“Size matters not. Look at me. Judge me by my size, do you? Hmm? Hmm. And well you should not. For my ally is the Force, and a powerful ally it is.” – Yoda
Internally at IBM we sometimes draw the distinction between Watson and Watson Analytics by referring to them as Big Watson & Little Watson. As Yoda admonishes, don’t judge by size as Watson Analytics is a powerful ally for all Analytics Driven businesses. These sessions will educate you on what is being done, and can be done with Watson Analytics!
90% of the world's data was generated in the last 12 months, and a lot of that data is about the customer you want to reach. Traditional analytics platforms don't handle the new types of big data, and it can take months or years to get it into the hands of marketers. Join us to learn how leading brands are using Wave, the Salesforce Analytics Cloud to:
• Understand customers like never before by joining data from applications, databases and even products in a single view
• Supercharge marketing personnel by putting the answer to any question in the palms of their hands, on their mobile devices
• Shorten the cycle time to innovate by quickly connecting the dots from marketing to sales to service with a single analytical view
The document discusses a new analytics platform called Wave that was developed by Salesforce. It makes 3 key breaks from legacy analytics approaches. First, it uses principles of indexed search rather than static taxonomies so questions can evolve based on answers. Second, it uses a schema-free architecture so data isn't constrained to fit predefined models. Third, it is built for an increasingly mobile world where people interact with data on various devices. The platform aims to put analytics tools directly in the hands of business users by removing bottlenecks and allowing exploration from any device.
World of Watson 2016 - Implementing data scienceKeith Redman
The document describes several sessions occurring at an IBM event on advanced analytics. It provides details on session titles, times, speakers and industries. Some of the sessions include:
- Creating a data science program from the ground up using IBM technologies like Cognos and SPSS at Blue Cross Blue Shield of Western New York.
- An introduction to the IBM Data Science Experience for data scientists to collaborate in the cloud.
- Using cognitive detection APIs in the Data Science Experience to recognize entities in data sets.
- Building a word2vec model with Twitter data in the Data Science Experience.
The meetup agenda outlines presentations on using BellaDati's agile analytics and reporting tool. The morning sessions cover creating quick reports, collaboration features, and industry-specific app templates. The afternoon advanced analytics session with Peter Fedorocko highlights BellaDati's integrated data warehouse, ETL scripts, and capabilities for analyzing Twitter, MongoDB, and other data sources.
Top 9 Search-Driven Analytics Evaluation CriteriaJames Capurro
In our personal lives, search has transformed how access information. Google, Facebook and Amazon have raised our expectations for how we want to access data at work. Finally, after a decade of failed promises and misguided approaches in the enterprise, search is making a comeback.
In this book, we present nine different criteria that you can use to evaluate search-driven analytics products - everything from training time to search intelligence, data modeling, and total cost of ownership.
Forrester Research evaluated 13 big data predictive analytics solution vendors. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing the appeal of predictive analytics for users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into software applications and business processes through APIs, web services, and other methods. The report provides an overview of the predictive analytics solutions market and evaluations of individual vendors.
Modern Manufacturing: 4 Ways Data is Transforming the IndustryTableau Software
This document discusses how data is transforming the manufacturing industry in 4 key ways: 1) Improving production and plant performance with self-service analytics to empower employees, as shown by Tesla Motors; 2) Enhancing sales and operations planning with data blending and forecasting from multiple systems; 3) Mobilizing supply chains with real-time analytics accessed on mobile devices, as the Coca-Cola Bottling Co. has done; 4) Listening to customer feedback faster through data visualization and taking quicker action, as shown by Trane's improved response times.
The document discusses how SAP BPM can help streamline new product introduction processes by reducing cycle times, improving data quality, increasing visibility, and providing greater process agility. It provides an example of a company that was able to cut new product launch times from 3-6 months to 3-4 weeks by implementing SAP BPM to automate and standardize cross-functional and cross-country coordination activities.
90% of the world's data was generated in the last 12 months, and a lot of that data is about the customer you want to reach. Traditional analytics platforms don't handle the new types of big data, and it can take months or years to get it into the hands of marketers. Join us to learn how leading brands are using Wave, the Salesforce Analytics Cloud to:
• Understand customers like never before by joining data from applications, databases and even products in a single view
• Supercharge marketing personnel by putting the answer to any question in the palms of their hands, on their mobile devices
• Shorten the cycle time to innovate by quickly connecting the dots from marketing to sales to service with a single analytical view
The document discusses a new analytics platform called Wave that was developed by Salesforce. It makes 3 key breaks from legacy analytics approaches. First, it uses principles of indexed search rather than static taxonomies so questions can evolve based on answers. Second, it uses a schema-free architecture so data isn't constrained to fit predefined models. Third, it is built for an increasingly mobile world where people interact with data on various devices. The platform aims to put analytics tools directly in the hands of business users by removing bottlenecks and allowing exploration from any device.
World of Watson 2016 - Implementing data scienceKeith Redman
The document describes several sessions occurring at an IBM event on advanced analytics. It provides details on session titles, times, speakers and industries. Some of the sessions include:
- Creating a data science program from the ground up using IBM technologies like Cognos and SPSS at Blue Cross Blue Shield of Western New York.
- An introduction to the IBM Data Science Experience for data scientists to collaborate in the cloud.
- Using cognitive detection APIs in the Data Science Experience to recognize entities in data sets.
- Building a word2vec model with Twitter data in the Data Science Experience.
The meetup agenda outlines presentations on using BellaDati's agile analytics and reporting tool. The morning sessions cover creating quick reports, collaboration features, and industry-specific app templates. The afternoon advanced analytics session with Peter Fedorocko highlights BellaDati's integrated data warehouse, ETL scripts, and capabilities for analyzing Twitter, MongoDB, and other data sources.
Top 9 Search-Driven Analytics Evaluation CriteriaJames Capurro
In our personal lives, search has transformed how access information. Google, Facebook and Amazon have raised our expectations for how we want to access data at work. Finally, after a decade of failed promises and misguided approaches in the enterprise, search is making a comeback.
In this book, we present nine different criteria that you can use to evaluate search-driven analytics products - everything from training time to search intelligence, data modeling, and total cost of ownership.
Forrester Research evaluated 13 big data predictive analytics solution vendors. They found three Leaders, eight Strong Performers, and two Contenders. Modern tools are lowering the barrier to entry and increasing the appeal of predictive analytics for users with less statistics skills. Predictive analytics has limited value unless the insights can be deployed directly into software applications and business processes through APIs, web services, and other methods. The report provides an overview of the predictive analytics solutions market and evaluations of individual vendors.
