The document discusses Pivotal's platform and strategy. It notes that Pivotal's platform allows for agile application development, access to big data solutions, and infrastructure flexibility. Examples are given of how companies like GE have used Pivotal's technologies to innovate faster using data and applications. The document promotes Pivotal's platform as uniquely positioned to help enterprises modernize their use of applications, data, and analytics.
Deep Neural Networks (DNN), or simply Deep Learning (DL), took Artificial Intelligence (AI) by storm and have infiltrated into business at an unprecedented rate. Access to vast amounts of data, recently made available by the Big Data revolution, extensive computational power and a new wave of efficient learning algorithms, helped Artificial Neural Networks to achieve state-of-the-art results in almost all AI challenges.
The implications of DL supported AI in business is tremendous, shaking to the foundations many industries. However, incorporating this technology in established business is far from obvious: cultural inertia in organizations, lack of transparency in most DL models and the complexity in training these models are some of the issues that will be addressed.
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
7 Pillars Of Data Strategy - High Five 2018Evan Levy
Data and analytics companies are seemingly everywhere, many claiming to be panaceas for all your data woes. As much as we like to rely on technology, the human factor is still the most important part of the equation. Clear strategy and focused leadership is required to make transformative, meaningful change in data culture, influencing capture, analysis, and presentation of your company’s data.
Targeting towards the health and human services communities, this presentation covers the importance of a data-driven culture, how to identify areas where data can be used to innovate and how to recognize the operational processes you must have in place to fully utilize your data.
Deep Neural Networks (DNN), or simply Deep Learning (DL), took Artificial Intelligence (AI) by storm and have infiltrated into business at an unprecedented rate. Access to vast amounts of data, recently made available by the Big Data revolution, extensive computational power and a new wave of efficient learning algorithms, helped Artificial Neural Networks to achieve state-of-the-art results in almost all AI challenges.
The implications of DL supported AI in business is tremendous, shaking to the foundations many industries. However, incorporating this technology in established business is far from obvious: cultural inertia in organizations, lack of transparency in most DL models and the complexity in training these models are some of the issues that will be addressed.
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
7 Pillars Of Data Strategy - High Five 2018Evan Levy
Data and analytics companies are seemingly everywhere, many claiming to be panaceas for all your data woes. As much as we like to rely on technology, the human factor is still the most important part of the equation. Clear strategy and focused leadership is required to make transformative, meaningful change in data culture, influencing capture, analysis, and presentation of your company’s data.
Targeting towards the health and human services communities, this presentation covers the importance of a data-driven culture, how to identify areas where data can be used to innovate and how to recognize the operational processes you must have in place to fully utilize your data.
This framework helps organizations align Data Strategy with Business Strategy to prioritize goals around the most pressing operational needs. It introduces Data Management & Data Ability Maturity Matrix to visualize the core path of business digital transformation, which is easy to understand and follow. And it provides the standard template for implementation, which can share the flexibility to engage applications of different industries.
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
Smarter businesses apply AI to learn and continuously evolve the way they work. To extract full value from AI, companies need data strategy that gives them access to all their data – no matter where it lives – in an environment that easily scales and applies the latest discovery technology including advanced analytics, visualization and AI. Learn how IBM Watson and Data provides all the tools companies need to embed AI, machine learning and deep learning in their business, while enabling professionals to gain the most from their data to drive smarter business and lead industry-changing transformations.
Slides: Case Study — How J.B. Hunt is Driving Efficiency with AI and Real-Tim...DATAVERSITY
J.B. Hunt, one of the leading providers of transportation and logistics services in North America, recognizes the criticality of customer responsiveness, service quality, and operational efficiency for its success. However, with its data spread across multiple sources, including legacy mainframe systems, the organization was struggling to meet data requirements from multiple departments. They struggled to troubleshoot operational issues and respond to customers quickly.
Join this webinar to hear about the optimized solution J. B. Hunt implemented, which automates real-time data pipelines for a reliable cloud data lake and provides multiple user groups an in-the-moment view of data without overwhelming internal operational systems. Discover how J.B. Hunt now leverages a modernized data environment to accelerate data delivery and drive various AI and analytics initiatives such as real-time service-pricing, competitive counterbidding, and improving their customer experience.
