This document discusses enabling big data transformations for continuous advantage through strategy, analytics, and technology. It covers big data phenomena such as the increasing volume, velocity, and variety of data from sources like machines, people, and markets. Real-time analytics engines can make sense of structured, unstructured, and semi-structured data. Case studies are presented on predicting battery performance and casino gaming analysis. Foundation series bootcamps are also discussed to prepare people to understand and lead big data transformations through different lenses.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-tschudi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit.
Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can be difficult to discern exactly what form this opportunity will take. For example, will edge devices perform AI computation locally, or in the cloud? Will edge devices use separate chips for AI, or will AI processing engines be incorporated into the main processor SoCs already used in these devices?
In this talk, Tschudi answers these questions by presenting and explaining his firm's market data and forecasts for AI processors in mobile phones, drones, smart home devices and personal robots. He explains why there is a strong trend towards executing AI computation at the edge, and quantifies the opportunity for separate processor chips and on-chip accelerators that address visual and audio AI tasks.
Transform Banking with Big Data and Automated Machine Learning 9.12.17Cloudera, Inc.
Banks are rich in valuable data and can build and maintain a competitive advantage by identifying and executing on high-value machine learning projects leveraging the rich data available.This webinar will describe use cases fit for big data and machine learning in the banking sector (commercial, consumer, regulatory, and markets) and the impact they can have for your organization.
3 things to learn:
* How to create a next generation data platform and why it is important
* How to monetize big data using predictive modeling and machine learning
* What is needed for automated machine learning as a sustainable, cost-effective, and efficient solution
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from ForresterCubic Corporation
Business success relies heavily on taking the right action, at the right time, all the time. And actions are dictated by data. But the batch-oriented, collect-store-contemplate model employed by Big Data Analytics technologies is incomplete because it does not make use of live data in real time. Without live, real-time data insights gathered are not up-to-date, and cannot accurately inform applications and services that would benefit from continuous, real-time context for time-sensitive decisions.
To thrive, businesses need to be able to use both live and historical data in their applications and services, continuously, concurrently, and correctly and the only technology currently capable of handling it is streaming analytics. Streaming analytics computes data right now, when it can be analyzed and put to good use to make applications of all kinds contextual and smarter.
This webinar held in collaboration with Forrester, Inc., showcased how streaming analytics applications can be built in minutes, to:
- Aggregate, enrich, and analyze a high throughput of data from multiple, disparate live data sources and in any format to identify patterns, detect opportunities, automate actions, and dynamically adapt
- Easily ingest streaming data from multiple disparate sources to multiple sources, within and between cloud and on-premises environments
- Analyze and act on data as it arrives, without needing to store, eliminating unnecessary security risks and storage costs
- Enable real-time analytics with existing business intelligence and data assets.
Better Business From Exploring Ideas - AWS Summit Sydney 2018Amazon Web Services
Better Business from Exploring Ideas - Modern Data Architectures on AWS
In this session you will learn how organisations are able to drive better business outcomes from products and deliver more personalised and real-time experiences to customers. We will walk through a common customer journey that shows how to quickly test ideas and get insights, built on top of data lakes, data pipelines, and sandboxes using the same platform advantages of Modern Data Architectures on AWS as some of our most prominent customers. See how to serve the needs of your business users, business analysts, and data scientists using AWS services for analytics, Big Data, and Machine Learning.
Craig Stires, APAC Head of Analytics, Big Data, and AI, Amazon Web Services
Monetizing Big Data with Streaming Analytics for Telecoms Service ProvidersCubic Corporation
The SQLstream Blaze (http://www.sqlstream.com) real-time data hub enables telecommunication service providers to leverage their streaming Big Data, and to integrate and analyze streams of CDR, device, network and service data in real-time. Streaming analytics and automated actions can be used to optimize service and network performance in real-time, optimize Customer Care workflows for efficient troubleshooting and reduced costs,and real-time fraud detection and prevention from CDR analytics. The result is improved operational efficiency, better delivered services and an customer satisfaction.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-tschudi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit.
Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can be difficult to discern exactly what form this opportunity will take. For example, will edge devices perform AI computation locally, or in the cloud? Will edge devices use separate chips for AI, or will AI processing engines be incorporated into the main processor SoCs already used in these devices?
In this talk, Tschudi answers these questions by presenting and explaining his firm's market data and forecasts for AI processors in mobile phones, drones, smart home devices and personal robots. He explains why there is a strong trend towards executing AI computation at the edge, and quantifies the opportunity for separate processor chips and on-chip accelerators that address visual and audio AI tasks.
Transform Banking with Big Data and Automated Machine Learning 9.12.17Cloudera, Inc.
Banks are rich in valuable data and can build and maintain a competitive advantage by identifying and executing on high-value machine learning projects leveraging the rich data available.This webinar will describe use cases fit for big data and machine learning in the banking sector (commercial, consumer, regulatory, and markets) and the impact they can have for your organization.
3 things to learn:
* How to create a next generation data platform and why it is important
* How to monetize big data using predictive modeling and machine learning
* What is needed for automated machine learning as a sustainable, cost-effective, and efficient solution
Streaming analytics webinar | 9.13.16 | Guest: Mike Gualtieri from ForresterCubic Corporation
Business success relies heavily on taking the right action, at the right time, all the time. And actions are dictated by data. But the batch-oriented, collect-store-contemplate model employed by Big Data Analytics technologies is incomplete because it does not make use of live data in real time. Without live, real-time data insights gathered are not up-to-date, and cannot accurately inform applications and services that would benefit from continuous, real-time context for time-sensitive decisions.
To thrive, businesses need to be able to use both live and historical data in their applications and services, continuously, concurrently, and correctly and the only technology currently capable of handling it is streaming analytics. Streaming analytics computes data right now, when it can be analyzed and put to good use to make applications of all kinds contextual and smarter.
This webinar held in collaboration with Forrester, Inc., showcased how streaming analytics applications can be built in minutes, to:
- Aggregate, enrich, and analyze a high throughput of data from multiple, disparate live data sources and in any format to identify patterns, detect opportunities, automate actions, and dynamically adapt
- Easily ingest streaming data from multiple disparate sources to multiple sources, within and between cloud and on-premises environments
- Analyze and act on data as it arrives, without needing to store, eliminating unnecessary security risks and storage costs
- Enable real-time analytics with existing business intelligence and data assets.
Better Business From Exploring Ideas - AWS Summit Sydney 2018Amazon Web Services
Better Business from Exploring Ideas - Modern Data Architectures on AWS
In this session you will learn how organisations are able to drive better business outcomes from products and deliver more personalised and real-time experiences to customers. We will walk through a common customer journey that shows how to quickly test ideas and get insights, built on top of data lakes, data pipelines, and sandboxes using the same platform advantages of Modern Data Architectures on AWS as some of our most prominent customers. See how to serve the needs of your business users, business analysts, and data scientists using AWS services for analytics, Big Data, and Machine Learning.
Craig Stires, APAC Head of Analytics, Big Data, and AI, Amazon Web Services
Monetizing Big Data with Streaming Analytics for Telecoms Service ProvidersCubic Corporation
The SQLstream Blaze (http://www.sqlstream.com) real-time data hub enables telecommunication service providers to leverage their streaming Big Data, and to integrate and analyze streams of CDR, device, network and service data in real-time. Streaming analytics and automated actions can be used to optimize service and network performance in real-time, optimize Customer Care workflows for efficient troubleshooting and reduced costs,and real-time fraud detection and prevention from CDR analytics. The result is improved operational efficiency, better delivered services and an customer satisfaction.
IoT - Data Management Trends, Best Practices, & Use CasesCloudera, Inc.
With billions of new devices, IoT is transforming how businesses capitalize on data. Data driven organizations are using IoT as as a means to improve their customer experience, drive operational efficiencies, and enable new business models. However, without the right data management strategy and tools, investments in IoT can yield limited results.
Join Cloudera and 451 Research for a joint webinar to learn more about some of the data management best practices and how organizations are using advanced analytics and machine learning to enable IoT use cases.
