Financial Services firms are using big data to build better intelligence about their employees and customers, this presentation describes "how" and "why" data scientists play an important role in that process.
Getting Started with Splunk Enterprise Hands-OnSplunk
The document provides an overview of Splunk Enterprise and how it can be used to analyze machine data. It discusses concepts like big data, machine data, and how Splunk allows users to index data from various sources and ask questions of that data through a simple interface. Specific commands are also shown that demonstrate searching tutorial machine data to extract fields, visualize results through charts, and save searches and dashboards.
Splunk provides software that allows users to search, monitor, and analyze machine-generated data. It collects data from websites, applications, servers, networks and other devices and stores large amounts of data. The software provides dashboards, reports and alerts to help users gain operational intelligence and insights. It is used by over 4,400 customers across many industries to solve IT and business challenges.
151111 BASE ELN 151112 CIO Big Data CollaborationDr. Bill Limond
The document discusses the role of CIOs and big data collaboration. It notes that big data is growing exponentially, with 2.5 quintillion bytes of data created every day from a variety of sources. Big data offers significant value if organizations can analyze it, with potential savings in healthcare, retail, and other sectors. However, big data requires collaboration both internally within organizations and externally with partners. The document provides examples of successful big data collaborations and argues that CIOs will continue playing an important role in facilitating information management and digital transformation through big data initiatives.
The document summarizes the emerging opportunities and challenges around personal data as a new asset class. It outlines how personal data is being generated at unprecedented scales from various sources. However, the current personal data ecosystem remains fragmented without common standards or principles. The summary identifies key stakeholders in the ecosystem, including individuals, private sector companies, and governments, and notes they each have different and sometimes conflicting needs and interests. It argues a balanced ecosystem can be achieved by adopting an end-user centric approach that empowers individuals and aligns all stakeholders around common goals of trust, transparency and value creation.
An earlier Enterprise 2.0 presentation we gave about the opportunity of Enterprise 2.0 for Australia, it';s been updated with 2009 content, and 2010 slideshow.
Enterprise 2.0 and the underlying models are still an as yet unrealised communication opportunity for innovation.
A brief overview of social web trends that we can anticipate taking up increasing air-space over the next 12 months. Some trends (e.g. Big Data) have wider implications than 'social web' but are included for completeness.
The document discusses big data analytics and creating a big data-enabled organization. It begins with an introduction to big data, defining it and explaining its four V's: volume, variety, velocity, and veracity. It then discusses big data analytics, explaining that it involves more than just data and requires methods like machine learning. The document provides examples of big data analytics in various industries and development contexts. It concludes by outlining three steps to creating a big data-enabled organization: 1) be clear on the specific questions and needs big data can address, 2) build an integrated foundation of data, tools, and skills, and 3) establish a culture of experimentation and learning from failures.
Getting Started with Splunk Enterprise Hands-OnSplunk
The document provides an overview of Splunk Enterprise and how it can be used to analyze machine data. It discusses concepts like big data, machine data, and how Splunk allows users to index data from various sources and ask questions of that data through a simple interface. Specific commands are also shown that demonstrate searching tutorial machine data to extract fields, visualize results through charts, and save searches and dashboards.
Splunk provides software that allows users to search, monitor, and analyze machine-generated data. It collects data from websites, applications, servers, networks and other devices and stores large amounts of data. The software provides dashboards, reports and alerts to help users gain operational intelligence and insights. It is used by over 4,400 customers across many industries to solve IT and business challenges.
151111 BASE ELN 151112 CIO Big Data CollaborationDr. Bill Limond
The document discusses the role of CIOs and big data collaboration. It notes that big data is growing exponentially, with 2.5 quintillion bytes of data created every day from a variety of sources. Big data offers significant value if organizations can analyze it, with potential savings in healthcare, retail, and other sectors. However, big data requires collaboration both internally within organizations and externally with partners. The document provides examples of successful big data collaborations and argues that CIOs will continue playing an important role in facilitating information management and digital transformation through big data initiatives.