Learn how you can:
• Ingest data in real-time from legacy mainframe systems, enterprise applications, and more
• Create a reliable cloud data lake to accelerate AI and Analytic Initiatives
• Catalog, prepare, and provision data to empower data consumers
• Drive operational efficiency and customer experience with AI-augmented insights
Neil Sholay - Data Driven Business - #OracleCloudDay LondonNeil Sholay
Information is replacing technology as the most critical business asset.
And so business leaders must make the data around and within their business ecosystem the centre of new planning, funding and revenue models.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
RWDG Slides: Operationalize Data Governance for Business OutcomesDATAVERSITY
Data Governance adds value to the organization when it becomes operationalized and focused on providing improved business outcomes. People in the organization acknowledge Data Governance success when they see results based on how the formalized program operates.
Join Bob Seiner for this month’s webinar, where he will focus on how to operationalize Data Governance based on your program’s purpose and demonstrate value through the communications of business outcomes. New ways to operationalize Data Governance and engage data stewards will be highlighted.
Bob will discuss :
• What it means to operationalize Data Governance
• How to link Data Governance to business outcomes – both good and bad
• Program operations designed to provide business outcomes
• Using the program purpose to demonstrate value
• Ways to engage your stewards through their job function
Reinventing the Modern Information Pipeline: Paxata and MapRLilia Gutnik
(Presented at MapR's Big Data Everywhere event in Redwood City, CA in December 2016)
The relationship between business teams and IT has changed as the complexity of data has increased. A traditional data pipeline designed for an IT-centered approach to information management is not designed for the data demands of today's business decisions. Designing a big data strategy requires modernizing previous approaches. Self-service data preparation in a collaborative, intuitive, governed, and secure environment is the key to a nimble and decisive business unit.
Presumption of Abundance: Architecting the Future of SuccessInside Analysis
Hot Technologies with Dr. Claudia Imhoff, Dr. Robin Bloor and SAS
Live Webcast on Jan. 14, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=9431631f43a8c7561f2ba996750a4612
When resources are scarce, organizations focus heavily on keeping processes intact and costs down. The result is often a cycle of decisions that hinders development and ultimately leads to zero innovation. But these days, the market is teeming with game-changing solutions with more attractive price points, paving the way toward a new mindset and an era of abundance.
Register for this episode of Hot Technologies to learn from veteran Analysts Claudia Imhoff and Robin Bloor as they discuss how the proliferation of data and analytics is forcing the enterprise to rethink and redesign its architecture. They’ll be briefed by Gary Spakes of SAS, who will explain his company’s approach to Big Data analytics. He will show how disruptive technologies like Hadoop can give organizations the scalability and reliability they need, and at the same time boost data discovery, analytic innovation and time-to-value.
Visit InsideAnalysis.com for more information.
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
The promise of self-service analytics asserts that business users should be empowered make data-driven decisions quickly without having to involve the analytics team, while critics say that it could lead to faulty choices. In this presentation we’ll cover topics such as acknowledging diverse customer needs, choosing the right tools, understanding the pitfalls, and considering the future of self-service analytics. And cake.
Using Machine Learning to Understand and Predict Marketing ROIDATAVERSITY
Marketing is all about attracting, retaining and building profitable relationships with your customers, but how do you know which customers to target, which campaigns to run, and which marketing programs to invest in, to get most return for your dollar?
Join Alteryx and Keyrus as we demonstrate how to combine all relevant marketing, sales and customer data, and perform sophisticated analytics to deepen customer insight and calculate ROI of marketing programs.
You’ll walk away knowing how to:
Segment and profile your customers – take that raw data and translate it into real value
Build a marketing attribution model within Alteryx, creating a personal answer engine for your company.
Leverage R or Python code in an Alteryx workflow so data scientists can collaborate with non-coding stake holders in a code-friendly and code-free environment.
Join Alteryx and Keyrus and get the actionable insights you need to drive marketing ROI analytics, and answer million-dollar questions without spending millions of dollars on standardized solutions.
Keys to Formulating an Effective Data Management Strategy in the Age of DataImpetus Technologies
Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a comprehensive data management strategy. A solid data management strategy should address the needs of all areas of business – from operations, marketing, and sales to service, finance, and more. But how can enterprises formulate a strategy that provides all business functions with quick and complete access to the data, analytics, and machine learning that they need, both now and in the future?