Technology is perhaps the greatest agent of change in the modern world. While never without risk,
technological breakthroughs promise innovative solutions to the most pressing global challenges of
our time. From batteries that can provide power to whole villages to microchips that could take the
place of organs in medical research, this year’s 10 emerging technologies offer a vivid glimpse of the
power of innovation to improve lives, transform industries and safeguard our planet.
To compile this list, the World Economic Forum’s Meta-Council on Emerging Technologies, a panel
of global experts, draws on the collective expertise of the Forum’s communities to identify the most
important recent technological trends. By doing so, the Meta-Council aims to raise awareness of
their potential and contribute to closing the gaps in investment, regulation and public understanding
that so often thwart progress.
Rise of the smart machines: Gartner’s top tech predictions for 2016GetApp
Robots, cognitive computing, smart machines, and a new internet of things architecture are only a few of the highly digital shifts that businesses can expect to see in the coming years.
Digital analytics & privacy: it's not the end of the worldOReillyStrata
This presentation starts by revisiting the common best practices related to digital analytics in order to measure digital asset’s effectiveness to increase conversion, common data feeds between tools and possibly data flows between continents for analysis.
These practices are then put in parallel with legal requirements, showing which steps need to be undertaken to assure legal compliance of said practices, how digital responsibles should be trained in data protection matters and what contracts are needed with both data providers & collectors so as to assure minimal liability for these routinely undertaken tasks.
This presentation is NOT about security and goes beyond the over-blown cookie debate in order to highlight how the upcoming EU Personal Data Protection Regulation will influence digital analytics to hopefully start embracing Privacy by Design ways of working.
IoT's rapid evolution marks the next stage in the innovation economy - White ...Technicolor
Like many new technology trends – such as Big Data or Cloud
Computing – that have captured the imagination of consumers
and business executives alike, the Internet of Things, or IoT,
has become a bit like a “Rorschach Test.” People see what they
want to see with the term is invoked.
To be fair, IoT lends itself to this tendency, because the concept
is so incredibly big, and its implications so deep. At its root IoT
is about devices talking to each other without human intervention
using the internet protocol. But this alone would cleanly fall into
the category of machine-to-machine (M2M) communications.
“When you look at what’s happening with IoT devices, explains
Danny Lousberg, Director of Product Management for Qeo
at Technicolor, “you will see a huge effort to create a vertical
ecosystem in which a specific device is communicating with a
specific back-end server that lives somewhere in the cloud to
tackle a specific use case for the user. And that means these
devices all are battling for a piece of mindshare and eyeballs.”
“The Internet of Things is inherently different from M2M
communication because M2M is really meant to solve large-scale
problems for a big group of devices that are all trying to work
together in a larger environment that is not necessarily controlled
by the end user.”
What makes IoT truly powerful is when M2M is linked to Mobility,
Big Data, Cloud Computing and other critical elements in today’s
modern technology infrastructure to empower and provide
options to end-users.
“From my perspectives, it will be virtually impossible to view these
technological paradigms independent of each other and from IoT,”
says Kurt Jonckheer, General Manager, Virdata, and VP, Strategic
Projects, Technicolor.
“The promise of IoT is that devices and appliances of all sorts
will, without human interference, interact with each other to
create a better experience for users by engaging in things like
self-diagnosis, harnessing event-driven actions that enhance
the human experience, or simply reduce costs in an intelligent
and automated manner.”
This combination of technologies is already generating billions
of dollars in revenue. Trillions more will be triggered as
businesses come to grips with the true potential of IoT.
User Experience of AI - How to marry the two for ultimate success?Koru UX Design
Want UX and AI to mean more than just buzz words? Download our whitepaper on how to combine the two to create scalable enterprise products at a fast pace. Learn from real-life examples on how smart adoption solved crucial business challenges across various industries. Download now using this link, https://www.koruux.com/uxfreebies/ux-of-ai/
Telcos are challenged in their business. Telephony becomes a commodity. How to leverage new business? Data use is key for the future business and analytics is the way to do it. This presentation shows a high-level picture on analytics.