The document summarizes the emerging opportunities and challenges around personal data as a new asset class. It outlines how personal data is being generated at unprecedented scales from various sources. However, the current personal data ecosystem remains fragmented without common standards or principles. The summary identifies key stakeholders in the ecosystem, including individuals, private sector companies, and governments, and notes they each have different and sometimes conflicting needs and interests. It argues a balanced ecosystem can be achieved by adopting an end-user centric approach that empowers individuals and aligns all stakeholders around common goals of trust, transparency and value creation.
An earlier Enterprise 2.0 presentation we gave about the opportunity of Enterprise 2.0 for Australia, it';s been updated with 2009 content, and 2010 slideshow.
Enterprise 2.0 and the underlying models are still an as yet unrealised communication opportunity for innovation.
A brief overview of social web trends that we can anticipate taking up increasing air-space over the next 12 months. Some trends (e.g. Big Data) have wider implications than 'social web' but are included for completeness.
The document discusses big data analytics and creating a big data-enabled organization. It begins with an introduction to big data, defining it and explaining its four V's: volume, variety, velocity, and veracity. It then discusses big data analytics, explaining that it involves more than just data and requires methods like machine learning. The document provides examples of big data analytics in various industries and development contexts. It concludes by outlining three steps to creating a big data-enabled organization: 1) be clear on the specific questions and needs big data can address, 2) build an integrated foundation of data, tools, and skills, and 3) establish a culture of experimentation and learning from failures.
Smart Data Module 1 introduction to big and smart datacaniceconsulting
This document provides an overview of big and smart data. It defines big data as large volumes of structured, unstructured, and semi-structured data that is difficult to manage and process using traditional databases. It discusses how big data becomes smart data through analysis and insights. Examples of smart data applications are also provided across various industries like retail, healthcare, transportation and more. The document emphasizes that in order to start smart with data, companies need to review their existing data, ask the right questions, and form actionable insights rather than just conclusions.
The Challenge - and Opportunity - of 'Big Data'Serge Milman
The document summarizes research by the McKinsey Global Institute on the economic value of big data. It finds that big data is growing exponentially as more devices generate digital information and that big data has significant economic potential to increase productivity and competitiveness in both private businesses and public sectors. Specifically, the research estimates big data could create over $300 billion in annual value for the US healthcare system, increase retailers' operating margins by over 60%, and save European governments over €100 billion per year through operational efficiencies.
Raise of complementary currencies and the possiblities for the financial indu...Harrie Vollaard
The document discusses the rise of alternative currencies and their implications for the financial industry. It outlines several reasons for a shift towards alternative currencies, including changes within society and technology. It then describes different types of currencies that currently exist or may exist in the future, including corporate barter systems, loyalty programs, cryptocurrencies, and time-based currencies. The rest of the document discusses the advantages of barter networks, including unlocking unused business capacities and improving profits. It concludes that while these innovations show potential, challenges remain in developing sustainable business models for banks to adopt complementary currencies.
IABE Big Data information paper - An actuarial perspectiveMateusz Maj
We look closely on the insurance value chain and assess the impact of Big Data on underwriting, pricing and claims reserving. We examine the ethics of Big Data including data privacy, customer identification, data ownership and the legal aspects. We also discuss new frontiers for insurance and its impact on the actuarial profession. Will actuaries will be able to leverage Big Data, create sophisticated risk models and more personalized insurance offers, and bring new wave of innovation to the market?
This document discusses huge data and data mining. It defines huge data and notes that huge amounts of data are being created daily from sources like social media, sensors, and digital content. It discusses some key aspects of huge data including that it can be structured or unstructured, comes from decentralized sources, and has complexity in relationships within the data. The 3Vs of huge data are also defined as volume, variety, and velocity. The document states that data mining techniques can be used to extract useful insights from huge data by discovering patterns and relationships within large datasets.
This document provides a brief history of big data, from the earliest known uses of data storage thousands of years ago to modern applications of big data. It outlines key developments such as the creation of early data storage and analysis methods, the development of computerized data processing, and the growth of data collection and sharing through the internet and mobile technology. The document also discusses the increasing volume of data generated every day through online activities and defines some of the main challenges in working with big data today.
