The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
Intel, Cloudera and guest speaker Forrester Research, Inc. discuss the strategy of pervasive analytics and real life examples of how analytics have already been embedded into applications and workflows.
Big Data Tools PowerPoint Presentation SlidesSlideTeam
Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of total of twenty slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Our professional PowerPoint experts have also included icons, graphs and charts for your convenience. All you have to do is DOWNLOAD the deck. Make changes as per the requirement. Yes, these PPT slides are completely customizable. Edit the colour, text and font size. Add or delete the content from the slide. And leave your audience awestruck with the professionally designed Big Data Tools PowerPoint Presentation Slides complete deck. http://bit.ly/39AwSro
Mid-Market Data Center Purchasing Drivers, Priorities and BarriersDigital Realty
Welcome to a connected world, where customers increasingly interact with your brand via digital channels. Digital Realty SVP Sales and Marketing, Matt Miszewski explores 2014 data center trends and key drivers.
This Digital Realty webinar features Matt Miszewski (@mattmiszewski) and Forrester Researcher Sophia Vargas (@Sophia_IV).
For more information visit http://www.digitalrealty.com
Material for the 26 Oct 2015 lecture I held for Aalto University business students. The lecture focuses on the high level topics in analytics and Big Data that are either central to the subject or just highly visible in the media.
The main messages of the lecture are:
- The purpose of analytics and of the data analyst is to solve business problems
- Big Data brings over some very special traits to doing analytics that don't exist when working working with smaller datasets. Understanding these traits is a must for successful analytics.
- Deploying analytics is more dependent on humans than on technology
- Data and analytics are nowadays significant assets to many companies. Therefore they need their own strategy and need to be managed just like any other business critical assets.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
Intel, Cloudera and guest speaker Forrester Research, Inc. discuss the strategy of pervasive analytics and real life examples of how analytics have already been embedded into applications and workflows.
Big Data Tools PowerPoint Presentation SlidesSlideTeam
Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of total of twenty slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Our professional PowerPoint experts have also included icons, graphs and charts for your convenience. All you have to do is DOWNLOAD the deck. Make changes as per the requirement. Yes, these PPT slides are completely customizable. Edit the colour, text and font size. Add or delete the content from the slide. And leave your audience awestruck with the professionally designed Big Data Tools PowerPoint Presentation Slides complete deck. http://bit.ly/39AwSro
Mid-Market Data Center Purchasing Drivers, Priorities and BarriersDigital Realty
Welcome to a connected world, where customers increasingly interact with your brand via digital channels. Digital Realty SVP Sales and Marketing, Matt Miszewski explores 2014 data center trends and key drivers.
This Digital Realty webinar features Matt Miszewski (@mattmiszewski) and Forrester Researcher Sophia Vargas (@Sophia_IV).
For more information visit http://www.digitalrealty.com
Material for the 26 Oct 2015 lecture I held for Aalto University business students. The lecture focuses on the high level topics in analytics and Big Data that are either central to the subject or just highly visible in the media.
The main messages of the lecture are:
- The purpose of analytics and of the data analyst is to solve business problems
- Big Data brings over some very special traits to doing analytics that don't exist when working working with smaller datasets. Understanding these traits is a must for successful analytics.
- Deploying analytics is more dependent on humans than on technology
- Data and analytics are nowadays significant assets to many companies. Therefore they need their own strategy and need to be managed just like any other business critical assets.
This presentation shows how Predictive Analytics can be more futuristic than BI in using past events to predict the future.
Furthermore, we explore the best practices in Predictive Analytics, the challenges in deployment and how this solution can be used to create business value for the organization.
Presented by Ajay Gopikrishnan, our expert in Predictive Analytics and Data Mining at the BA4ALL (Business Analytics Insight 2014) event in the Netherlands.
http://www.capgemini.com/big-data-analytics
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
Systems of Insights: BI Trends and the Smart Tools of the FutureYellowfin BI
Business intelligence (BI) is at the top of the enterprise agendas as they transform from data driven to insights driven business models. The opportunity created a large, fragmented market of BI vendors, and the older market segmentation models (technology centric vs. user centric, reporting vs. data visualization, on-premise vs. cloud) no longer work. Then how do you select the right BI platform from dozens of contenders who often pitch a very similar proposition? On this webinar you will learn about the:
- Role of BI in the insights-driven business model
- Commoditization of some BI platform features
- Emergence of a new set of key BI platform differentiators
- Demo of 2-3 new features of Yellowfin 7.4
Yellowfin, together with Forrester business intelligence expert Boris Evelson, presented Systems of Insight, as a webinar on October 31, 2017.