In this webinar our guest speaker Mike Gualtieri, VP & Principal Analyst, Forrester Research and Larry Pearson, VP Strategic Alliances, Impetus Technologies will outline the fundamental building blocks of such a strategy.
To view the webinar, https://bit.ly/31jyLnV
This is an evaluation of Making Advanced Analytics Work for You by Dominic Barton and David Court telling us how Big Data can transform a company's business in my DSA Internship.
Chief Data Officer: DataOps - Transformation of the Business Data EnvironmentCraig Milroy
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
Keynote: Software Kept Eating the World (Pivotal Cloud Platform Roadshow)VMware Tanzu
Software Kept Eating the World
Software is transforming our world at an ever quickening page. In the modern world, realtime information drives decision making in enterprises that were not traditionally considered technology companies. If you recognize software is a competitive advantage, delivering software rapidly and reliably takes the advantage to the next level.
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnectaDigital
Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet.
Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”.
Big Query är ett molnbaserat analysverktyg och en del av Google Cloud Platform. Big Query gör det möjligt att ställa snabba frågor mot enorma dataset på bara någon sekund. Big Query och Google Cloud Platform erbjuder färdiga lösningar för att sätta upp och underhålla en infrastruktur som med enkla medel gör allt detta möjligt.
På Connecta Digital Consultings tredje event för våren introducerade vi våra kunder och partners i koncepten dataanalys och Big Query.
Under eventet berördes följande punkter:
- Big Data och Business Intelligence (BI)
- “The Google Big Data tools” – framgångsfaktorer och hur man kommer igång
- Google Cloud Platform och hur man genomför en framgångsrik molnsatsning
Vi presenterade case och berättade om viktiga lärdomar vi dragit i samarbetet med Google och våra kunder.
This framework helps organizations align Data Strategy with Business Strategy to prioritize goals around the most pressing operational needs. It introduces Data Management & Data Ability Maturity Matrix to visualize the core path of business digital transformation, which is easy to understand and follow. And it provides the standard template for implementation, which can share the flexibility to engage applications of different industries.
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
Smarter businesses apply AI to learn and continuously evolve the way they work. To extract full value from AI, companies need data strategy that gives them access to all their data – no matter where it lives – in an environment that easily scales and applies the latest discovery technology including advanced analytics, visualization and AI. Learn how IBM Watson and Data provides all the tools companies need to embed AI, machine learning and deep learning in their business, while enabling professionals to gain the most from their data to drive smarter business and lead industry-changing transformations.
Slides: Case Study — How J.B. Hunt is Driving Efficiency with AI and Real-Tim...DATAVERSITY
J.B. Hunt, one of the leading providers of transportation and logistics services in North America, recognizes the criticality of customer responsiveness, service quality, and operational efficiency for its success. However, with its data spread across multiple sources, including legacy mainframe systems, the organization was struggling to meet data requirements from multiple departments. They struggled to troubleshoot operational issues and respond to customers quickly.
Join this webinar to hear about the optimized solution J. B. Hunt implemented, which automates real-time data pipelines for a reliable cloud data lake and provides multiple user groups an in-the-moment view of data without overwhelming internal operational systems. Discover how J.B. Hunt now leverages a modernized data environment to accelerate data delivery and drive various AI and analytics initiatives such as real-time service-pricing, competitive counterbidding, and improving their customer experience.
Learn how you can:
• Ingest data in real-time from legacy mainframe systems, enterprise applications, and more
• Create a reliable cloud data lake to accelerate AI and Analytic Initiatives
• Catalog, prepare, and provision data to empower data consumers
• Drive operational efficiency and customer experience with AI-augmented insights
Neil Sholay - Data Driven Business - #OracleCloudDay LondonNeil Sholay
Information is replacing technology as the most critical business asset.
And so business leaders must make the data around and within their business ecosystem the centre of new planning, funding and revenue models.
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
RWDG Slides: Operationalize Data Governance for Business OutcomesDATAVERSITY
Data Governance adds value to the organization when it becomes operationalized and focused on providing improved business outcomes. People in the organization acknowledge Data Governance success when they see results based on how the formalized program operates.