Tijdens de vierde sessie van de vierdelige reeks Master Minds on Data Science hield Eric van Tol een presentatie over businesscases en verdienmodellen.
The document discusses the growing complexity of information and the shortage of librarians to help manage it. It argues that while demand for information management is increasing exponentially, the supply of librarians is declining. This creates a problem where organizations need more library-like services than there are librarians to provide. The document proposes cloning librarians as a potential solution to address this imbalance between growing information needs and limited librarian resources.
Big data for the next generation of event companiesRaj Anand
Only on rare occasions do we consider the amount of data that our every action produces. It’s pretty overwhelming just to think about every interaction on every app on every device in our bag or pocket, in every environment and every location.
But then there’s more. We also use access cards, transportation passes and gym memberships. We have hobbies, we travel, buy groceries, books and maybe warm beverages on rainy days. We are part of multiple communities. Looking around billions of people are doing the same. Our every action produces data about us. This is big.
We believe taking an interest in this wealth of data will be the key to success for next generation Event Companies.
We are living in a fast changing world, where it’s ever more important to foresee trends and seize opportunities. A global perspective is not a strategic advantage anymore it is a necessity.
Event companies are facilitators , they create common grounds for brands and audiences, by thoughtfully connecting goals and means. Having a deep understanding of customer behaviour, group psychology, digital habits, brand interaction, communication, and awareness through unlocking the power of big data will ensure next generation event companies thrive on strategy.
Presentation by M. Kaltenböck of Semantic Web Company given at the Linked Open Data MeetUp Mannheim on 23 February 2014 on: Semantic Information Management using PoolParty 4 - explaining PoolParty Semantic Suite with features and applications and real world use cases...
10 trends to watch for 2014: Trends 6 to 10Tracey Keys
Last month, we started our coverage of the 10 Trends to Watch for 2014 by introducing the notion of a “Moore’s Law of Change.” In a world of accelerating and radical changes there will continue to be significant opportunities for leaders, organizations and individuals that approach change with an open mind, an informed point of view and a readiness to take action today to prepare for the future.
So where should leaders look today for these changes? In our forthcoming Global Trends Report 2014, The Fieldbook, we highlight 10 trends that business leaders need to focus on today. In this December 2013 briefing we highlight our last five trends for 2014 - trends 6 to 10.
How Robo Advisers, Fintech Are Revolutionising Wealth ManagementDinis Guarda
How Robo Advisers, Fintech Are Revolutionising Wealth Management. A Reflection and presentation about trends and ideas related with the topic and what is happening in the industry
Presentation given by Dr. Diego Kuonen, CStat PStat CSci, on November 20, 2013, at the "IBM Developer Days 2013" in Zurich, Switzerland.
ABSTRACT
There is no question that big data has hit the business, government and scientific sectors. The demand for skills in data science is unprecedented in sectors where value, competitiveness and efficiency are driven by data. However, there is plenty of misleading hype around the terms big data and data science. This presentation gives a professional statistician's view on these terms and illustrates the connection between data science and statistics.
The presentation is also available at http://www.statoo.com/BigDataDataScience/.
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Amit Sheth
Featured Keynote at Worldcomp'14, July 2014: http://www.world-academy-of-science.org/worldcomp14/ws/keynotes/keynote_sheth
Video of the talk at: http://youtu.be/2991W7OBLqU
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is human health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information, etc.). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will forward the concept of Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If I am an asthma patient, for all the data relevant to me with the four V-challenges, what I care about is simply, “How is my current health, and what is the risk of having an asthma attack in my personal situation, especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city. I will present examples from a couple of these.
Einstein published his ideas and became a pivotal element in shifting the way we think about physics - from the Newtonian model to the Quantum - in turn this changed the way we think about the world and allowed us to develop new ways of engaging with the world.
We are at a similar juncture. The development of computational technologies allows us to think about astronomical volumes of data and to make meaning of that data.
The mindshift that occurs is that “the machine is our friend”. The computer, like all machines, extends our capabilities. As a consequence the types of thinking now required in industry are those that get away from thinking like a computer and shift towards creative engagement with possibilities. Logical thinking is still necessary but it starts to be driven by imagination.