For more information visit http://www.yellowfinbi.com
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
According to recent research report by Wall Street Journal, AI project failure rates near 50%, more than 53% terminates at proof of concept level and does not make it to production. Gartner report says that nearly 80% of the analytics projects are not delivering any business value. That means for every 10 projects, only 2 projects are useful to the organization. Let us pause here a moment, rather than looking at what makes AI projects to fail, let’s look at the challenges involved in AI projects and find a solution to overcome these challenges.
AI projects are different from traditional software projects. Typical software projects, as shown in Figure 1, consist of well-defined software requirements, high level design, coding, unit testing, system testing, and deployment along with beta testing or field testing. Now, organizations are adopting Agile process instead of traditional V or waterfall model, but still steps mentioned are valid.
However, AI and Machine Learning projects’ methodology is different from the above. Our experience working on many AI/ML projects has given us insights on some of the challenges of executing AI projects. Also, we are in regular touch with senior executives and thought leaders from different industries who understand the success formula. The following discussion is based on our practical experience and knowledge gained in the field.
Successful execution of AI projects depends on the following factors:
1. Clearly aligned Business Expectations
2. Clarity on Terminologies
3. Meeting Data Requirements
4. Tools and Technology
5. Right Resources
6. Understanding Output Results
7. Project Planning and the Process
Operationalizing the Buzz: Big Data 2013VMware Tanzu
The 2013 EMA/9sight Big Data research makes a clear case for the maturation of Big Data as a critical approach for innovative companies. This year’s survey went beyond simple questions of strategy, adoption and use to explore why and how companies are utilizing Big Data. This year’s findings show an increased level of Big Data sophistication between 2012 and 2013 respondents. An improved understanding of the “domains of data” drives this increased sophistication and maturity. Highly developed use of
Process-mediated, Machine-generated and Human-sourced information is prevalent throughout this year’s study.
Survey Results Age Of Unbounded Data June 03 10nhaque
Enterprises today can generate, collect and consider more data than ever before. New types of data can provide insight into previously opaque processes and motivations, but prodigious quantities of data present opportunity, as well as complexity and distraction. nGenera Insight’s 2010 Leading in an Age of Unbounded Data survey garnered responses from over 70 major organizations, including many global corporations, to provide a cross-industry pulse of the state of enterprise data.
Supply Chain Intelligence and Analytics Executive Guidelines for SuccessHalo BI
Learn from industry experts about the future of supply chain analytics in 2016. Understand the main concerns of executives in the coming year and where the focus will be across the entire supply chain.
IBM Watson Content Analytics: Discover Hidden Value in Your Unstructured DataPerficient, Inc.
Healthcare organizations create a massive amount of digital data. Some is stored in structured fields within electronic medical records (EMR), claims or financial systems and is readily accessible with traditional analytics. Other information, such as physician notes, patient surveys, call center recordings and diagnosis reports is often saved in a free-form text format and is rarely used for analytics. In fact, experts suggest that up to 80% of enterprise data exists in this unstructured format, which means a majority of critical data isn’t being considered or analyzed!
Our webinar demonstrated how to extract insights from unstructured data to increase the accuracy of healthcare decisions with IBM Watson Content Analytics. Leveraging years of experience from hundreds of physicians, IBM has developed tools and healthcare accelerators that allow you to quickly gain insights from this “new” data source and correlate it with the structured data to provide a more complete picture.
(BDT207) Use Streaming Analytics to Exploit Perishable Insights | AWS re:Inve...Amazon Web Services
Streaming analytics is about knowing and acting on what's happening in your business and with your customers right this second. Forrester calls these perishable insights because they occur at a moment's notice and you must act on them fast. The high velocity, whitewater flow of data from innumerable real-time data sources such as market data, internet of things, mobile, sensors, clickstream, and even transactions remain largely un-navigated by most firms. The opportunity to leverage streaming analytics has never been greater. In this session, Forrester analyst Mike Gualtieri explains the opportunity, use cases, and how to use cloud-based streaming solutions in your application architecture.
Systems of Insights: BI Trends and the Smart Tools of the FutureYellowfin BI
Business intelligence (BI) is at the top of the enterprise agendas as they transform from data driven to insights driven business models. The opportunity created a large, fragmented market of BI vendors, and the older market segmentation models (technology centric vs. user centric, reporting vs. data visualization, on-premise vs. cloud) no longer work. Then how do you select the right BI platform from dozens of contenders who often pitch a very similar proposition? On this webinar you will learn about the:
- Role of BI in the insights-driven business model
- Commoditization of some BI platform features
- Emergence of a new set of key BI platform differentiators
- Demo of 2-3 new features of Yellowfin 7.4
Yellowfin, together with Forrester business intelligence expert Boris Evelson, presented Systems of Insight, as a webinar on October 31, 2017.