Gartner: Top 10 Strategic Technology Trends 2016Den Reymer
Digital Transformation and Innovation on http://denreymer.com
- Which trends will drive the greatest disruption to the IT landscape over the next three years
- Critical technologies that must be explored to support the move to digital business
- How these trends and technologies are evolving and actions to take today
http://www.gartner.com//it/content/3154000/3154017/december_8_top_strategic_technology_trends_dcearley.pdf
Fourth Industrial Revolution & Data Economy
AI/Blockchain/IoT/Big Data Introduction
AI/Blockchain/IoT Technology Innovation Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
AI/Blockchain/IoT Technology Innovation vs. Privacy Protection
AI/Blockchain/IoT Business Strategy & BM Development
Startup Strategy
AI + Blockchain + IoT Technology Convergence Introduction
AI + Blockchain + IoT Convergence System Development Demo
AI + Blockchain + IoT Convergence System for Digital New Deal
Contents
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
Blockchain ICO
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration
Xanadu based Blockchain + Big Data + AI+ IoT Integration
Xanadu Functionality
Xanadu based Big Data Archive
Xanadu Performance BMT
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case
Xanadu + Hadoop + Deep Learning Integration Demo
Xanadu based Medical CBIR System
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Advantage of Xanadu + Blockchain Integration
Xanadu + Blockchain Integration Demo
1. New Patent Development Opportunity Analysis
White Space Analysis
Scenarios Analysis
Cross-competitor Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
CIS13: Big Data Analytics Vendor Perspective: Insights from the Bleeding EdgeCloudIDSummit
Balu Rajagopal, Global Product Marketing, Pivotal
While Apache Hadoop represents a core infrastructure driver in the Big Data movement, much it changing on application layer technology landscape in order to cross connect data from different repositories in different domains. A new class of Business Applications are emerging that inherently leverages three major fabrics - Big Data platforms, Cloud and Analytics all together. From a business user perspective, the traditional model of logging into every application to access the data to make decisions (primary purpose of apps) is no longer relevant. This means that new authentication, authorization and access control capabilities are needed that leverages the three fabrics mentioned earlier.
Speaker Balu Rajagopal is in Global Product Marketing for Pivotal, a Big Data Analytics spinoff from EMC and VMWare that includes Greenplum. Balu came to VMWare via the earlier VMWare acquisition of Cetas.
The next generation of Enterprise apps will be built on a platform that separates Data from the application logic and has analytics as its core intelligence.
IoT - Data Management Trends, Best Practices, & Use CasesCloudera, Inc.
With billions of new devices, IoT is transforming how businesses capitalize on data. Data driven organizations are using IoT as as a means to improve their customer experience, drive operational efficiencies, and enable new business models. However, without the right data management strategy and tools, investments in IoT can yield limited results.
Join Cloudera and 451 Research for a joint webinar to learn more about some of the data management best practices and how organizations are using advanced analytics and machine learning to enable IoT use cases.
Technology is perhaps the greatest agent of change in the modern world. While never without risk,
technological breakthroughs promise innovative solutions to the most pressing global challenges of
our time. From batteries that can provide power to whole villages to microchips that could take the
place of organs in medical research, this year’s 10 emerging technologies offer a vivid glimpse of the
power of innovation to improve lives, transform industries and safeguard our planet.
To compile this list, the World Economic Forum’s Meta-Council on Emerging Technologies, a panel
of global experts, draws on the collective expertise of the Forum’s communities to identify the most
important recent technological trends. By doing so, the Meta-Council aims to raise awareness of
their potential and contribute to closing the gaps in investment, regulation and public understanding
that so often thwart progress.
Rise of the smart machines: Gartner’s top tech predictions for 2016GetApp
Robots, cognitive computing, smart machines, and a new internet of things architecture are only a few of the highly digital shifts that businesses can expect to see in the coming years.
Digital analytics & privacy: it's not the end of the worldOReillyStrata
This presentation starts by revisiting the common best practices related to digital analytics in order to measure digital asset’s effectiveness to increase conversion, common data feeds between tools and possibly data flows between continents for analysis.