Modern Manufacturing: 4 Ways Data is Transforming the IndustryTableau Software
This document discusses how data is transforming the manufacturing industry in 4 key ways: 1) Improving production and plant performance with self-service analytics to empower employees, as shown by Tesla Motors; 2) Enhancing sales and operations planning with data blending and forecasting from multiple systems; 3) Mobilizing supply chains with real-time analytics accessed on mobile devices, as the Coca-Cola Bottling Co. has done; 4) Listening to customer feedback faster through data visualization and taking quicker action, as shown by Trane's improved response times.
The document discusses how SAP BPM can help streamline new product introduction processes by reducing cycle times, improving data quality, increasing visibility, and providing greater process agility. It provides an example of a company that was able to cut new product launch times from 3-6 months to 3-4 weeks by implementing SAP BPM to automate and standardize cross-functional and cross-country coordination activities.
Industrial Analytics and Predictive Maintenance 2017 - 2022Rising Media Ltd.
In this session we will present the results of two recent, international studies on the state of data analytics in industrial settings. You will get insights from an in-depth industry survey of 151 analytics professionals and decision-makers in industrial companies, providing a deep-dive into strategies, project types, cost structures and skill-demand in IoT-based analytics. In addition we will present a survey focusing on predictive analytics covering the market potential and expected development until 2022.
1. The document discusses Teradata Vantage, a data analytics platform. It introduces Patrick Deglon, VP of Advanced Analytics at Teradata, and covers various topics around machine learning, analytics, and data management challenges.
2. An example is provided of an experiment run by eBay to test the effectiveness of marketing campaigns. Results showed increased purchases when marketing was used.
3. Teradata Vantage is positioned as a solution that can help organizations overcome challenges around data management, analytics, and machine learning by providing unified analytics capabilities across different workloads and data types.
Charles Verdon - Samedi SQL - Futur de l'intelligence d'affaire MSDEVMTL
This document discusses the future of business intelligence being real-time. It highlights how real-time data analytics and insights, intelligent systems, cloud infrastructure, devices and assets can help redefine customer service, open new business opportunities, and build competitive edge. The document also discusses challenges of dealing with large amounts of data and devices, and gaining insights from real-time data streams. It promotes connecting existing devices and infrastructure to realize the potential of internet of things.
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.
Social media represents the pulse of the planet, it can shape our ideas and identify new products and markets, help us identify opportunities for our businesses. The trick is how to tap into that channel. IBM Watson Analytics for Social Media is a cloud-based smart data discovery service which puts advanced analytics, without complexity, right at your fingertips! See how Highlands and Islands can get answers and new insights to inform business decisions.
The document discusses big data analytics and tools. It introduces the concept of an "Internet of Corporate Things" and expanding analytics beyond just corporate data. It emphasizes that new tools and approaches are needed to take advantage of big data. The document provides guidance on starting a big data analytics initiative, including choosing a pilot use case, designing a new data architecture with a data lake, building an analytics center of excellence, and training analysts. It also summarizes various big data analytics tools for storage, delivery, and analyzing large datasets.
PowerApps and Microsoft Flow allow users to create business apps and automate workflows without coding. They provide visual designers and templates to quickly build apps that integrate with SharePoint and other services. Examples described include apps for field research, vacation requests, and temporary projects. The document promotes how PowerApps and Flow remove barriers to app development by making it fast, easy, and affordable for any organization.
IBM Watson Analytics sets powerful analytics capabilities free so practically anyone can use them. Automated data preparation, predictive analytics, reporting, dashboards, visualization and collaboration capabilities, enable you to take control of your own analysis. You can then take the appropriate action to address a problem or seize an opportunity, all without asking IT or a data expert for help.
Big Data LDN 2018: THE PATH TO ENTERPRISE AI: TALES FROM THE FIELDMatt Stubbs
Date: 14th November 2018
Location: AI Lab Theatre
Time: 11:50 - 12:20
Speaker: Romain Fouache
Organisation: Dataiku
About: Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. But is that really attainable? And, if so, what is the path to get there? In this talk, Kurt Muehmel, VP Sales Engineering at Dataiku, will share learnings from the field, describing how companies of different sizes and across different sectors have begun this journey. Some are farther along than others, and by making the right decisions now and avoiding stumbling blocks, you can to supercharge your quest to this AI-fuelled future.
This document introduces IBM's Watson and cognitive computing capabilities. It discusses how Watson uses technologies like natural language processing, machine learning, and deep learning to understand language, learn from interactions, and provide answers to questions. The document outlines IBM's vision of a "cognitive era" where systems can automate complex tasks by understanding, learning, and reasoning like humans. It promotes Watson and IBM's cognitive APIs and services as tools to help organizations gain insights from data and transform their business operations and customer experiences for the cognitive era.
The document provides an overview of Watson Analytics, an IBM product that allows users to upload and analyze data. It describes key features such as data upload and editing, exploration of data through asking questions in plain language and generating diagrams, making predictions using selected variables, and creating reports and dashboards. Benefits of Watson Analytics are highlighted as including understanding natural language, generating and evaluating hypotheses, and automatically selecting the best models and detecting relationships through techniques like decision trees and key driver analysis.
I just signed up the IBM Watson Analytics cloud and played around with some sample housing data... Attached presentation highlights some of the key features including Uploading the data, asking questions, making sense out of the data, and prediction/analysis
Accessibility Testing - Using Asqatasun - Meetup WebinarKeyur Shah
This document summarizes a presentation about accessibility testing and continuous integration. It discusses accessibility standards and assistive technologies like screen readers. It emphasizes that accessibility should be built into projects from the start, as it is cheaper than fixing issues later. Several open source accessibility testing tools are presented, including Asqatasun, Pa11y, and AATT. Selenium Builder is demonstrated for recording and replaying tests. The document shows how accessibility testing can be integrated into a continuous integration workflow using tools like Jenkins and Asqatasun.
World of Watson 2016 - Architecting your Analytics HouseKeith Redman
This document provides summaries of several sessions from the IBM WOW conference on architecture solutions and patterns. The summaries are:
1) The first session demonstrates how to integrate various IBM cognitive services through the IBM Digital Experience to create customized digital experiences for customers and employees.
2) The second session shows a live demo of integrating heterogeneous data using a hybrid cloud data lake to support customer targeting for a bank's marketing group.
3) The third session describes an insurance and financial services solution framework that incorporates on-premise and cloud-based cognitive capabilities into business processes.
Watson is an AI system created by IBM to answer questions. It uses natural language processing and is capable of answering questions posed in natural language, by analyzing large amounts of data. Watson is made up of a cluster of IBM servers and can process 500 gigabytes of data per second. While Watson has advantages over humans in processing speed and memory, it still lacks full understanding of context. Future applications of Watson's question answering abilities include use in healthcare for clinical decision support.
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!Tony Pearson
Here are some key facts about conjunctivitis (pinkeye):
- Conjunctivitis, commonly known as pinkeye, is inflammation or infection of the transparent membrane (conjunctiva) that lines your eyelid and covers the white part of your eye.