For more information visit http://www.yellowfinbi.com
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
According to recent research report by Wall Street Journal, AI project failure rates near 50%, more than 53% terminates at proof of concept level and does not make it to production. Gartner report says that nearly 80% of the analytics projects are not delivering any business value. That means for every 10 projects, only 2 projects are useful to the organization. Let us pause here a moment, rather than looking at what makes AI projects to fail, let’s look at the challenges involved in AI projects and find a solution to overcome these challenges.
AI projects are different from traditional software projects. Typical software projects, as shown in Figure 1, consist of well-defined software requirements, high level design, coding, unit testing, system testing, and deployment along with beta testing or field testing. Now, organizations are adopting Agile process instead of traditional V or waterfall model, but still steps mentioned are valid.
However, AI and Machine Learning projects’ methodology is different from the above. Our experience working on many AI/ML projects has given us insights on some of the challenges of executing AI projects. Also, we are in regular touch with senior executives and thought leaders from different industries who understand the success formula. The following discussion is based on our practical experience and knowledge gained in the field.
Successful execution of AI projects depends on the following factors:
1. Clearly aligned Business Expectations
2. Clarity on Terminologies
3. Meeting Data Requirements
4. Tools and Technology
5. Right Resources
6. Understanding Output Results
7. Project Planning and the Process
Operationalizing the Buzz: Big Data 2013VMware Tanzu
The 2013 EMA/9sight Big Data research makes a clear case for the maturation of Big Data as a critical approach for innovative companies. This year’s survey went beyond simple questions of strategy, adoption and use to explore why and how companies are utilizing Big Data. This year’s findings show an increased level of Big Data sophistication between 2012 and 2013 respondents. An improved understanding of the “domains of data” drives this increased sophistication and maturity. Highly developed use of
Process-mediated, Machine-generated and Human-sourced information is prevalent throughout this year’s study.
Survey Results Age Of Unbounded Data June 03 10nhaque
Enterprises today can generate, collect and consider more data than ever before. New types of data can provide insight into previously opaque processes and motivations, but prodigious quantities of data present opportunity, as well as complexity and distraction. nGenera Insight’s 2010 Leading in an Age of Unbounded Data survey garnered responses from over 70 major organizations, including many global corporations, to provide a cross-industry pulse of the state of enterprise data.
Supply Chain Intelligence and Analytics Executive Guidelines for SuccessHalo BI
Learn from industry experts about the future of supply chain analytics in 2016. Understand the main concerns of executives in the coming year and where the focus will be across the entire supply chain.
IBM Watson Content Analytics: Discover Hidden Value in Your Unstructured DataPerficient, Inc.
Healthcare organizations create a massive amount of digital data. Some is stored in structured fields within electronic medical records (EMR), claims or financial systems and is readily accessible with traditional analytics. Other information, such as physician notes, patient surveys, call center recordings and diagnosis reports is often saved in a free-form text format and is rarely used for analytics. In fact, experts suggest that up to 80% of enterprise data exists in this unstructured format, which means a majority of critical data isn’t being considered or analyzed!
Our webinar demonstrated how to extract insights from unstructured data to increase the accuracy of healthcare decisions with IBM Watson Content Analytics. Leveraging years of experience from hundreds of physicians, IBM has developed tools and healthcare accelerators that allow you to quickly gain insights from this “new” data source and correlate it with the structured data to provide a more complete picture.
(BDT207) Use Streaming Analytics to Exploit Perishable Insights | AWS re:Inve...Amazon Web Services
Streaming analytics is about knowing and acting on what's happening in your business and with your customers right this second. Forrester calls these perishable insights because they occur at a moment's notice and you must act on them fast. The high velocity, whitewater flow of data from innumerable real-time data sources such as market data, internet of things, mobile, sensors, clickstream, and even transactions remain largely un-navigated by most firms. The opportunity to leverage streaming analytics has never been greater. In this session, Forrester analyst Mike Gualtieri explains the opportunity, use cases, and how to use cloud-based streaming solutions in your application architecture.
