent themselves to be relevant. Consumer facing businesses felt this pressure early on but eventually every business need to be data driven. But what is the best strategy to address this digital disruption? Our experience says the core data infrastructure modernization is the logical starting point! In this session, we will share trends, strategies and our experience on rejuvenating data integration landscape to address digital disruptions.
Gdpr ccpa steps to near as close to compliancy as possible with low risk of f...Steven Meister
How to become GDPR & CCPA Compliant. See the complete 5 page GDPR, CCPA Compliancy Plan
Here is the CCPA / GDPR 3 Day Training PowerPoint - https://www.slideshare.net/StevenMeister/ccpa-and-gdpr-three-day-training-with-actual-deliverables-and-the-whys-and-hows-to-do-so
847-440-4439 https://www.youtube.com/channel/UC3F-qrvOIOwDj4ZKBMmoTWA?view_as=subscriber
GDPR 16 page PPT Plan - https://www.slideshare.net/StevenMeister/gdpr-ccpa-automated-compliance-spark-java-application-features-and-functions-of-big-datarevealed-april-version-35
https://youtu.be/JGoQwoicUxw
Comprehensive Metadata Catalog Video for GDPR / CCPA - https://youtu.be/xryESgfzRcc
Are you struggling to keep up with the evolving digital marketing landscape?
That’s where marketing technology – or MarTech – comes in. The right MarTech tools can help you automate tasks and streamline your workflow for better performance.
But how do you upgrade your MarTech stack to ensure you’re maximizing campaign effectiveness?
In this webinar, we’ll walk you through some of the leading tools and solutions you should consider including in your MarTech stack for 2023 and beyond.
Join iQuanti’s Vishal Maru, VP of Digital Solutions and Shaubhik Ray, Senior Director of Digital Analytics, as well as Tealium’s Josh Wolf, Director of Partner Solutions Consulting, as they discuss the implications, pros, and cons of the leading MarTech platforms.
Key Takeaways:
- How the MarTech landscape has evolved.
- Key considerations while selecting tools for your MarTech stack.
- Framework to assess your MarTech maturity.
The market is changing faster than ever, so make sure you don’t get left behind.
Not only is Artificial Intelligence and Machine Learning (AI/ML) becoming more mainstream in marketing, but new media such as over-the-top (OTT) and short-form video are also gaining traction – not to mention new privacy regulations, third-party cookie departure, Apple’s App Tracking Transparency (ATT) feature, and the launch of Google Analytics 4 (GA4).
Watch now and get the latest insights to inform your marketing strategy.
Unified Information Governance, Powered by Knowledge GraphVaticle
As a knowledge graph database, Grakn is ideal for storing metadata and data lineage information. Many applications, such as data discovery, data governance, and data marketplaces, depend upon metadata for management. User experiences can be enhanced by leveraging a hyper-scalable graph database like Grakn, rather than traditional graph databases. Additionally, inference-driven use cases predominantly depended on RDF Triple Stores, requiring additional plug-ins to derive the inferences. With Grakn, this can now be achieved natively.
Real time insights for better products, customer experience and resilient pla...Balvinder Hira
Businesses are building digital platforms with modern architecture principles like domain driven design, microservice based, and event-driven. These platforms are getting ever so modular, flexible and complex.
While they are built with architecture principles like - loose coupling, individually scaling, plug-and-play components; regulations and security considerations on data - complexity leads to many unknown and grey areas in the entire architecture. Details on how the different components of this complex architecture interact with each other are lost. Generating insights becomes multi-teams, multi-staged activity and hence multi-days activity.
Multiple users and stakeholders of the platform want different and timely insights to take both corrective and preventive actions.Business teams want to know how business is doing in every corner of the country near real time at a zipcode granularity. Tech teams want to correlate flow changes with system health including that of downstream stability as it happens.Knowing these details also helps in providing the feedback to the platform itself, to make it more efficient and also to the underlying business process.
In this talk we intend to share how we made all the business and technical insights of a complicated platform available in realtime with limited incremental effort and constant validation of the ideas and slices with business teams. Since the client was a Banking client, we will also touch base handling of financial data in a secure way and still enabling insights for a large group of stakeholders.
We kept the self-service aspect at the center of our solution - to accommodate increasing components in the source platform, evolving requirements, even to support new platforms altogether. Configurability and Scalability were key here, it was important that all the data that was collected from the source platform was discoverable and presentable. This also led to evolving the solution in lines of domain data products, where the data is generated and consumed by those who understand it the best.