- Common symptoms include redness of the eye, eye discharge (watery or pus-like), itching, burning, or irritation. You may also experience increased tear production, sensitivity to light, and crusting of eyelids after sleep.
- Pinkeye is usually caused by a viral or bacterial infection. Allergies can also cause conjunctivitis.
- Viral conjunctivitis is highly contag
Watson Analytics is a cloud-based analytics tool from IBM that leverages Watson technology to accelerate data discovery for business users. It provides semantic recognition of data concepts, identifies analysis starting points, and allows natural language interaction. The tool automates tasks like data preparation, generates insights and visualizations, and enables predictive analytics. It aims to make analytics more self-service, collaborative, and accessible to non-experts.
World of Watson 2016 - What is this thing called cognitiveKeith Redman
Coming to understand a painting or a symphony in an unfamiliar style, to recognize the work of an artist or school, to see or hear in new ways, is as cognitive an achievement as learning to read or write or add. – Nelson Goodman
In a nutshell Cognitive is about natural human interaction, and learning. IBM Watson is the first computing system that can relate to Human Beings naturally, and is capable of learning. Check out these sessions to see what Watson has already learned, what it’s learning now, and how it’s helping businesses and humanity address the most pressing needs.
World of Watson 2016 - Data lake or Data SwampKeith Redman
All impoundments of water need flowing mostly pollution free water constantly coming in or they become stagnant. The Data Lake is no different.
IBM views the difference between the Data Lake and the Data Swap and the constant flow of mostly pollution free information that is Governed and its Lifecycle managed. Check out these sessions on Information Governance to see how you can keep your Data Lake Crystal Clean.
Industrial Analytics and Predictive Maintenance 2017 - 2022Rising Media Ltd.
In this session we will present the results of two recent, international studies on the state of data analytics in industrial settings. You will get insights from an in-depth industry survey of 151 analytics professionals and decision-makers in industrial companies, providing a deep-dive into strategies, project types, cost structures and skill-demand in IoT-based analytics. In addition we will present a survey focusing on predictive analytics covering the market potential and expected development until 2022.
1. The document discusses Teradata Vantage, a data analytics platform. It introduces Patrick Deglon, VP of Advanced Analytics at Teradata, and covers various topics around machine learning, analytics, and data management challenges.
2. An example is provided of an experiment run by eBay to test the effectiveness of marketing campaigns. Results showed increased purchases when marketing was used.
3. Teradata Vantage is positioned as a solution that can help organizations overcome challenges around data management, analytics, and machine learning by providing unified analytics capabilities across different workloads and data types.
Charles Verdon - Samedi SQL - Futur de l'intelligence d'affaire MSDEVMTL
This document discusses the future of business intelligence being real-time. It highlights how real-time data analytics and insights, intelligent systems, cloud infrastructure, devices and assets can help redefine customer service, open new business opportunities, and build competitive edge. The document also discusses challenges of dealing with large amounts of data and devices, and gaining insights from real-time data streams. It promotes connecting existing devices and infrastructure to realize the potential of internet of things.
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.
Social media represents the pulse of the planet, it can shape our ideas and identify new products and markets, help us identify opportunities for our businesses. The trick is how to tap into that channel. IBM Watson Analytics for Social Media is a cloud-based smart data discovery service which puts advanced analytics, without complexity, right at your fingertips! See how Highlands and Islands can get answers and new insights to inform business decisions.
The document discusses big data analytics and tools. It introduces the concept of an "Internet of Corporate Things" and expanding analytics beyond just corporate data. It emphasizes that new tools and approaches are needed to take advantage of big data. The document provides guidance on starting a big data analytics initiative, including choosing a pilot use case, designing a new data architecture with a data lake, building an analytics center of excellence, and training analysts. It also summarizes various big data analytics tools for storage, delivery, and analyzing large datasets.
PowerApps and Microsoft Flow allow users to create business apps and automate workflows without coding. They provide visual designers and templates to quickly build apps that integrate with SharePoint and other services. Examples described include apps for field research, vacation requests, and temporary projects. The document promotes how PowerApps and Flow remove barriers to app development by making it fast, easy, and affordable for any organization.
IBM Watson Analytics sets powerful analytics capabilities free so practically anyone can use them. Automated data preparation, predictive analytics, reporting, dashboards, visualization and collaboration capabilities, enable you to take control of your own analysis. You can then take the appropriate action to address a problem or seize an opportunity, all without asking IT or a data expert for help.
Big Data LDN 2018: THE PATH TO ENTERPRISE AI: TALES FROM THE FIELDMatt Stubbs
Date: 14th November 2018
Location: AI Lab Theatre
Time: 11:50 - 12:20
Speaker: Romain Fouache
Organisation: Dataiku
About: Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. But is that really attainable? And, if so, what is the path to get there? In this talk, Kurt Muehmel, VP Sales Engineering at Dataiku, will share learnings from the field, describing how companies of different sizes and across different sectors have begun this journey. Some are farther along than others, and by making the right decisions now and avoiding stumbling blocks, you can to supercharge your quest to this AI-fuelled future.
This document introduces IBM's Watson and cognitive computing capabilities. It discusses how Watson uses technologies like natural language processing, machine learning, and deep learning to understand language, learn from interactions, and provide answers to questions. The document outlines IBM's vision of a "cognitive era" where systems can automate complex tasks by understanding, learning, and reasoning like humans. It promotes Watson and IBM's cognitive APIs and services as tools to help organizations gain insights from data and transform their business operations and customer experiences for the cognitive era.
The document provides an overview of Watson Analytics, an IBM product that allows users to upload and analyze data. It describes key features such as data upload and editing, exploration of data through asking questions in plain language and generating diagrams, making predictions using selected variables, and creating reports and dashboards. Benefits of Watson Analytics are highlighted as including understanding natural language, generating and evaluating hypotheses, and automatically selecting the best models and detecting relationships through techniques like decision trees and key driver analysis.
I just signed up the IBM Watson Analytics cloud and played around with some sample housing data... Attached presentation highlights some of the key features including Uploading the data, asking questions, making sense out of the data, and prediction/analysis
Accessibility Testing - Using Asqatasun - Meetup WebinarKeyur Shah
This document summarizes a presentation about accessibility testing and continuous integration. It discusses accessibility standards and assistive technologies like screen readers. It emphasizes that accessibility should be built into projects from the start, as it is cheaper than fixing issues later. Several open source accessibility testing tools are presented, including Asqatasun, Pa11y, and AATT. Selenium Builder is demonstrated for recording and replaying tests. The document shows how accessibility testing can be integrated into a continuous integration workflow using tools like Jenkins and Asqatasun.
World of Watson 2016 - Architecting your Analytics HouseKeith Redman
This document provides summaries of several sessions from the IBM WOW conference on architecture solutions and patterns. The summaries are:
1) The first session demonstrates how to integrate various IBM cognitive services through the IBM Digital Experience to create customized digital experiences for customers and employees.