IW14 Session: Mike Gualtieri, Forrester ResearchSoftware AG
Session: Apama & Terracotta World; Big Data Streaming Analytics - Right Here, Right Now
Presentation Title: Streaming Analytics Is Icing On The Big Data Cake
Presentation given by Mike Gualtieri, Principal Analyst at Forrester Research, during the Apama & Terracotta World Session at Innovation World 2014 conference, Oct 13-15, 2014, at the Hyatt Regency New Orleans, produced by Software AG. Three days of vision, inspiration and insight. Innovation World is THE global event for digital leaders who are driven to leverage the Software AG Suite: Alfabet, Apama, ARIS, webMethods, Software AG Live, Terracotta and Adabas-Natural.
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.
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Moving Beyond Batch: Transactional Databases for Real-time DataVoltDB
Join guest Forrester speaker, Principal Analyst Mike Gualtieri, and Dennis Duckworth Director of Product Marketing from VoltDB to learn how enterprises can create a real-time, “origin-zero” data architecture within transactional databases to become a real-time enterprise.
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Adaptive apps as the name suggests, anticipate and adapt to the needs of each customer to deliver more relevant and profitable interactions. By combining predictive analytics, big data, and APIs, they deliver individualized experiences that build strong, lasting relationships with customers. Adaptive apps promise to revolutionize how we imagine, design, and build apps and APIs for a wide variety of use cases.
In this track keynote, we’ll introduce the concept of a adaptive app, describe the opportunities they present, and discuss how you can start taking advantage of predictive analytics and APIs to accelerate your business.
Data Analytics has become a crucial part of the IT industry, as businesses strive to extract meaningful insights from the massive amounts of data they generate. APTRON's Data Analytics Training in Gurgaon is designed to equip learners with the knowledge and skills required to become proficient in the field.
Modern Data Challenges require Modern Graph TechnologyNeo4j
This session focuses on key data trends and challenges impacting enterprises. And, how graph technology is evolving to future-proof data strategy and architectures.
Is the lack of access to good employee data stopping you from making the best decisions possible about your talent and your business? Employee information spread across multiple systems, spreadsheets and sometimes just in legend and folklore is not only frustrating, it can stop us from being as effective and create expensive regulatory compliance and security headaches. And waiting around for some magical data warehouse solution or an expensive system consolidation just isn’t practical.
Join Paul Hamerman, vice president and principal analyst at Forrester Research, and Steve Parker, vice president at SumTotal Systems, as they discuss how to use technological innovations to quickly and inexpensively solve your HR data woes and move on to those strategic initiatives you’ve been waiting to tackle.
In this webinar, you will learn:
How to achieve a global system of record for employee information without having to rip and replace current systems.
How a comprehensive employee lifecycle master data model (MDM) can help solve data issues.
How the same technology can provide access to HR data in context — when and where needed — to drive better decision-making and actions.
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
Data Trends for 2019: Extracting Value from DataPrecisely
To get the most business value from data, you need to keep up with the latest tech trends – or do you?
View this webinar on-demand as we share the results from our 2019 Data Trends Survey! We'll reveal what organizations around the world are really up to at the intersection of technology, big data and business.
Key topics include:
• Business initiatives getting the most IT support in 2019
• Highest-priority IT initiatives
• Tech adoption rates, benefits and challenges
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
This annual program recognizes organizations who are moving swiftly towards the future and building innovative solutions by making what was impossible yesterday, possible today.
The winning organizations' implementations demonstrate outstanding achievements in fulfilling their mission, technical advancement, and overall impact.
The 2021 Data Impact Awards recognize organizations' achievements with the Cloudera Data Platform in seven categories:
Data Lifecycle Connection
Data for Enterprise AI
Cloud Innovation
Security & Governance Leadership
People First
Data for Good
Industry Transformation
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
Cloudera Fast Forward Labs’ latest research report and prototype explore learning with limited labeled data. This capability relaxes the stringent labeled data requirement in supervised machine learning and opens up new product possibilities. It is industry invariant, addresses the labeling pain point and enables applications to be built faster and more efficiently.
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
In this session, we will cover how to move beyond structured, curated reports based on known questions on known data, to an ad-hoc exploration of all data to optimize business processes and into the unknown questions on unknown data, where machine learning and statistically motivated predictive analytics are shaping business strategy.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on Azure. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
Cloudera SDX is by no means no restricted to just the platform; it extends well beyond. In this webinar, we show you how Bardess Group’s Zero2Hero solution leverages the shared data experience to coordinate Cloudera, Trifacta, and Qlik to deliver complete customer insight.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
How can companies integrate data science into their businesses more effectively? Watch this recorded webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
17. …but, most firms take comfort in traditional
sources.
“How important are the following data types to your firm's overall business strategy?”