These practices are then put in parallel with legal requirements, showing which steps need to be undertaken to assure legal compliance of said practices, how digital responsibles should be trained in data protection matters and what contracts are needed with both data providers & collectors so as to assure minimal liability for these routinely undertaken tasks.
This presentation is NOT about security and goes beyond the over-blown cookie debate in order to highlight how the upcoming EU Personal Data Protection Regulation will influence digital analytics to hopefully start embracing Privacy by Design ways of working.
IoT's rapid evolution marks the next stage in the innovation economy - White ...Technicolor
Like many new technology trends – such as Big Data or Cloud
Computing – that have captured the imagination of consumers
and business executives alike, the Internet of Things, or IoT,
has become a bit like a “Rorschach Test.” People see what they
want to see with the term is invoked.
To be fair, IoT lends itself to this tendency, because the concept
is so incredibly big, and its implications so deep. At its root IoT
is about devices talking to each other without human intervention
using the internet protocol. But this alone would cleanly fall into
the category of machine-to-machine (M2M) communications.
“When you look at what’s happening with IoT devices, explains
Danny Lousberg, Director of Product Management for Qeo
at Technicolor, “you will see a huge effort to create a vertical
ecosystem in which a specific device is communicating with a
specific back-end server that lives somewhere in the cloud to
tackle a specific use case for the user. And that means these
devices all are battling for a piece of mindshare and eyeballs.”
“The Internet of Things is inherently different from M2M
communication because M2M is really meant to solve large-scale
problems for a big group of devices that are all trying to work
together in a larger environment that is not necessarily controlled
by the end user.”
What makes IoT truly powerful is when M2M is linked to Mobility,
Big Data, Cloud Computing and other critical elements in today’s
modern technology infrastructure to empower and provide
options to end-users.
“From my perspectives, it will be virtually impossible to view these
technological paradigms independent of each other and from IoT,”
says Kurt Jonckheer, General Manager, Virdata, and VP, Strategic
Projects, Technicolor.
“The promise of IoT is that devices and appliances of all sorts
will, without human interference, interact with each other to
create a better experience for users by engaging in things like
self-diagnosis, harnessing event-driven actions that enhance
the human experience, or simply reduce costs in an intelligent
and automated manner.”
This combination of technologies is already generating billions
of dollars in revenue. Trillions more will be triggered as
businesses come to grips with the true potential of IoT.
User Experience of AI - How to marry the two for ultimate success?Koru UX Design
Want UX and AI to mean more than just buzz words? Download our whitepaper on how to combine the two to create scalable enterprise products at a fast pace. Learn from real-life examples on how smart adoption solved crucial business challenges across various industries. Download now using this link, https://www.koruux.com/uxfreebies/ux-of-ai/
Telcos are challenged in their business. Telephony becomes a commodity. How to leverage new business? Data use is key for the future business and analytics is the way to do it. This presentation shows a high-level picture on analytics.
Gartner: Top 10 Strategic Technology Trends 2016Den Reymer
Digital Transformation and Innovation on http://denreymer.com
- Which trends will drive the greatest disruption to the IT landscape over the next three years
- Critical technologies that must be explored to support the move to digital business
- How these trends and technologies are evolving and actions to take today
http://www.gartner.com//it/content/3154000/3154017/december_8_top_strategic_technology_trends_dcearley.pdf
Fourth Industrial Revolution & Data Economy
AI/Blockchain/IoT/Big Data Introduction
AI/Blockchain/IoT Technology Innovation Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
AI/Blockchain/IoT Technology Innovation vs. Privacy Protection
AI/Blockchain/IoT Business Strategy & BM Development
Startup Strategy
AI + Blockchain + IoT Technology Convergence Introduction
AI + Blockchain + IoT Convergence System Development Demo
AI + Blockchain + IoT Convergence System for Digital New Deal
Contents
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
Blockchain ICO
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration
Xanadu based Blockchain + Big Data + AI+ IoT Integration
Xanadu Functionality
Xanadu based Big Data Archive
Xanadu Performance BMT
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case
Xanadu + Hadoop + Deep Learning Integration Demo
Xanadu based Medical CBIR System
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Advantage of Xanadu + Blockchain Integration
Xanadu + Blockchain Integration Demo
1. New Patent Development Opportunity Analysis
White Space Analysis
Scenarios Analysis
Cross-competitor Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
CIS13: Big Data Analytics Vendor Perspective: Insights from the Bleeding EdgeCloudIDSummit
Balu Rajagopal, Global Product Marketing, Pivotal
While Apache Hadoop represents a core infrastructure driver in the Big Data movement, much it changing on application layer technology landscape in order to cross connect data from different repositories in different domains. A new class of Business Applications are emerging that inherently leverages three major fabrics - Big Data platforms, Cloud and Analytics all together. From a business user perspective, the traditional model of logging into every application to access the data to make decisions (primary purpose of apps) is no longer relevant. This means that new authentication, authorization and access control capabilities are needed that leverages the three fabrics mentioned earlier.