2) The second session shows a live demo of integrating heterogeneous data using a hybrid cloud data lake to support customer targeting for a bank's marketing group.
3) The third session describes an insurance and financial services solution framework that incorporates on-premise and cloud-based cognitive capabilities into business processes.
Watson is an AI system created by IBM to answer questions. It uses natural language processing and is capable of answering questions posed in natural language, by analyzing large amounts of data. Watson is made up of a cluster of IBM servers and can process 500 gigabytes of data per second. While Watson has advantages over humans in processing speed and memory, it still lacks full understanding of context. Future applications of Watson's question answering abilities include use in healthcare for clinical decision support.
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!Tony Pearson
Here are some key facts about conjunctivitis (pinkeye):
- Conjunctivitis, commonly known as pinkeye, is inflammation or infection of the transparent membrane (conjunctiva) that lines your eyelid and covers the white part of your eye.
- Common symptoms include redness of the eye, eye discharge (watery or pus-like), itching, burning, or irritation. You may also experience increased tear production, sensitivity to light, and crusting of eyelids after sleep.
- Pinkeye is usually caused by a viral or bacterial infection. Allergies can also cause conjunctivitis.
- Viral conjunctivitis is highly contag
Watson Analytics is a cloud-based analytics tool from IBM that leverages Watson technology to accelerate data discovery for business users. It provides semantic recognition of data concepts, identifies analysis starting points, and allows natural language interaction. The tool automates tasks like data preparation, generates insights and visualizations, and enables predictive analytics. It aims to make analytics more self-service, collaborative, and accessible to non-experts.
World of Watson 2016 - What is this thing called cognitiveKeith Redman
Coming to understand a painting or a symphony in an unfamiliar style, to recognize the work of an artist or school, to see or hear in new ways, is as cognitive an achievement as learning to read or write or add. – Nelson Goodman
In a nutshell Cognitive is about natural human interaction, and learning. IBM Watson is the first computing system that can relate to Human Beings naturally, and is capable of learning. Check out these sessions to see what Watson has already learned, what it’s learning now, and how it’s helping businesses and humanity address the most pressing needs.
World of Watson 2016 - Data lake or Data SwampKeith Redman
All impoundments of water need flowing mostly pollution free water constantly coming in or they become stagnant. The Data Lake is no different.
IBM views the difference between the Data Lake and the Data Swap and the constant flow of mostly pollution free information that is Governed and its Lifecycle managed. Check out these sessions on Information Governance to see how you can keep your Data Lake Crystal Clean.
Analytic Excellence - Saying Goodbye to Old ConstraintsInside Analysis
The Briefing Room with Dr. Robin Bloor and Actian
Live Webcast August 6, 2013
http://www.insideanalysis.com
With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis?
Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.
Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
Predictive Analytics World Berlin 2016 Call for SpeakersDatentreiber
Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
This document summarizes a report on big data analytics and the use of analytical platforms. It describes how companies have been dealing with large volumes of data for decades but that data volumes are growing exponentially due to new types of structured, semi-structured, and unstructured data from sources like the web, social media, sensors and machine data. New analytical platforms and technologies are needed to efficiently store, manage and analyze this diverse new "big data". The report is based on a survey of 302 BI professionals and interviews with industry experts regarding their use of analytical platforms for big data analytics.
The document discusses bridging the gap between current operating systems and AI-integrated systems, including transforming from process-driven to data-driven enterprises and the challenges of big data science initiatives; it also provides two case studies on using artificial intelligence for subjective analytics on social media and developing chatbots.
We have decided to go for a special issue on “The 10 Most Booming SaaS Solution Providers 2018”. It will walk you through a list of companies which have proved their substance with their innovatory services. On the Cover of the issue, we have featured Socialbakers, ‘One And All’ SaaS Solution Provider for all digital marketing queries.
Cloud analytics is a type of cloud service model where data analysis and related services are performed on a public or private cloud. Cloud analytics can refer to any data analytics or business intelligence process that is carried out in collaboration with a cloud service provider.
Cloud analytics is also known as Software as a Service (SaaS)-based business intelligence (BI).
This document provides a brief history and overview of analytics. It discusses key questions addressed by analytics like what happened in the past, what is happening now, and what may happen in the future. It outlines different analytic communities that have emerged including statistics, business intelligence, web analytics, operational research, and artificial intelligence/data mining. Each community is described in terms of its origins, techniques/tools, trajectories, aims/themes, issues/limitations, and examples. The document suggests these communities are now merging together due to factors like increased data availability and demand for organizations to be more efficient.
The document announces an upcoming AI and OpenPOWER meetup on March 25th, 2018 in San Ramon, California from 4-7:30pm where attendees can learn about the latest advances in artificial intelligence and deep learning tools from industry leaders and pioneers and discuss how these technologies are impacting their industries. Prominent speakers will discuss topics ranging from machine learning performance and best practices to AI research at NASA and scalable machine learning with Apache SystemML on Power systems. The meetup aims to gather cutting-edge insights on AI from innovators across different sectors.
Here are a few key points regarding the legal situation of web scraping:
- There is no uniform legal framework or consensus across jurisdictions. Copyright law varies by country.
- In general, scraping publicly available data from websites is legal, but scraping at large scale or in an automated/repetitive way may violate the website's terms of service.
- Scraping private/members-only sections of websites without authorization is generally not permitted.
- Web crawlers/scrapers need to respect robots.txt protocols and be polite/non-disruptive to websites. Overly aggressive scraping could be seen as a denial-of-service attack.
- Some legal cases have set precedents, such as the
Analytics 3.0.pdfArtwork Chad Hagen, Nonsensical Infographic .docxSHIVA101531
Analytics 3.0.pdf
Artwork: Chad Hagen, Nonsensical Infographic No. 5, 2009, digital
Those of us who have spent years studying “data smart” companies believe we’ve already lived through two eras in the use of analytics. We might call them BBD and ABD—before big data and after big data. Or, to use a naming convention matched to the topic, we might say that Analytics 1.0 was followed by Analytics 2.0. Generally speaking, 2.0 releases don’t just add some bells and whistles or make minor performance tweaks. In contrast to, say, a 1.1 version, a 2.0 product is a more substantial overhaul based on new priorities and technical possibilities. When large numbers of companies began capitalizing on vast new sources of unstructured, fast-moving information—big data—that was surely the case.
Some of us now perceive another shift, fundamental and far-reaching enough that we can fairly call it Analytics 3.0. Briefly, it is a new resolve to apply powerful data-gathering and analysis methods not just to a company’s operations but also to its offerings—to embed data smartness into the products and services customers buy.
I’ll develop this argument in what follows, making the case that just as the early applications of big data marked a major break from the 1.0 past, the current innovations of a few industry leaders are evidence that a new era is dawning. When a new way of thinking about and applying a strength begins to take hold, managers are challenged to respond in many ways. Change comes fast to every part of a business’s world. New players emerge, competitive positions shift, novel technologies must be mastered, and talent gravitates toward the most exciting new work.