Computational thinking and data science change the way we think about defining and solving problems.
The age of creativity - which increasingly extends its impact from arts applications to business, scientific, technological, entrepreneurship, political, and other contexts.
Payment Week - Andrew Barnes, Managing Director___CashstarAndrew Barnes
This article discusses how Bluetooth Low Energy (BLE) technology could enable new contactless payment methods at retail stores. BLE allows smartphones to detect signals from antennas installed at stores. Partnerships between stores and payment companies like Apple or PayPal could allow customers to pay for in-store purchases by authorizing payments through mobile apps on their BLE-enabled phones without physical card interaction. The technology has potential benefits for customers, merchants, and payment providers in driving new payment and marketing ecosystems. However, payment networks may view it as a threat if it bypasses their existing models.
The document discusses how machine learning and natural language processing can be used to analyze large amounts of text data from sources like emails in order to identify patterns and predict future behaviors. It notes that while human language contains a lot of useful information, it is also messy and ambiguous. The document proposes using techniques like machine learning algorithms, statistical models, and human analysis of key risk indicators to help reduce noise and increase the meaningful signals that can be extracted from text data.
InfoFusion is an information access platform from OpenText that allows users to discover, analyze, and act on information from across an organization. It connects to different data sources, extracts metadata, and provides a unified search index. The roadmap outlines expanding connectors, search and analytics capabilities, and embeddable user interface components over the next three years. It aims to address issues like information silos, complex IT environments, and the need to access both structured and unstructured data.
Smart Data Module 1 introduction to big and smart datacaniceconsulting
This document provides an overview of big and smart data. It defines big data as large volumes of structured, unstructured, and semi-structured data that is difficult to manage and process using traditional databases. It discusses how big data becomes smart data through analysis and insights. Examples of smart data applications are also provided across various industries like retail, healthcare, transportation and more. The document emphasizes that in order to start smart with data, companies need to review their existing data, ask the right questions, and form actionable insights rather than just conclusions.
The Challenge - and Opportunity - of 'Big Data'Serge Milman
The document summarizes research by the McKinsey Global Institute on the economic value of big data. It finds that big data is growing exponentially as more devices generate digital information and that big data has significant economic potential to increase productivity and competitiveness in both private businesses and public sectors. Specifically, the research estimates big data could create over $300 billion in annual value for the US healthcare system, increase retailers' operating margins by over 60%, and save European governments over €100 billion per year through operational efficiencies.
Raise of complementary currencies and the possiblities for the financial indu...Harrie Vollaard
The document discusses the rise of alternative currencies and their implications for the financial industry. It outlines several reasons for a shift towards alternative currencies, including changes within society and technology. It then describes different types of currencies that currently exist or may exist in the future, including corporate barter systems, loyalty programs, cryptocurrencies, and time-based currencies. The rest of the document discusses the advantages of barter networks, including unlocking unused business capacities and improving profits. It concludes that while these innovations show potential, challenges remain in developing sustainable business models for banks to adopt complementary currencies.
IABE Big Data information paper - An actuarial perspectiveMateusz Maj
We look closely on the insurance value chain and assess the impact of Big Data on underwriting, pricing and claims reserving. We examine the ethics of Big Data including data privacy, customer identification, data ownership and the legal aspects. We also discuss new frontiers for insurance and its impact on the actuarial profession. Will actuaries will be able to leverage Big Data, create sophisticated risk models and more personalized insurance offers, and bring new wave of innovation to the market?
This document discusses huge data and data mining. It defines huge data and notes that huge amounts of data are being created daily from sources like social media, sensors, and digital content. It discusses some key aspects of huge data including that it can be structured or unstructured, comes from decentralized sources, and has complexity in relationships within the data. The 3Vs of huge data are also defined as volume, variety, and velocity. The document states that data mining techniques can be used to extract useful insights from huge data by discovering patterns and relationships within large datasets.