Speaker Balu Rajagopal is in Global Product Marketing for Pivotal, a Big Data Analytics spinoff from EMC and VMWare that includes Greenplum. Balu came to VMWare via the earlier VMWare acquisition of Cetas.
The next generation of Enterprise apps will be built on a platform that separates Data from the application logic and has analytics as its core intelligence.
The New Database Frontier: Harnessing the CloudInside Analysis
The Briefing Room with Rick Sherman and MarkLogic
Live Webcast on May 13, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=9cd8eec52f7968721fdcd922e4f70369
The number of data types and sources is increasing almost daily anymore, which poses serious challenges for analytics and discovery. With many of these data sets in the Cloud, analysts are realizing that merging such public resources with internal information assets can be quite problematic. Solutions like virtualization and federation can get the job done, but another option is to employ a database that can natively connect to all these external sources.
Register for this episode of The Briefing Room to hear veteran Analyst Rick Sherman as he explains how the changing needs of the user are driving database innovation. He’ll be briefed by Ken Krupa of MarkLogic, who will tout his company’s NoSQL document database. He’ll discuss the importance of expanding the definition of what it means to be a database, and he’ll show how MarkLogic’s ability to tap into more sources than ever creates a scale-out data nerve center, thus delivering faster and better insights.
Visit InsideAnlaysis.com for more information.
IW13 Keynote, Bill Ruh, GE Software—The Emerging Industrial Internet Software AG
Big Industry Trends
The industrial world is undergoing a seismic shift in productivity and efficiency as machines become increasingly intelligent. This shift will result in the creation of an Industrial Internet that will have the same transformative effect as the consumer internet. Intelligence is brought about through innovative sensor technology, machine to machine connectivity, new approaches to automation, and most importantly software that gives insight to people in real-time. This seismic shift to what one venture capitalist has dubbed: 'software eating the world', will require more and more companies to make strategic decisions on their willingness to invest resources and take the risks to capture this increasingly valuable part of the value-chain.
We see companies in the automotive industry doing this already as they are no longer satisfied to simply move people from point A to point B as a manufacturer of cars. Instead they want to capture the software value inherent in the transformation of today's vehicles into entertainment, navigation, and social systems.
The big question for companies that want to win and survive in today's economy is: do you focus on existing products and business models or do you create new integrated hardware/software solutions and services that is greater than the sum of the individual parts. This talk will explore the notion of the Industrial Internet, emerging business opportunities and GE's strategic decision to focus on software and analytic-based services.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
Cisco IoT for Vietnam CIO Community - 2 Apr 2015 - splitSon Phan
Với tiến hóa của Internet sang Internet của sự vật- Internet of Thing cùng với các xu hướng Social, Mobility, Analytics/ Big Data, Cloud đang phát triển với tốc độ chưa từng có hướng đến viễn cảnh Internet of Everything cùng với các cơ hội lớn đối với cá nhân, doanh nghiệp, tổ chức, quốc gia, khu vực cũng như toàn cầu.