Managers will see all these things in the coming months and years. The ones who respond most effectively will be those who have connected the dots and recognized that competing on analytics is being rethought on a large scale. Indeed, the first companies to perceive the general direction of change—those with a sneak peek at Analytics 3.0—will be best positioned to drive that change.
The Evolution of Analytics
My purpose here is not to make abstract observations about the unfolding history of analytics. Still, it is useful to look back at the last big shift and the context in which it occurred. The use of data to make decisions is, of course, not a new idea; it is as old as decision making itself. But the field of business analytics was born in the mid-1950s, with the advent of tools that could produce and capture a larger quantity of information and discern patterns in it far more quickly than the unassisted human mind ever could.
Today it isn’t just online and information firms that can create products and services from analyses of data. It’s every firm in every industry.
Analytics 1.0—the era of “business intelligence.”
What we are here calling Analytics 1.0 was a time of real progress in gaining an objective, deep understanding of important business phenomena and giving managers.
World of Watson 2016: Journey to Cognitive Excellence - Harness the Force of ...Julie Severance
Becoming a cognitive business is a journey, not a destination. A cognitive analytics culture is not something you can just buy or install. Although the right technology is crucial, its true value arises when the organizational mindset changes. Many organizations have learned to embrace analytics, but embracing cognitive is another step entirely, and it’s one that may be even more challenging. However, the possibilities are endless and the potential rewards make it worthwhile.
(the color might not share correct on slideshare) Might want to download to view... Some late work we put together for the executive main stage keynotes at TIBCO NOW, our annual user conference. Here is some nice supporting imagery using powerpoint on a uniquely formatted screen
Watson Analytics is a self-service analytics tool that allows non-technical users to access, analyze, and visualize their data without needing data scientists or IT resources. It uses natural language processing to help users ask questions of their data and provides guided predictive analytics to spark new insights. The tool delivers answers with confidence ratings and enables users to author dashboards and stories to communicate their findings to others.
In this presentation we take a classic example of when we have both traditional databases like Salesforce, SAP, and MySQL, and big data databases that deal with a huge amount of data that would not be possible to do using the traditional databases. Leveraging Anypoint Platform and the relevant connectors, you can start innovating without the complexity that is usually associated with Big Data.
Show various use cases and scenarios for Hadoop (tooling) on the cloud and modern data architectures.
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•Tooling and insights provided by non-traditional approaches to data
•Example a 360 view of the customer,
•Sentiment analysis with social media such as Twitter, traffic patterns, etc.
Evolution of Data Analytics: the past, the present and the futureVarun Nemmani
This paper delves into the topic of advanced analytics, the current industry demands to utilize and analyze huge/diverse amounts of data, how big data analytics is becoming a part of the decision making process and to anticipate trends. This paper takes the reader from Analytics era 1.0 to the current Analytics era 3.0; shows the future projections of big data analytics and also the current leaders of the Big Data Analytics market.
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The document discusses setting up a business for traders to take advantage of tax benefits and asset protection. It recommends forming an LLC or corporation to better manage finances, build legitimacy, provide asset protection, reduce taxes through deductions, and facilitate estate planning. The key steps outlined are developing a business plan, choosing an entity structure and state to file in, obtaining an EIN, filing tax forms, organizing the business, and running it professionally. Starting simple and consulting professionals is advised.
World of Watson 2016 - Content ManagementKeith Redman
It’s been said billions of times: “The job’s not done until the paperwork is done.”
The paperwork, Content, is the lifeblood of every organization. Capturing that content, building business processes around it, governing the lifecycle of that content, and disseminating it to those who have a legitimate need for it, consumes more & more business resources every day. If your struggling with your content, check out these sessions to help you ‘get the paperwork done!’
World of Watson 2016 - For your Boss - Panel discussionsKeith Redman
Are you overworked? Do you need a vacation, or a Staycation? Send your boss to the World of Watson!
The World of Watson has a number of sessions geared specifically to that Cat that manages your professional life. There is also the benefit of one-on-one conversations with IBM executives that can be scheduled with the assistance of your IBM representative. So if you can’t go to the World of Watson, send your boss! After all; when the cat’s away, the mice can play… (If you can’t go, don’t fret it too hard. Many of the major sessions will be streamed on https://ibmgo.com.)
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Have you ever noticed that all the movies made about the topic of Artificial Intelligence portray the doom of human kind and the hero or heroine’s success at averting it? Hopefully we never truly get to that point. However, if the inner geek in you is interested in checking out what IBM research is working on today, check out these sessions.
World of Watson 2016 - Internet of (Things) TomorrowKeith Redman
According to Forbes Magazine, in 2008 the number of devices connected to the internet first exceeded the number of Humans connect to the internet. Since then, the Internet has exploded with the number of 'Things' connected to it and communicating across it. That data is a treasure for those who know how to mine it. Check out these sessions on Analytics in the Internet of Tomorrow.
World of Watson 2016 - Information InsecurityKeith Redman
We call it security, however we’re really dealing with our insecurities, especially around our information.
The recent Yahoo announcement is astonishing, not because it happened or the number of people potentially exposed, but for the time it took to realize it had happened – approximately 2 years(?)! Information is the lifeblood of Analytics. We need it and we need to protect it. Check out these sessions to see what’s new in addressing our Insecurities about our Information.
World of Watson 2016 - Put your Analytics on Cloud 9Keith Redman
This document provides summaries for several sessions occurring at an IBM event on building applications using IBM cloud technologies like Watson, Bluemix, dashDB and more. The summaries are:
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How can we build one?
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End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
1. Speakers Industry
ALY–1118: Into the Storm: Extracting Weather Data and
Putting It to Use for Your Business
Sessions Advanced analytics
Hands-on Lab
, 08:30 AM – 11:00 AM
Weather is one of the largest influencing factors on the way you run your business. You
work to harness value from weather data and use it to drive your organization’s success.
But there can still be so many questions. Who can you trust for your data? And
furthermore, once you have it –how can it be used for decision-making? Be ready for the
storm. Join us to get a hands-on experience, accessing and incorporating weather data
into your analytic operations. You will learn how to extract weather data (e.g. temperature,
wind speeds, precipitation) using The Weather Company API's. You will also learn how to
perform advanced analytics without needing to have advanced statistical knowledge
using Watson Analytics & SPSS Modeler.
ALY–1307: Watson Analytics Hands-On Workshop
24 October 2016
Sunil Patel, IBM
Catherine Roebuck, IBM
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
1 of 22 9/26/2016 1:42 PM
2. Speakers Industry
Sessions Advanced analytics
Hands-on Lab
, 01:00 PM – 03:30 PM
Our Watson Analytics Workshop is designed to introduce you to our revolutionary
approach to analytics that is smart data discovery. Learn from Watson Analytics experts
how you can benefit from guided exploration, automated predictive analysis and
effortless dashboard creation. Following a live demonstration of the solution, we will
provide a structured, hands-on education session for all participants to learn how to use
the product with one of our sample datasets.