Join Bob Seiner for this month’s webinar, where he will focus on how to operationalize Data Governance based on your program’s purpose and demonstrate value through the communications of business outcomes. New ways to operationalize Data Governance and engage data stewards will be highlighted.
Bob will discuss :
• What it means to operationalize Data Governance
• How to link Data Governance to business outcomes – both good and bad
• Program operations designed to provide business outcomes
• Using the program purpose to demonstrate value
• Ways to engage your stewards through their job function
Reinventing the Modern Information Pipeline: Paxata and MapRLilia Gutnik
(Presented at MapR's Big Data Everywhere event in Redwood City, CA in December 2016)
The relationship between business teams and IT has changed as the complexity of data has increased. A traditional data pipeline designed for an IT-centered approach to information management is not designed for the data demands of today's business decisions. Designing a big data strategy requires modernizing previous approaches. Self-service data preparation in a collaborative, intuitive, governed, and secure environment is the key to a nimble and decisive business unit.
Presumption of Abundance: Architecting the Future of SuccessInside Analysis
Hot Technologies with Dr. Claudia Imhoff, Dr. Robin Bloor and SAS
Live Webcast on Jan. 14, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=9431631f43a8c7561f2ba996750a4612
When resources are scarce, organizations focus heavily on keeping processes intact and costs down. The result is often a cycle of decisions that hinders development and ultimately leads to zero innovation. But these days, the market is teeming with game-changing solutions with more attractive price points, paving the way toward a new mindset and an era of abundance.
Register for this episode of Hot Technologies to learn from veteran Analysts Claudia Imhoff and Robin Bloor as they discuss how the proliferation of data and analytics is forcing the enterprise to rethink and redesign its architecture. They’ll be briefed by Gary Spakes of SAS, who will explain his company’s approach to Big Data analytics. He will show how disruptive technologies like Hadoop can give organizations the scalability and reliability they need, and at the same time boost data discovery, analytic innovation and time-to-value.
Visit InsideAnalysis.com for more information.
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
The promise of self-service analytics asserts that business users should be empowered make data-driven decisions quickly without having to involve the analytics team, while critics say that it could lead to faulty choices. In this presentation we’ll cover topics such as acknowledging diverse customer needs, choosing the right tools, understanding the pitfalls, and considering the future of self-service analytics. And cake.
Using Machine Learning to Understand and Predict Marketing ROIDATAVERSITY
Marketing is all about attracting, retaining and building profitable relationships with your customers, but how do you know which customers to target, which campaigns to run, and which marketing programs to invest in, to get most return for your dollar?
Join Alteryx and Keyrus as we demonstrate how to combine all relevant marketing, sales and customer data, and perform sophisticated analytics to deepen customer insight and calculate ROI of marketing programs.
You’ll walk away knowing how to:
Segment and profile your customers – take that raw data and translate it into real value
Build a marketing attribution model within Alteryx, creating a personal answer engine for your company.
Leverage R or Python code in an Alteryx workflow so data scientists can collaborate with non-coding stake holders in a code-friendly and code-free environment.
Join Alteryx and Keyrus and get the actionable insights you need to drive marketing ROI analytics, and answer million-dollar questions without spending millions of dollars on standardized solutions.
Keys to Formulating an Effective Data Management Strategy in the Age of DataImpetus Technologies
Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a comprehensive data management strategy. A solid data management strategy should address the needs of all areas of business – from operations, marketing, and sales to service, finance, and more. But how can enterprises formulate a strategy that provides all business functions with quick and complete access to the data, analytics, and machine learning that they need, both now and in the future?
In this webinar our guest speaker Mike Gualtieri, VP & Principal Analyst, Forrester Research and Larry Pearson, VP Strategic Alliances, Impetus Technologies will outline the fundamental building blocks of such a strategy.
To view the webinar, https://bit.ly/31jyLnV
This is an evaluation of Making Advanced Analytics Work for You by Dominic Barton and David Court telling us how Big Data can transform a company's business in my DSA Internship.
Chief Data Officer: DataOps - Transformation of the Business Data EnvironmentCraig Milroy
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
Keynote: Software Kept Eating the World (Pivotal Cloud Platform Roadshow)VMware Tanzu
Software Kept Eating the World
Software is transforming our world at an ever quickening page. In the modern world, realtime information drives decision making in enterprises that were not traditionally considered technology companies. If you recognize software is a competitive advantage, delivering software rapidly and reliably takes the advantage to the next level.