Answers 4 and 5 on a scale where 1- not at all important and 5 – very important
31%
28%
4 5. very important
21%
18%
31%
29%
23%
18%
14%
15%
13%
14%
10%
18%
28%
37%
27%
5%
10%
7%
8%
7%
15%
17%
12%
8%
11%
22%
22%
44%
41%
36%
26%
53%
Planning, budgeting, forecasting data
Transactional data from corporate packaged apps
Customer data
Transactional data from corporate custom build apps
Home-grown data stored in spreadsheets or other desktop applications
Unstructured internal data
Product data
Log data from corporate systems
Scientific data
Third party data sets
Partner data
Video, imagery & audio
Sensor data other than mobile devices
Weblog data from publically facing sites
Consumer mobile device data
Social network data
Unstructured external data
Base: 634 Business Intelligence users and planners
Source: Forrsights BI/Big Data Survey, Q3 2012
Still lots of opportunity.
New opportunity?
18. eCommerce
MRP
Web analytics
eCommerce
Web
Mobile
Finance
Customer Service
CRM
Claims
BPM
Excel & Access
Data warehouse
Planning
Email
Customer Service
ERP
Marketing
Social Media
POS
Field Operations
VOC
Workforce/HR
46. Data prep is the most time consuming task.
Identify data that is relevant to
the business goal.
Integrate and enrich the
data into an analytical
data set
Run statistical and machine
learning algorithms to find
the model
Test the model to make sure it
will work
Measure the effectiveness
of the model in the real-world
Use the model in
applications
68. 68
Acting on data is a clunky process
A marketing
analyst sees a
campaign isn’t
performing.
1
69. 69
Acting on data is a clunky process
1
2
She wants to better
understand the cross
channel campaign by
correlating data from sales,
marketing, web, and social
data. She makes a data
request to IT.
70. 70
Acting on data is a clunky process
1
2 3
The IT request stalls and
requires custom
development that will take 3
months to set up.
71. 71
Acting on data is a clunky process
2 3
1 4
In the mean time she
continues with her limited
data and makes gut
decisions.
72. 72
Acting on data is a clunky process
2 3
1 4
She guesses wrong and 5
doesn't hit her campaign
goals.
X
73. 73
Cloudera’s
enterprise
data hub
Unified
data
Unified
security &
administration
Unified
framework
75. 75
Imagine if this could be different
1
A marketing analyst
can monitor her
campaign in near real
time.
76. 76
Imagine if this could be different
1 2
She can view multiple
data sources from
one view and
receives alerts when
goals aren't met.
77. 77
Imagine if this could be different
1 2 3
In the alerts she receives
recommendations based
on historic campaigns, and
the current campaign
environment, on the best
tactical actions to course
correct the campaign.
78. 78
Imagine if this could be different
1 2 3 4
She incorporates the
recommended
tactics into her
campaign.
79. 79
Imagine if this could be different
1 2 3 4 5
She pulls a report
and hits her goal.
80. 80
Preparing for Pervasive Analytics
Data Sources Data Analysis Data Serving
Human Data
Discovery
Structured
Unstructured
Machine
Response
Single Analysis
Data
Applications
Data Processing &
Storage
Batch
Stream
Extend
Innovate
Empower
Store
81. 81
Preparing for Pervasive Analytics
Data Sources Data Analysis Data Serving
Structured
Unstructured
Machine
Response
Single Analysis
Data
Applications
Data Processing &
Storage
Batch
Stream
Extend
Innovate
Empower
Human Data
Discovery
Store
82. 82
Preparing for Pervasive Analytics
Data Sources Data Analysis Data Serving
Structured
Unstructured
Machine
Response
Single Analysis
Single Analysis
Data
Applications
Data Processing &
Storage
Batch
Stream
Extend
Innovate
Empower
Human Data
Discovery
Machine
Response
Data Applications
Store
83. 83
The Iterative Process of Analytics
Data
Generation
Batch Processing
Data Discovery
Analysis
Technique
Batch Processing
Report, Model,
or Rules
Analyst
Discovery
Flow
84. 84
The Iterative Process of Analytics
Data
Generation
Batch Processing
Data Discovery
Analysis
Technique
Batch Processing
Report, Model,
or Rules
Analyst
Discovery
Flow
Data
Generation
Stream or Batch
Processing
Respond to Data
Feed Data
Application
Optimize Report,
Model, or Rules
Operational
Analytics
Flow
85. 85
Yesterday – Limited
structured data storage
Today – Unlimited
structured and
unstructured storage
86. 86
Yesterday – Scattered,
limited processing and
analytical frameworks
Today – Unified,
diverse frameworks
87. 87
Yesterday – Segmented
management and
security
Today – Unified data/
system security and
management