27 October 2016
Mary-Jane Goddard, IBM
Ashley Perry, IBM
Alex Josephs, IBM
Lindsey Gibson, IBM
Phillip Wall, IBM
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
2 of 22 9/26/2016 1:42 PM
3. Speakers Industry
ALY–1354: Now That’s Smart!: Watson Analytics and
Cognos Analytics for Data Discovery, Now and Next
Sessions Advanced analytics
Breakout Session
, 08:00 AM – 08:45 AM
Join this session to learn how the integration of IBM Watson Analytics and Cognos
Analytics enables a more singular, end-to-end, self-service experience from operational
reporting through advanced analytics. You’ll also get a glimpse of future integration
plans.
26 October 2016
Carm Janneteau, IBM
Robert Hatfield, IBM
Information Technology
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
3 of 22 9/26/2016 1:42 PM
4. Speakers Industry
ALY–1379: Watson Analytics API-Tude: Adding Cognitive
Capabilities to Your Application
Sessions Advanced analytics
Breakout Session
, 05:00 PM – 05:45 PM
Most applications require some form of dashboard for their users. With IBM Watson
Analytics APIs, you can take those dashboards to the next level. Learn how cognitive
capabilities such as natural language processing (NLP) can add more dimension to the
insights your application produces.
25 October 2016
Andrew Belo, IBM
Martin Petitclerc, IBM Canada
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
4 of 22 9/26/2016 1:42 PM
5. Speakers Industry
ALY–1389: Laying the Foundation for Efficiency:
Improving Manufacturing with IBM SPSS and Watson
Analytics
Sessions Advanced analytics
Breakout Session
, 03:00 PM – 03:45 PM
For manufacturers, inefficiencies in the production process can mean inconsistent
output, lost time and materials, and ultimately lost revenue. Command Alkon, a global
technology solutions provider for concrete producers, recognized an opportunity to
provide additional value to its customers by helping them improve concrete production
efficiency. Join this session to see how Command Alkon identified a customer need and
created/developed a customized solution with the SPSS Predictive Analytics Software
Portfolio and Watson Analytics.
ALY–1401: Boring Enterprise Data + Relevant Social Data
= Amazeballs!
Sessions Advanced analytics
Breakout Session
, 03:00 PM – 03:45 PM
Gone are the days when you had to analyze your dull corporate data in a silo while
interns crawled through social media posts looking for negative feedback. Take the
powerful data exploration and predictive capabilities of IBM Watson Analytics and join it
with data using Watson Analytics for Social Media to explore relevant relationships and
25 October 2016
PAUL HUDEC, LPA Software Solutions
Mark Merino, Command Alkon
Manufacturing
25 October 2016
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
5 of 22 9/26/2016 1:42 PM
6. Speakers Industry
interactions. See the impact that social discussions can have on your business.
Speaker Industry
ALY–1417: Citizen Analyst on the Rise: How Watson
Analytics Can Power Movements
Sessions Advanced analytics
Breakout Session
, 04:00 PM – 04:45 PM
The Internet first gave us the citizen journalist, the citizen who covered the stories and
topics mainstream media wouldn't. Today, with the abundance of data and tools like IBM
Watson Analytics, we see the rise of the citizen analyst. Citizen analysts are the fact
checkers, the data analysts, the truth-tellers that today's data-rich society needs. Learn
how Watson Analytics can power the citizen analyst movement and what it means for
you as a business leader.
ALY–1425: What's New and In the Labs for Watson
Analytics
Sessions Advanced analytics
Breakout Session
Matt Denham, IBM
Michael McGeein, IBM
Not Industry Specific
26 October 2016
Christopher Penn, SHIFT
Communications
Analyst/Press
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
6 of 22 9/26/2016 1:42 PM
7. Speakers Industry
, 09:00 AM – 09:45 AM
IBM Watson Analytics is continuously evolving as we seek to improve how line of
business users extract value from their data. In this session, we will demonstrate some
of the latest enhancements as well as preview new features in the labs that might be
coming soon to Watson Analytics.
Speakers Industry
ALY–1447: In Your Own Words: Natural Language
Processing and Search in Watson Analytics
Sessions Advanced analytics
Breakout Session
, 04:00 PM – 04:45 PM
IBM Watson Analytics uses natural language processing (NLP) to search for the data
you need and create appropriate visualizations. Of course, you can also search for
content you have already loaded or created. The boundaries between these two
concepts have become blurred as traditional search capabilities expand to incorporate
new ideas like semantic matching. In this interactive session, you’ll hear about NLP
and/or/versus search. What are the differences? What are the similarities? How do users
want to interact with Watson Analytics when it comes to NLP and search?
27 October 2016
Kyle Weeks, IBM
Leah Hostetler, IBM
Not Industry Specific
24 October 2016
Leah Hostetler, IBM
Graham Watts, IBM
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
7 of 22 9/26/2016 1:42 PM
8. Speakers Industry
ALY–1461: Data Prep: How to Improve the Job You Hate!
Sessions Advanced analytics
Breakout Session
, 05:00 PM – 05:45 PM
This overview of data shaping and cleansing operations will help you prepare data for
use in analysis. The core product focus is the new, extensive data shaping functionality
in IBM Watson Analytics, and we’ll show you how to maximize the analytic value in your
data. The session will also cover using IBM DataWorks, and using Datawatch Monarch
for semi-structured data.
24 October 2016
Robert Hatfield, IBM
Michael McGeein, IBM
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
8 of 22 9/26/2016 1:42 PM
9. Speakers Industry
ALY–1464: Moving from Data to Insight with an
End-to-End Analytics Solution
Sessions Advanced analytics
Breakout Session
, 10:00 AM – 10:45 AM
Join this session to see the full value of IBM Watson Analytics. We’ll start from the point
where you bring in data and cover how to identify key drivers for your business, discover
new insights, communicate with others—and everything in between.
24 October 2016
Carm Janneteau, IBM
Valentin Balteanu, IBM
Financial Markets
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
9 of 22 9/26/2016 1:42 PM
10. Speakers Industry
ALY–2095: Hands-On Lab: From Zero to Social Analytics
Hero with IBM Watson Analytics for Social Media
Sessions Advanced analytics
Hands-on Lab
, 01:00 PM – 03:30 PM
This hands-on lab for IBM Watson Analytics for Social Media will guide you through the
complete process of creating a social media analysis for a particular domain, as well as
analyzing and interpreting the results of an analysis. We will also cover ways in which you
can combine the results with other data within Watson Analytics. As part of the lab, we
will share best practices as well as use cases, so you have all the information you need
to get started on your own analysis.