This document provides a brief history of big data, from the earliest known uses of data storage thousands of years ago to modern applications of big data. It outlines key developments such as the creation of early data storage and analysis methods, the development of computerized data processing, and the growth of data collection and sharing through the internet and mobile technology. The document also discusses the increasing volume of data generated every day through online activities and defines some of the main challenges in working with big data today.
Tijdens de vierde sessie van de vierdelige reeks Master Minds on Data Science hield Eric van Tol een presentatie over businesscases en verdienmodellen.
The document discusses the growing complexity of information and the shortage of librarians to help manage it. It argues that while demand for information management is increasing exponentially, the supply of librarians is declining. This creates a problem where organizations need more library-like services than there are librarians to provide. The document proposes cloning librarians as a potential solution to address this imbalance between growing information needs and limited librarian resources.
Big data for the next generation of event companiesRaj Anand
Only on rare occasions do we consider the amount of data that our every action produces. It’s pretty overwhelming just to think about every interaction on every app on every device in our bag or pocket, in every environment and every location.
But then there’s more. We also use access cards, transportation passes and gym memberships. We have hobbies, we travel, buy groceries, books and maybe warm beverages on rainy days. We are part of multiple communities. Looking around billions of people are doing the same. Our every action produces data about us. This is big.
We believe taking an interest in this wealth of data will be the key to success for next generation Event Companies.
We are living in a fast changing world, where it’s ever more important to foresee trends and seize opportunities. A global perspective is not a strategic advantage anymore it is a necessity.
Event companies are facilitators , they create common grounds for brands and audiences, by thoughtfully connecting goals and means. Having a deep understanding of customer behaviour, group psychology, digital habits, brand interaction, communication, and awareness through unlocking the power of big data will ensure next generation event companies thrive on strategy.
Presentation by M. Kaltenböck of Semantic Web Company given at the Linked Open Data MeetUp Mannheim on 23 February 2014 on: Semantic Information Management using PoolParty 4 - explaining PoolParty Semantic Suite with features and applications and real world use cases...
10 trends to watch for 2014: Trends 6 to 10Tracey Keys
Last month, we started our coverage of the 10 Trends to Watch for 2014 by introducing the notion of a “Moore’s Law of Change.” In a world of accelerating and radical changes there will continue to be significant opportunities for leaders, organizations and individuals that approach change with an open mind, an informed point of view and a readiness to take action today to prepare for the future.
So where should leaders look today for these changes? In our forthcoming Global Trends Report 2014, The Fieldbook, we highlight 10 trends that business leaders need to focus on today. In this December 2013 briefing we highlight our last five trends for 2014 - trends 6 to 10.
How Robo Advisers, Fintech Are Revolutionising Wealth ManagementDinis Guarda
How Robo Advisers, Fintech Are Revolutionising Wealth Management. A Reflection and presentation about trends and ideas related with the topic and what is happening in the industry
Presentation given by Dr. Diego Kuonen, CStat PStat CSci, on November 20, 2013, at the "IBM Developer Days 2013" in Zurich, Switzerland.
ABSTRACT
There is no question that big data has hit the business, government and scientific sectors. The demand for skills in data science is unprecedented in sectors where value, competitiveness and efficiency are driven by data. However, there is plenty of misleading hype around the terms big data and data science. This presentation gives a professional statistician's view on these terms and illustrates the connection between data science and statistics.
The presentation is also available at http://www.statoo.com/BigDataDataScience/.
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Amit Sheth
Featured Keynote at Worldcomp'14, July 2014: http://www.world-academy-of-science.org/worldcomp14/ws/keynotes/keynote_sheth
Video of the talk at: http://youtu.be/2991W7OBLqU
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is human health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information, etc.). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will forward the concept of Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If I am an asthma patient, for all the data relevant to me with the four V-challenges, what I care about is simply, “How is my current health, and what is the risk of having an asthma attack in my personal situation, especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city. I will present examples from a couple of these.
Einstein published his ideas and became a pivotal element in shifting the way we think about physics - from the Newtonian model to the Quantum - in turn this changed the way we think about the world and allowed us to develop new ways of engaging with the world.
We are at a similar juncture. The development of computational technologies allows us to think about astronomical volumes of data and to make meaning of that data.