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnectaDigital
Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet.
Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”.
Big Query är ett molnbaserat analysverktyg och en del av Google Cloud Platform. Big Query gör det möjligt att ställa snabba frågor mot enorma dataset på bara någon sekund. Big Query och Google Cloud Platform erbjuder färdiga lösningar för att sätta upp och underhålla en infrastruktur som med enkla medel gör allt detta möjligt.
På Connecta Digital Consultings tredje event för våren introducerade vi våra kunder och partners i koncepten dataanalys och Big Query.
Under eventet berördes följande punkter:
- Big Data och Business Intelligence (BI)
- “The Google Big Data tools” – framgångsfaktorer och hur man kommer igång
- Google Cloud Platform och hur man genomför en framgångsrik molnsatsning
Vi presenterade case och berättade om viktiga lärdomar vi dragit i samarbetet med Google och våra kunder.
The emergence of social, mobile, cloud, big data and analytics are fundamentally changing how we live, work and interact.
Mobile devices are ubiquitous. Changing consumer behaviors, supplanting PCs, generating massive amounts of data and putting new demands on the enterprise to not only support these devices but to adjust the way they do business.
Social technologies are changing the way we interact, communicate and share information – equally generating vast amounts of data and impacting business as they try to unlock the full potential social has to offer.
Cloud technologies bring new scale and efficiency to service delivery and enable more agile ways of doing business and drive business model innovation. For companies, It also brings information and applications to people at the right time and place.
All of these trends are fueling an explosion of data. Not only do enterprises need to store, manage and secure this data, they also need to derive meaningful insight from these vast amounts of data. Data is the basis of significant opportunity and a source of competitive advantage for all organizations. Data is a new economic asset, the next natural resource.
These trends are spawning new workloads, business processes and technology deployments that are putting unprecedented demands on our IT environments.
Make from your it department a competitive differentiator for your businessMarcos Quezada
IBM Systems, combining the strengths of IBM middleware and IBM hardware to create a resilient, modern enterprise infrastructure to make from your IT department a competitive differentiator for your business. Infrastructure Matters #ITMatters
C-BAG Big Data Meetup Chennai Oct.29-2014 Hortonworks and Concurrent on Casca...Hortonworks
Big Data is moving to the next level of maturity and it’s all about the applications. Dhruv Kumar, one of the minds behind Cascading, the most widely used and deployed development framework for building Big Data applications, will discuss how Cascading can enable developers to accelerate the time to market for their data applications, from development to production. In this session, Dhruv will introduce how to easily and reliably develop, test, and scale your data applications and then deploy them on Hadoop and Hortonworks Data Platform. He will show a demo using the Hortonworks Sandbox and Cascading. Recording is at
https://hortonworks.webex.com/hortonworks/lsr.php?RCID=e5582bcbc0516d35fc2dcf0bce86146e
Building Confidence in Big Data - IBM Smarter Business 2013 IBM Sverige
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. You need confidence in your data – that it’s correct, trusted, and protected through automated integration, visual context, and agile governance. You need confidence in your ability to accelerate time to value, with fast deployments of big data appliances. Learn how clients have succeeded with big data by building confidence in their data, ability to deploy, and skills. Presenter: David Corrigan, Big Data specialist, IBM. Mer från dagen på http://bit.ly/sb13se
¿Cómo las manufacturas están evolucionando hacia la Industria 4.0 con la virt...Denodo
Watch full webinar here: https://bit.ly/3cbpipB
Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de:
- Automatizar los procesos de manera eficiente, para permitir una mayor producción en menor tiempo
- Crear valor añadido en los productos manufacturados
- Conectar la planta industrial con el punto de venta
- Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción
Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio.
Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.
IBM Private Cloud Platform - Setting Foundation for Hybrid (JUKE, 2015)Denny Muktar
This is the slide for IBM Partner Event, November 2015.
Digital Transformation, Innovation, and Industry Transformer through Hybrid Cloud. IBM Scenarios of Hybrid Cloud and Roadmap .An example of how Enterprise can get into Hybrid Cloud through simple Dev/Test Private Cloud as the start.