ALY–2100: How Watson Analytics Makes It Easy to
Deeply Analyze Data and Present Clear Predictive
Results
Sessions Advanced analytics
Hands-on Lab
, 04:00 PM – 06:30 PM
The Chivas company gathers data for sales on TaoBao.com, including price, discount,
campaign type, outlet name, etc. Say an executive wants a report on what elements
impact revenue, and what type of campaign generates the most revenue, but is not an
expert with complex data analysis tools. He can ask Watson Analytics: “What drives
27 October 2016
Jason Salares, IBM
Allison Smith, IBM
Alexander Lang, IBM
Not Industry Specific
25 October 2016
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
10 of 22 9/26/2016 1:42 PM
11. Speakers Industry
revenue?” Watson’s reply shows an 85% predictive strength for the interaction of
“sales” and “campaign type,” shows that sales activity for Chinese New Year generates
the most revenue, and shows what price is ideal. Watson also generates an easy-to-
understand visual report, providing key insights for further decision-making. See how
Watson makes it easy to find deep relationships in unstructured data.
Speakers Industry
ALY–2186: Rise Up: Atlanta Falcons Use IBM Watson
Analytics to Improve Draft Performance
Sessions Advanced analytics
Breakout Session
, 08:00 AM – 08:45 AM
The Atlanta Falcons are in the National Football League (NFL), one of the most
competitive sports leagues on the planet. The NFL draft is critical to building the best
team and selecting the right players that will compete for championships. Come to this
session to hear how the Falcons are using IBM Watson Analytics to analyze draft picks
to refine their strategy and gain a competitive advantage.
ALY–2247: How to Build Expert Storybooks in IBM
Watson Analytics
Lei Nie, IBM
Chen Zhou, IBM
Retail
24 October 2016
Stephen Archut, IBM
Alex Josephs, IBM
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
11 of 22 9/26/2016 1:42 PM
12. Speakers Industry
Sessions Advanced analytics
Hands-on Lab
, 12:30 PM – 03:00 PM
In this hands-on lab, you'll learn how to effectively design and build expert storybooks
using a sample dataset in IBM Watson Analytics. Guided analytics templates for
business problems, expert storybooks serve as personal guides, walking users through
the analysis, pointing out top findings and helping users interpret results in plain
language.
24 October 2016
Stephen Archut, IBM
Suman Mukherjee, IBM
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
12 of 22 9/26/2016 1:42 PM
13. Speakers Industry
ALY–2258: A Niche for Watson Analytics in Miami-Dade
County
Sessions Advanced analytics
Breakout Session
, 02:00 PM – 02:45 PM
Miami-Dade County, one of the largest counties in the US, is constantly on the lookout
for ways to improve self-service in various business areas. Their solutions employ
technologies such as IBM Cognos Analytics, IBM Predictive Analytics, Intelligent
Operations Center for Smarter Cities, and Watson Explorer. When users were looking for
additional analysis, Miami-Dade County turned to Watson Analytics. This session will
demonstrate how departments at Miami-Dade County are starting to use Watson
Analytics to analyze patterns and identify opportunities to improve services.
ALY–2266: Adding a Splash of Cognitive to Your IBM
Watson Analytics Expert Storybooks
Sessions Advanced analytics
Breakout Session
, 08:00 AM – 08:45 AM
Expert storybooks tell a domain-expert curated story with your data. Add the cognitive
smarts of visualizations that respond to your data with explanations, and you have smart
annotations for expert storybooks. This is like having an expert hold your hand while
walking you through your data, pointing out the good, the bad and the ugly. Join us for a
hands-on look at an expert storybook with smart annotations. We will also show you
25 October 2016
Rosario Fiallos, Miami-Dade County
Michael Samawi, IBM
Government
27 October 2016
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
13 of 22 9/26/2016 1:42 PM
14. Speakers Industry
how to create your own expert storybook and make it cognitive by baking smart
annotations right in. You’ll enjoy the developer’s perspective on the nuts and bolts of
expert storybooks and smart annotations.
Speakers Industry
ALY–2323: Combining Virtual Reality and IBM Watson
into a Cognitive Sandbox for Advanced Analytics
Sessions Advanced analytics
Breakout Session
, 11:00 AM – 11:45 AM
Large amounts of data combined with the complexity of machine learning algorithms
make data analytics in today's age a daunting task for new analysts. To explore more
novel and intuitive ways for finding patterns in data, project VIDA was started. Project
VIDA attempts to blend the human speech understanding of Watson and the data
smarts of Watson Analytics into a virtual reality application to create an immersive
experience for data analytics. In this information session, the VIDA team will share their
experiences, offer tips and demonstrate how they overcame hurdles.
ALY–2372: How to Conquer the World With IBM Watson
Analytics and IBM Cognos Analytics
Daniel Rope, IBM
William Bronsema, IBM
Not Industry Specific
27 October 2016
Vikremjeet BHAGI, IBM
Bryan Parker, IBM
Analyst/Press
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
14 of 22 9/26/2016 1:42 PM
15. Speaker Industry
Sessions Advanced analytics
Breakout Session
, 01:00 PM – 01:45 PM
IBM Watson Analytics helps you discover new insights in your data, and IBM Cognos
Analytics can help you operationalize those insights—a very powerful combination! This
session will show you how to get started with Watson Analytics and Cognos Analytics,
and will showcase the power of identifying new findings in your data and how to promote
them in your analytics community. We will walk you through content navigation, file
upload, data modules and dashboard development. As a bonus, we’ll give you a glimpse
of the future and have a conversation around the direction for these innovative products.
Get ready to use Watson Analytics to understand your data, and Cognos Analytics to
develop dashboards that operationalize those insights.
24 October 2016
Dale Forman, IBM Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
15 of 22 9/26/2016 1:42 PM
16. Speakers Industry
ALY–2383: How Boeing Lands Value and Enhanced
Visual Analytics with IBM Cognos Analytics
Sessions Advanced analytics
Breakout Session
, 09:00 AM – 09:45 AM
Organizations frequently struggle with deploying new analytics capabilities, and are not
sure how to move from "what" happened to "why" and eventually to "what will" happen.
In this session, we explain how IBM Cognos Analytics enables you to use existing
content with new analytics capabilities to drive increased business value. You’ll get
details on delivering enterprise business intelligence, as well as more advanced visual
analysis, pattern exploration and correlation from a single platform. We’ll show you how
to identify and understand why you’re behind schedule, over budget or have quality
issues. Then we’ll prepare you for the next wave of predictive solutions that use the
cognitive capabilities of IBM SPSS and IBM Watson Analytics.