The mindshift that occurs is that “the machine is our friend”. The computer, like all machines, extends our capabilities. As a consequence the types of thinking now required in industry are those that get away from thinking like a computer and shift towards creative engagement with possibilities. Logical thinking is still necessary but it starts to be driven by imagination.
Computational thinking and data science change the way we think about defining and solving problems.
The age of creativity - which increasingly extends its impact from arts applications to business, scientific, technological, entrepreneurship, political, and other contexts.
Payment Week - Andrew Barnes, Managing Director___CashstarAndrew Barnes
This article discusses how Bluetooth Low Energy (BLE) technology could enable new contactless payment methods at retail stores. BLE allows smartphones to detect signals from antennas installed at stores. Partnerships between stores and payment companies like Apple or PayPal could allow customers to pay for in-store purchases by authorizing payments through mobile apps on their BLE-enabled phones without physical card interaction. The technology has potential benefits for customers, merchants, and payment providers in driving new payment and marketing ecosystems. However, payment networks may view it as a threat if it bypasses their existing models.
The document discusses how machine learning and natural language processing can be used to analyze large amounts of text data from sources like emails in order to identify patterns and predict future behaviors. It notes that while human language contains a lot of useful information, it is also messy and ambiguous. The document proposes using techniques like machine learning algorithms, statistical models, and human analysis of key risk indicators to help reduce noise and increase the meaningful signals that can be extracted from text data.
InfoFusion is an information access platform from OpenText that allows users to discover, analyze, and act on information from across an organization. It connects to different data sources, extracts metadata, and provides a unified search index. The roadmap outlines expanding connectors, search and analytics capabilities, and embeddable user interface components over the next three years. It aims to address issues like information silos, complex IT environments, and the need to access both structured and unstructured data.
The document discusses layered semantics, an approach to semantic analysis that involves analyzing text at different levels of meaning. At the shallowest level, concepts, entities, facts and sentiment are extracted. Deeper levels involve analyzing relationships between concepts and using tools like extraction, indexing, and exploration interfaces to analyze documents. The approach is useful for tasks like medical record analysis, where different users may need different layers of information.
The document discusses various topics including content analytics, unstructured content, business insights, medical treatments for diabetes, smartphone users, and warranty claims reports. It also mentions that content analytics can provide answers to important questions by delivering insights from unstructured content and adds value for businesses. Digital information is becoming more widespread and linked together.
This document discusses content analytics and how it can unlock value from unstructured content through semantic technologies. It provides benefits to both content producers by creating findable, reusable and enriched content, and content consumers by discovering business insights across information. The document also outlines 5 steps to get started with content analytics.
The document discusses how semantic navigation can help improve search experiences on websites. It notes that search engines often struggle with vague keywords and must balance precision and recall. Semantic data can help drive site navigation, identify entities to use as search facets, smooth differences in categories and tags, and understand user context. Using semantic navigation can improve SEO, time spent on sites, and conversion rates. It provides an example of one company that saw a 22% increase in search usage, 25% more time spent, and greater drilling down after implementing semantic navigation technologies.
Brandon Banks, a rookie returner for the Washington Redskins, underwent knee surgery during the team's bye week and is expected to be sidelined for two weeks. Banks, who had been among the NFL leaders in kickoff and punt returns, had the procedure last week with no complications. As an undrafted rookie free agent, Banks had performed well in the first half of the season for the Redskins' return units.
How to Implement a Real Estate CRM SoftwareSalesTown
To implement a CRM for real estate, set clear goals, choose a CRM with key real estate features, and customize it to your needs. Migrate your data, train your team, and use automation to save time. Monitor performance, ensure data security, and use the CRM to enhance marketing. Regularly check its effectiveness to improve your business.