MT01 The business imperatives driving cloud adoptionDell EMC World
Cloud adoption has reached an inflection point, pushing organizations into an "adapt or die" state, forcing new operating models, effective management of internal and external resources, and transformation towards an application-centric mentality. Cloud approaches are maturing past the point of public clouds domination, shifting focus to private & hybrid cloud and effective management of a multi-cloud environment. Attend this session to learn how to realize true business value when the friction of the business dynamic is supported by flexible cloud services delivered with predictability & speed.
There has been a lot of talk around the concept of Cloud. However, what is there behind the hype and how can cloud help companies transform to the digital enterprise. Cloud is not just about technology, it's about the transformation of your applications so they take full advantage of the technology they are hosted on. This presentation served as support to a keynote I gave in at the Belnet Networking Conference in Brussels on October 23rd, 2014.
Big Data Management: A Unified Approach to Drive Business ResultsCA Technologies
Traditional data management is changing rapidly, attributed to significant changes brought on by evolving big data environments. IT complexity is on the rise as businesses choose the technologies they need to support their big data strategies and targeted business outcomes. Now, more than ever, we need IT management tools that can accommodate and effectively manage these evolving, complex environments to ensure that enterprises can move forward with their preferred technology and vendor choices.
For more information on Mainframe solutions from CA Technologies, please visit: http://bit.ly/1wbiPkl
EDB Postgres is more than just a DBMS. It is a platform that liberates enterprises from expensive DBMS to enable digital business. EDB enterprise customers drive new and modernization IT initiatives using EDB Postgres to minimize risk and maximize savings.
What if IT could free their core database management systems from traditional limitations and become a differentiator instead of a bottleneck to the business?
Learn how the open source based EDB Postgres Platform helps enterprises confidently deliver on the promise of digital business. This presentation covers -
* The updated platform,
* Value for the enterprise,
* Technical differentiators, and
* Customer success stories showing EDB Postgres in action.
This presentation is intended for IT leaders, both management and technical. If you want to lead your organization to accelerate the transformation to digital business, this webinar is for you.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
3. New IT Agenda
Provide Access To
All Applications & Data Through
Mobile Devices.
Use Adaptive, Data-Driven
Security To Rapidly Respond To
Emerging Threats.
Build A Data Lake To Deliver
Insights And Applications On
All Data.
Move To A Software-Defined
Data Center Infrastructure And
Expand It To A Hybrid Cloud.
2
Use Agile Development To
Build New Customer-Centric
Applications.
Balance Risk
Cut Operational Costs &
Legacy More Than Ever
React Faster To
Find New Growth
Today’s Business
Challenges
4. Best Of Breed. Architected Horizontally, Not Vertically. Choice.
Our Strategy: Build A Differentiated Stack
BIG DATA SOLUTIONS
PLATFORM AS A SERVICE
AGILE APPLICATION DEVELOPMENT
INFORMATION INFRASTRUCTURE
CONVERGED INFRASTRUCTURE
SOFTWARE-DEFINED DATA CENTER
HYBRID-CLOUD, MOBILITY
ADVANCEDSECURITY
9. 20,772 HARD DRIVES
300 PALLETS
8 TRUCKS
85 PETABYTESSOLD INTO ONE WEB-SCALE PROVIDER IN ONE ORDER
10. Capacity
Performance
Low Service
Level
High Service
Level
Performance “Good Enough”
Capacity Optimized ($/GB)
Data Loss Not A Disaster
Consistently Good Performance
Eventual Consistency Of Data
Data Loss Not A Disaster
Performance “Good Enough”
Capacity Optimized ($/GB)
Data Loss A Disaster
Consistently Good Performance
Consistent Data
Data Loss A Disaster
Great Performance
Consistent Data
Data Loss A Disaster
17. TODAY’S DATA CENTER SOFTWARE-DEFINED DATA CENTER
TRADITIONAL APPLICATIONS NEXT GEN CLOUD APPLICATIONS
120M
-2016-
91M
-2013-
34M
-2016-
11M
-2013-
TRADITIONAL APPLICATION GROWTH NEXT GEN CLOUD APPLICATION GROWTH
22. 22Pivotal Confidential–Internal Use Only
Pivotal
At-a-Glance
Ÿ New Independent Venture: Spun out &
jointly owned by EMC & VMware
Ÿ Deep Execution Talent: 1700 employees
Ÿ Proven Leadership: Paul Maritz, CEO
Ÿ Global Customer Validation:
+1000 Tier-1 Enterprise Customers
Ÿ Strategic Backing: $100M investment by GE
Ÿ Bold Vision: New platform for a new era,
focused on the intersection of apps, big data
and analytics
23. 23Pivotal Confidential–Internal Use Only
Need for Speed
Ÿ Enterprises are being driven to compete, innovate & execute
faster than ever before:
– Global reach and emerging markets
– Ever-increasing customer expectations
– Legacy environment & cost pressures
Ÿ At a time when we’re witnessing the most disruptive platform
shifts and advances in technology in over 30 years
Ÿ Every business is quickly becoming a software business
Ÿ Software is how companies engage with customers, powered
by new data insights and new
Social
Cloud
Big
Data
Mobile
24. 24Pivotal Confidential–Internal Use Only
What Matters: Apps. Data. Analytics.