Không thể phủ nhận được rằng chuyển hóa sang Internet của Vạn vật đang thay đổi thế giới của chúng ta. Phương thức làm việc trong một vài năm tới rất khác so với cách chúng ta đang làm hôm nay. Tốc độ thay đổi cũng sẽ diễn ra nhanh hơn nhiều so với những gì chúng ta thấy trong hơn 15 năm vừa qua từ khi Internet bắt đầu xuất hiện tại Việt Nam. Hàng chục triệu người Việt Nam cùng nhiều dữ liệu, quá trình và sự vận vẫn chưa được kết nối. Chúng ta mới chỉ bắt đầu cuộc hành trình tiếp theo để kết nối những gì chưa được kết nối tại Việt Nam.Trong những thập kỷ tới đây, trên thế giới hàng tỷ người và sự vật sẽ tham gia vào Mạng Internet của Vạn vật. Nếu chúng ta hoạch định tốt ngay từ bậy giờ mọi thứ trong cuộc sống của chúng ta cũng sẽ thay đổi hướng đến những giá trị tốt đẹp và bền vững hơn với việc tận dụng tối đa các cơ hội của Internet của Vạn vật.Hiện nay thế giới mới chỉ có khoảng 13 tỷ sự vật được kết nối và dự kiến tới năm 2020 sẽ có 56 tỷ sự vật/ thiết bị sẽ kết nối tới mạng Internet. Khi đó:
- Điều gì xảy ra khi xe hơi được kết nối với Internet?
- Mạng Internet của vạn vật sẽ thay đổi chuỗi cung ứng như thế nào?
- Chúng ta có thể làm việc, sử dụng dịch vụ ngân hàng, mua sắm theo cách riêng của mình như thế nào khi được kết nối với Internet?
Cộng đồng CIO thân mời anh/ chị và các bạn tham dự Takshow lần thứ 46 với chủ đề “INTERNET OF EVERYTHING: CƠ HỘI, MÔ HÌNH KINH DOANH, ƯNG DỤNG, GIẢI PHÁP TRONG THỰC TẾ” xoay quanh các nội dung do Ông Phan Thanh Sơn- Chuyên gia CNTT-TT, người đã có 22 năm kinh nghiệm về Công nghệ thông tin- Truyền thông trong nhiều lĩnh vực như Ngân hàng, Chính phủ, Nhà cung cấp dịch vụ, Dầu khí, Sản xuất, Bất động sản/ Xây dựng, Quân sự.
- IoT đang phát triển và được ứng dụng mức nào trên thế giới và Việt nam?
- Giá trị IOT mang lại cũng như ứng dụng trong cuộc sống
- Một số thực tế triển khai IoT
Thời gian: 17h30 đến 19h30, thứ 5 ngày 2 tháng 4 năm 2015
Địa điểm: Ân Nam Restaurant & Cafe, 52A Trương Định, Phường 7, Qu
Check out this presentation from Pentaho and ESRG to learn why product managers should understand Big Data and hear about real-life products that have been elevated with these innovative technologies.
Learn more in the brief that inspired the presentation, Product Innovation with Big Data: http://www.pentaho.com/resources/whitepaper/product-innovation-big-data
Classifieds is going digital; but there's a lot happening behind the scenes to accomplish the digitization. This deck discusses how technology facilitates the data acquisition part when running a digital classifieds engine.
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.
Teradata Aster: Big Data Discovery Made Easy
Brad Elo, VP, Aster Data, Teradata
ANALYTICS AND VISUALIZATION FOR THE FINANCIAL ENTERPRISE CONFERENCE
June 25, 2013 The Langham Hotel Boston, MA
TIBCO Spotfire: Data Science in the EnterpriseTIBCO Spotfire
From Data to Insights in Internet Time
Eric Novik, Internal Analytics Group, TIBCO Spotfire
ANALYTICS AND VISUALIZATION FOR THE FINANCIAL ENTERPRISE CONFERENCE
June 25, 2013 The Langham Hotel Boston, MA
Similar to Creating Business Value From Big Data, Analytics & Technology (20)
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
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
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Creating Business Value From Big Data, Analytics & Technology
1. Business Value Consulting for a PREDICTIVE and AGILE Enterprise
STRATEGY + ANALYTICS + TECHNOLOGY
ENABLING BIG DATA TRANSFORMATIONS FOR CONTINUOUS ADVANTAGE
™
rightedge
™
rightedge.com