Digital Marketing with a Focus on Sustainabilitysssourabhsharma
Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
Structural Design Process: Step-by-Step Guide for BuildingsChandresh Chudasama
The structural design process is explained: Follow our step-by-step guide to understand building design intricacies and ensure structural integrity. Learn how to build wonderful buildings with the help of our detailed information. Learn how to create structures with durability and reliability and also gain insights on ways of managing structures.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
The APCO Geopolitical Radar - Q3 2024 The Global Operating Environment for Bu...APCO
The Radar reflects input from APCO’s teams located around the world. It distils a host of interconnected events and trends into insights to inform operational and strategic decisions. Issues covered in this edition include:
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdfthesiliconleaders
In the recent edition, The 10 Most Influential Leaders Guiding Corporate Evolution, 2024, The Silicon Leaders magazine gladly features Dejan Štancer, President of the Global Chamber of Business Leaders (GCBL), along with other leaders.
The Genesis of BriansClub.cm Famous Dark WEb PlatformSabaaSudozai
BriansClub.cm, a famous platform on the dark web, has become one of the most infamous carding marketplaces, specializing in the sale of stolen credit card data.
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How MJ Global Leads the Packaging Industry.pdfMJ Global
MJ Global's success in staying ahead of the curve in the packaging industry is a testament to its dedication to innovation, sustainability, and customer-centricity. By embracing technological advancements, leading in eco-friendly solutions, collaborating with industry leaders, and adapting to evolving consumer preferences, MJ Global continues to set new standards in the packaging sector.
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
rankings in rapid time despite having health concerns and limited
color choices.”
2. How to effectively leverage analytics
in your organization?
Stock your bar with data & tools.
Get awesome bartenders.
Demand great cocktails.
Mix it up based on context.
3. 90% of the world’s data
was generated over the last
2 years…
11. A data product is …
• Curated and crafted from raw data
• Meshed together from disparate sources, some with
structured and some with unstructured data
• A result of exploration and iterations
• Answers known unknowns, or unknown unknowns
• Triggers immediate business value
• A probabilistic window of future events or behavior
14. Key Risk Indicator (KRI) is a management
measure used to detect an adverse impact or
prevent the possibility of future adverse impact.
Expressed as a data product.
15. Compliance risk is the current and prospective risk
to earnings or capital arising from violations of, or
nonconformance with, laws, rules, regulations,
prescribed practices, internal policies, and procedures,
or ethical standards. This risk exposes the institution to
diminished reputation, fines, civil money penalties,
payment of damages, and the voiding of contracts.
16. In early September 2011, the Swiss bank UBS announced that it had lost over 2 billion dollars,
as a result of unauthorized trading performed by Kweku Adoboli, a director of the bank's Global
Synthetic Equities Trading team in London.
In April and May 2012 large trading losses occurred at JPMorgan's Chief Investment Office,
based on transactions booked through its London branch. Trader Bruno Iksil, nicknamed the
London Whale, accumulated unauthorized outsized CDS positions in the market. The original
estimated trading loss of $2 billion was announced, with the final actual loss expected to be
substantially larger.
HSBC Holdings Plc agreed to pay a record $1.92 billion in fines to U.S. authorities for allowing
itself to be used to launder a river of drug money flowing out of Mexico and other banking
lapses.
is the world’s most heavily regulated industry
In January 2008, the bank Société Générale lost approximately €4.9 billion closing out positions
over three days of trading beginning January 21, 2008, The bank states these positions were
fraudulent transactions created by Jérôme Kerviel, a trader with the company.
After analyzing post-loss & causal factors, they all had a good chance of
being prevented or detected if Key Risk Indicators (KRIs) had provided
information that could be aggregated, analyzed, and escalated.
16
DIGITAL REASONING | CONFIDENTIAL
20. With access to the right data product – We can
build an “Holistic view” of a Trader’s risk profile
21. Human risks are hard to predict:
Even the best designed risk controls are subject
to the failings of people’s experience, attitude,
mindset and values.
23. Human language is a rich data source that
enables data scientists to study people’s past
behavior or predict future behavior.
24. Human language is dirty data.
Different languages.
Full of ambiguity.
Large amounts of it, and very noisy.
Difficult to count things.
25. "You shall know a word
by the company it keeps."
- J. R. Firth, English linguist
26. Making human language tractable:
Resolving entities, facts & relationships In time and space
*09/26/201
3
*Social
Interaction
*09/26/201
3
26
27. Transforming data into knowledge
26
Sept
VZ
(*Verizon?