Apps power businesses, and
those apps generate data
Analytic insights from that data
drive new app functionality,
which in-turn drives new data
The faster you can move
around that cycle, the faster
you learn, innovate & pull
away from the competition
26. 26Pivotal Confidential–Internal Use Only
Software is Changing Industries
$3.5B valuation
Financial Services
$3.5B valuation
Travel & Hospitality
$3.5B valuation
Transportation
$3.2B Acquisition by Google
Home Automation
$20B valuation
Entertainment
$1.1B acquisition
Monsanto--Agriculture
27. 27Pivotal Confidential–Internal Use Only
We need to innovate or we die. Pivotal and Cloud Foundry is
our big bet to leapfrog the competition
With Cloud Foundry, we built what looks like a software
company… Moving from silos to a single platform.
Cloud Foundry's potential to transform business is vast…
companies leveraging software will outperform their peers
Enterprises Must Become Great at Software
28. 28Pivotal Confidential–Internal Use Only
Francisco Gonzalez
CEO at BBVA
“Banks need to take on Amazon and
Google or die. The shift to digital
requires a complete overhaul of
banks technology…it is a matter of
survival.”
29. 29Pivotal Confidential–Internal Use Only
Rapid Execution Requires a New Approach
• Agile teams and rapid iteration
• Continuous delivery without downtime
• Horizontally scalability (data and app)
• Standardized service binding and
discovery
• First class Mobile support
• Deep user analytics
Development
Delivery
Operation
Iteration
30. 30Pivotal Confidential–Internal Use Only
Jonathan Rosenberg
CTO & VP, Collaboration
“PaaS is the operating system for
the cloud. As the set of APIs and
services for PaaS's grow, the choice
of PaaS becomes more crucial as the
costs of porting go up. This is one of
the benefits of open source PaaS
offerings like Cloud Foundry.”
34. 34Pivotal Confidential–Internal Use Only
The Cloud Foundry Foundation
more to come…
“This is a significant announcement for PaaS in general and for
Cloud Foundry in particular. It potentially signals a
consolidation that is going to become apparent…predicts that
Red Hat will shutter OpenShift and throw its hat in with Cloud
Foundry within the year.” - Forbes, Ben Kepes, 2/24/14
35. 35Pivotal Confidential–Internal Use Only
Elastic Runtime
Java, Spring, Ruby, Node.JS
Built-in “Middleware” Services
Operation Manager
Installation, Management,
Monitoring, Upgrades/Updates
...ETC
Pivotal Approach: Your Platform for Building Great
Software
PivotalOne
Pivotal One
CO-INNOVATION
Agile Software Development
Data Lake Solutions
PIVOTAL
MySQL
Pivotal One
SERVICES
36. 36Pivotal Confidential–Internal Use Only
Pivotal Approach: An Application Centric World
Infrastructure Specific
JVM
VM
Pre-Provisioned Pool of VMs
Container 1
App Server
JVM, etc..
Container 2
App Server
JVM, etc..