Watch here: https://bit.ly/2D1fqB6
Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:
- Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.
- Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.
- Coping with data silos that house data that must be combined and provisioned to support decision-making.
- Exposing purpose-built analytics, such as supply chain, for consumption in order to expedite decision-making.
Attend this session to learn how Data as a Service, fueled by data virtualization, overcomes these common challenges from the three dimensions of:
- Provisioning information-rich external data assets,
- Connecting data silos, and
- Enabling pre-built and packaged analytics.
15 slide presentation displaying the use cases, features and benefits of the 4th generation Kingland Platform. The platform delivers enterprise data management solutions for some of the world's largest organizations. Powered by an artificial intelligence suite, the platform helps organizations avoid costs, accelerate projects, and improve how you use data to make business decisions.
This is a quick overview slides that will give readers an understanding about Microsoft's offering in the Data and Artificial Intelligence space.
For any questions, feel free to schedule a meeting or drop me a line.
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Business is not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions in their business
This session will take a deep dive into current challenges business are having today and how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL data stores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and Bigstep.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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Are you struggling to keep up with the evolving digital marketing landscape?
That’s where marketing technology – or MarTech – comes in. The right MarTech tools can help you automate tasks and streamline your workflow for better performance.
But how do you upgrade your MarTech stack to ensure you’re maximizing campaign effectiveness?
In this webinar, we’ll walk you through some of the leading tools and solutions you should consider including in your MarTech stack for 2023 and beyond.
Join iQuanti’s Vishal Maru, VP of Digital Solutions and Shaubhik Ray, Senior Director of Digital Analytics, as well as Tealium’s Josh Wolf, Director of Partner Solutions Consulting, as they discuss the implications, pros, and cons of the leading MarTech platforms.
Key Takeaways:
- How the MarTech landscape has evolved.
- Key considerations while selecting tools for your MarTech stack.
- Framework to assess your MarTech maturity.
The market is changing faster than ever, so make sure you don’t get left behind.
Not only is Artificial Intelligence and Machine Learning (AI/ML) becoming more mainstream in marketing, but new media such as over-the-top (OTT) and short-form video are also gaining traction – not to mention new privacy regulations, third-party cookie departure, Apple’s App Tracking Transparency (ATT) feature, and the launch of Google Analytics 4 (GA4).
Watch now and get the latest insights to inform your marketing strategy.
Unified Information Governance, Powered by Knowledge GraphVaticle
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Businesses are building digital platforms with modern architecture principles like domain driven design, microservice based, and event-driven. These platforms are getting ever so modular, flexible and complex.
While they are built with architecture principles like - loose coupling, individually scaling, plug-and-play components; regulations and security considerations on data - complexity leads to many unknown and grey areas in the entire architecture. Details on how the different components of this complex architecture interact with each other are lost. Generating insights becomes multi-teams, multi-staged activity and hence multi-days activity.
Multiple users and stakeholders of the platform want different and timely insights to take both corrective and preventive actions.Business teams want to know how business is doing in every corner of the country near real time at a zipcode granularity. Tech teams want to correlate flow changes with system health including that of downstream stability as it happens.Knowing these details also helps in providing the feedback to the platform itself, to make it more efficient and also to the underlying business process.
In this talk we intend to share how we made all the business and technical insights of a complicated platform available in realtime with limited incremental effort and constant validation of the ideas and slices with business teams. Since the client was a Banking client, we will also touch base handling of financial data in a secure way and still enabling insights for a large group of stakeholders.
We kept the self-service aspect at the center of our solution - to accommodate increasing components in the source platform, evolving requirements, even to support new platforms altogether. Configurability and Scalability were key here, it was important that all the data that was collected from the source platform was discoverable and presentable. This also led to evolving the solution in lines of domain data products, where the data is generated and consumed by those who understand it the best.
Watch here: https://bit.ly/2D1fqB6
Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:
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- Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.
- Coping with data silos that house data that must be combined and provisioned to support decision-making.
- Exposing purpose-built analytics, such as supply chain, for consumption in order to expedite decision-making.
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- Provisioning information-rich external data assets,
- Connecting data silos, and
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15 slide presentation displaying the use cases, features and benefits of the 4th generation Kingland Platform. The platform delivers enterprise data management solutions for some of the world's largest organizations. Powered by an artificial intelligence suite, the platform helps organizations avoid costs, accelerate projects, and improve how you use data to make business decisions.
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Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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