ALY–2697: Just Breathe: How Gore Uses IBM Watson
Analytics for Social Media for Business Decisions
Sessions Advanced analytics
Breakout Session
, 10:00 AM – 10:45 AM
W. L. Gore and Associates has made its name by creating innovative, technology-driven
solutions, from medical devices that treat aneurysms to high-performance, breathable
GORE-TEX fabrics. This session will cover how we use IBM Watson Analytics for Social
24 October 2016
Kay Vandevanter, The Boeing Company
Chad Sandler, The Boeing Company
Not Industry Specific
26 October 2016
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
16 of 22 9/26/2016 1:42 PM
17. Speakers Industry
Media to get data-driven insights into our diverse products portfolio from social media
data, and show how they influence key business decisions. We will also talk about how
we are rolling out social media analytics across the organization, including the
necessary ramp-up of people that use the solution in their daily work.
Speakers Industry
ALY–2709: Using Watson Analytics and SPSS Modeler to
Uncover the Impact of Climate Events
Sessions Advanced analytics
Theater Session
, 03:30 PM – 03:50 PM
How are climate events affecting human migration and social stresses? How can we
avoid catastrophic outcomes? IBM Academy of Technology is using IBM Watson
Service Extensions to IBM SPSS Modeler for a study of climate events. Natural language
processing, automated predictive modeling, guided data discovery and annotations are
part of a cognitive computing and predictive analytics approach that incorporates
automatic language translation, sentiment analysis, and weather trend prediction.
Governments, cities, and other entities can then use the study to improve their resilience
and responsiveness. This talk shows Watson’s applicability to this problem and
highlights the extensibility of the SPSS Modeler predictive analytics platform.
Alexander Lang, IBM
Chris Lobo, W.L. Gore & Associates
Not Industry Specific
25 October 2016
Cheryl HOWARD, IBM
STEPHEN GAWTRY, IBM
Government
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
17 of 22 9/26/2016 1:42 PM
18. Speakers Industry
ALY–2794: Dive into IBM Watson Analytics Security: Now
and Next
Sessions Advanced analytics
Breakout Session
, 10:00 AM – 10:45 AM
Are you ready for your data in the cloud? This session focuses on the security of IBM
Watson Analytics, IBM's smart data discovery service. We will cover data, user,
operational, physical and personnel security. With security being a continuum, we will
also take a closer look at what is forthcoming in this space.
27 October 2016
Michael McGeein, IBM
Pauline Salamani, IBM
Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
18 of 22 9/26/2016 1:42 PM
19. Speakers Industry
ALY–2940: Augmenting Data Analysis with Social Media
Analysis to Tell a Complete Story
Sessions Advanced analytics
Breakout Session
, 08:00 AM – 08:45 AM
IBM Watson Analytics is famous for making it easy for people with only a smattering of
analytics experience understand their data on their own. However, there is much more to
Watson Analytics than you think. Join this session to see how new sets of visualizations,
such as network diagrams, can be generated from structured data for advanced
analysis. See also how you can augment that with a Watson Analytics Social Media
(WASM) project that analyzes unstructured data to find correlations between your data
and social media activity.
ALY–3077: A Powerful Duo: IBM Watson Analytics and
Planning Analytics
Sessions Advanced analytics
Breakout Session
, 02:00 PM – 02:45 PM
How often do you or others in your organization use spreadsheets to make decisions?
The combination of IBM Watson Analytics and Planning Analytics takes users beyond
the limitations of spreadsheets to dig deeper and discover what impacts the bottom line.
They can infuse predictive analysis into forecasting, create rich data visualizations, link
tactics with financial plans, and deliver insights to improve decisions. The Planning
26 October 2016
Suman Mukherjee, IBM
Ronnie Sheth, IBM
Not Industry Specific
27 October 2016
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
19 of 22 9/26/2016 1:42 PM
20. Speakers Industry
Analytics interactive, customizable workspace retains the familiar Excel interface.
Watson Analytics provides smart data analysis and visualizations to help you formulate
and evaluate plans. Attend this session to see how this powerful combination can be
used to get better answers out of your spreadsheets.
Speaker Industry
ALY–3143: Watson Analytics for Social Media: A Window
into the Hearts of Customers and Prospects
Sessions Advanced analytics
Theater Session
, 10:30 AM – 10:50 AM
There are countless social media sites out there. How can you stay on top of the
impressions your company and product are making? Geared for the social media
beginner, this session uses a series of light-hearted examples (this is social media data,
after all!) to teach the effective use of Watson Analytics for Social Media. You’ll learn how
to go after the data, find the nuggets of value and polish them for impact. Along the way,
we’ll make discoveries—some funny, some confounding—that let you see how social
media data gives you a deeper understanding of your business.
ALY–3508: Delivering Process Improvement with IBM
Watson Analytics at Citibank
Stephen Archut, IBM
Debra Pesek, IBM
Not Industry Specific
26 October 2016
Christine Fulford, IBM Canada Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
20 of 22 9/26/2016 1:42 PM
21. Speaker Industry
Sessions Advanced analytics
Breakout Session
, 12:00 PM – 12:45 PM
In this session, Stuart Hill, global head of analytics, enterprise supply chain at Citibank,
will take you through how he and his team used IBM Watson Analytics to take a large set
of operational and procurement data and turn it into critical insight within the operational
cycle time that helped improve business efficiency. The session will cover the business
problem, how the data was used and some examples of the output produced.
Speaker Industry
ALY–3760: Build a Storytelling Interactive Report with
Watson Analytics
Sessions Advanced analytics
15 Min Hello World Lab
, 01:00 PM – 05:00 PM
Are you still using Microsoft Excel to build a report? Do you want to interact with your
report when you present the result to your boss? Try Watson Analytics. This lab shows
how to build a storytelling interactive report with Watson Analytics. You will see how
easily you can get graphical insight from sales data by natural language Q&A. The data
comes from a leading e-commerce platform in China. With a few clicks, your interactive
report is created and ready to be shared with others. You can easily find out things you
don't know about your business from a visualization chart.
24 October 2016
Stuart Hill, Citigroup Not Industry Specific
24 October 2016
Lei Nie, IBM Not Industry Specific
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
21 of 22 9/26/2016 1:42 PM
22. Speaker Industry
ALY–3765: Build a Cognitive Fashion Retail Business
Sessions Advanced analytics
Ask Me Anything Demo Stations
, 08:00 AM – 09:30 AM
The fashion retail business is a quick-change business. You have new products every
season. It will be a nightmare to understand your business performance with Microsoft
Excel. With Watson Analytics, you can connect to your database and ask questions
about your business with natural language. Watson Analytics will load the data, clean it,
find results from it and present it in the same natural language and graphics. You can
learn what drives your sales or any performance metrics you want to know. You may
also get practical guidance on how you can improve your sales. It's also easier to see if
your marketing campaign works as you expected. All these queries are easy enough to
make, without the need for data analysis knowledge.
26 October 2016
Lei Nie, IBM Retail
https://www-01.ibm.com/events/global/wow/sessions/print/index.html
22 of 22 9/26/2016 1:42 PM