App1 Common Access Tier (App1, App2)
App Server
Configurations Built-in Middleware Services
JVM
VM
App2
App Server
Configurations
IaaS Agnostic
37. 37Pivotal Confidential–Internal Use Only
GE Capital Builds Foundation For Value Add Insights
“ Critical Insights and data is deleted
because it’s too expensive to store.”
“We need the ability to blend data
fabric, build analytics, and create
applications on top of this.”
“Access any internal or external
data of interest through a familiar
interface.”
“Now we analyze Social Media to
predict trends, and help dealers
make decisions.”
38. 38Pivotal Confidential–Internal Use Only
Use-Case: Data and PaaS Drives Business Agility
Pivotal CF Operation Manager
Any Infrastructure
Big/Fast Data
Real-time change to customer-facing
application based on data analysis
Deploy/Update
(Private/Public)
39. 39Pivotal Confidential–Internal Use Only
Spring becomes the enabler
Deploy to
Cloud or on
premise
Big,
Fast,
Flexible
Data Data
Processing,
Integration
Spring Data
• JPA/JDBC
• MongoDB
• Redis
• Neo4j
• GemFire
• Data REST
• Spring
Hadoop
• Spring
Integration
• Spring
Batch
• CloudFoundry
• vCloud Suite
• Google App
Engine
• Amazon Elastic
Beanstalk
• CloudBees
40. 40Pivotal Confidential–Internal Use Only
Data Driven: Harder Than it Sounds
Operationalize
Ingest
Distill
Interface
Process
Analytical Transactional
Operationalize
Ingest
Distill
Interface
Process
Analytical Transactional
Operationalize
Ingest
Distill
Interface
Process
Analytical Transactional
Real Time Near Real Time Batch
Predictive call routing, fraud
prediction, dynamic pricing,
re-marketing, stream analytics
Analytic model designs, transaction
analysis, trend analysis
ETL, archive, trending, monthly and
weekly jobs
41. 41Pivotal Confidential–Internal Use Only
Data Driven: Impossible in Silos
Finance Manufacturing Marketing IT
Data Growth Over 60%
Floods These Silos
42. 42Pivotal Confidential–Internal Use Only
One Platform, Multiple Use Cases
Flexibility to expand the
ingestion of network data as
the underlying infrastructure
changes – easy expansion into
4G LTE.
External
data sources
• Linked-in
• Twitter
• Facebook
• Weather
• …
Internal
data sources
• CRM
• EDW
• Customer Portals
• …
Mobile Network Infrastructure
Intelligently set triggers at the
edge of the network that looks
for 'interesting' events that
require instant action
Build
New Apps
Integrate
Existing Apps
Agile approach to enable apps to access in real-time
All
History
Current
Status
Predicted
Intelligence
Single Unified Platform
• Capture everything
• Real-time data processing
• Single version of the truth
• End-to-end visibility across
different data sources
• Scalable and cost effective
43. 43Pivotal Confidential–Internal Use Only
RTI In Telco Ecosystem
RTI-T
Integration
Sanity Check
Filter
Enrich
Transform
Apply Logic
OSS
BSS
Network
Elements
Application
Hosting
Environment
for Real-time
Use-case
Realization
Network
Optimization
Customer
Experience
Management
....
Ingest DistributeProcess
Route
Persist
Long Term Storage
Operational
Datastore
Analytics
44. 44Pivotal Confidential–Internal Use Only
Solution Architecture
RTI-T
Integration
Sanity Check
Filter
Enrich
Transform
Apply Logic
OSS
BSS
Network
Elements
Cloud
Foundry
Network
Optimization
Customer
Experience
Management
....
Ingest DistributeProcess
Route
Persist
Pivotal Data Lake
GemFire XDADS/HAWQ
45. 45Pivotal Confidential–Internal Use Only
World’s Leading Experts
Pivotal Labs – Pivotal Data Labs
Pivotal One
Pivotal Application Suite
BATCH BATCH
NEAR TIME NEAR TIMEHAWQGreenplum DB
Pivotal HD
REAL TIME REAL TIMEGemFire XDGemFire
46. 46Pivotal Confidential–Internal Use Only
Pivotal’s Opportunity
Uniquely positioned to help
enterprises modernize each
facet of this cycle today
Comprehensive portfolio of
products spanning Apps, Data
& Analytics
Converging these technologies
into a coherent, next-gen
Enterprise PaaS platform