)
Tom
Watson
Social
Interaction
UBS
+44-20-7567-8000
*Social
Hans
Interaction
Gruber
1 Finsbury Avenue
London, UK EC2M 2PP
hans.gruber@uk.ubs
.com
Kurt Dyson
kdyson@richardson
30. Combining data from multiple sources
– Trade Surveillance
On September 29, UBS trader Hans Gruber executes a
short on 100K shares of AAPL shares for Kurt Dyson, a
high profile buy side client of the firm.
On Oct. 7, Apple announces disappointing iPhone6
sales resulting in a 10% share price drop and a windfall
profit for Kurt Dyson based on the Gruber’s short order.
31. Data Cocktail – Holistic View of Hans Gruber
26
Sept
VZ
Verizon
(*Verizo
n?)
Tom
Watson
Social
Interaction
UBS
+44-20-7567-8000
Hans
Gruber
1 Finsbury Avenue
London, UK EC2M 2PP
hans.gruber@uk.ubs
.com
Kurt Dyson
kdyson@richardson
31
33. Example: KRI for Human Language
“Legal Entity” on restricted trading list occurring
in electronic communications
+
Legal Entity occurring in the context of “deal
related” language
+
Communication “outside” company firewall
"Knowledge is a process of piling up facts; wisdom lies in their simplification." --Martin Fischer
A Key Risk Indicator, also known as a KRI, is a measure used in management to indicatehow: risky an activity is to detect an adverse impact or prevent the possibility of future adverse impact
So how serious of a problem has this become for the commercial sector? Let’s take a look at some recent cases involving top tier financial institutions.In September 2011, the Swiss bank UBS announced that it had lost over 2 billion dollars, as a result of unauthorized trading.In this case the trader was actually talking about the unauthorized trading in e-mail, specifically he was using the terms “umbrella” and “slush funds” in communication with colleagues.There was also a chat transcript in which a trade support analyst told Adoboli to cancel and rebook a trade to change the settlement date. The trade support analyst must have known it was a fake trade since If it were a genuine transaction, you couldn’t rebook and just move the settlement date. In April and May 2012 large trading losses occurred at JPMorgan's Chief Investment Office, based on transactions booked through its London branch. This is the famous case, nicknamed the London Whale, where a rogue trader had accumulated unauthorized outsized positions in the market.Again there were e-mails with damaging information, JPMorgan traders reportedly called regulators from the Office of the Comptroller of the Currency "stupid," and other traders fretted in an email that "we are going to crash.”At one point Iksilemailed a senior trader advising against increasing the bet, as the size of the trades were becoming “scary”. Advised take the “full pain” now. HSBC Holdings Plc agreed to pay a record $1.92 billion in fines to U.S. authorities for allowing itself to be used to launder a river of drug money flowing out of Mexico and other banking lapses.HSBC conceded that its anti-money laundering measures were inadequate and that it has taken big steps in beefing up its controls. In return for being spared prosecution, HSBC said it would continue to strengthen its compliance policies and procedures. a Senate investigation concluded that HSBC’s lax controls exposed it to money laundering and terrorist financing. In December 2, 2001, Enron filed for Chapter 11 Bankruptcy, with $63.4 billion in assets it was the largest corporate bankruptcy in U.S. history. Enron’s downfall was a result of its complex financial statements and complex business model. "the primary motivations for Enron's accounting and financial transactions seem to have been to keep reported income and reported cash flow up, asset values inflated, and liabilities off the books.” A lot of these complex financial dealings were discussed to some extent in e-mail(BILL, YOU NEED TO SPEAK TO HOW THIS RELATES TO THIS AUDIENCE – THE GOVT. I SUGGEST YOU SPEAK TO THIS ON THIS SLIDE OR ADD ANOTHER ONE.)
Copyright Deloitte 2012.
Copyright Deloitte 2012.
Copyright Deloitte 2012.
Copyright Deloitte 2012.
Machines can help data scientists. Predict meaning of words and phrases based on context.