This document discusses big data and strategic alliances. It begins with an introduction to big data and notes that big data has become a major topic at both government and business levels. It then outlines the three V's (volume, velocity, variety) that characterize big data. Several drivers of big data's exponential growth are mentioned, including social media, smart sensors, wireless networks, cloud computing, and mobile apps. The document argues that while big data volumes are large, the real revolution comes from disruptive forces across technologies. It notes that strategic alliances will be needed to integrate capabilities across groups like wireless, cloud, databases, and social/sensors. The document advocates focusing alliances on addressing capability gaps and outlines different alliance models.
Direct and indirect beneficiaries of innovations relating to the Big Data phenomenon, the media must develop new standards and processes to capture the full potential of data. Hugues Rey will explain to us how the media agencies can play a role in this process and what developments are in progress. Didier Joos will show us how media-related data can be processed to enable advertisers and producers of content to derive maximum value from it.
Mark van Rijmenam, global big data influencer and keynote speaker, gave the opening keynote for Seamless Dubai 2016. His keynote provided insights how organisations can win customers for life with predictive analytics.
Big data Keynote Africa's Payment Banking Retail Show 2015Mark van Rijmenam
Big Data International Keynote Speaker Mark van Rijmenam shared his vision during Africa's Payment, Banking and Retail show 2015 on how to drive the next wave of mass customization with Big Data. He talked about customer experience, mixed data and the mobile revolution.
The document discusses three big trends in big data: 1) Empowerment through data, where organizations use internal and external data to gain insights and make better decisions. 2) The distributed web, where blockchain technology is used to decentralize systems like elections and identity management. 3) The rise of algorithms, as artificial intelligence algorithms outperform humans at games like Go and are used by companies to automate tasks like writing and customer service. It argues that while big data was overhyped, these trends show data's ongoing impact in empowering people and businesses through insights and automation.
Which technology trends will create the Year of Transition? Here are the top 7 technology trends for 2018 that will affect organisations and governments.
7 Rules for Surviving the AI Hype MachineAllen Bonde
AI is super-exciting. Especially the field of machine learning (and sub-field of "deep learning" - an area I've studied for over 25 years). AI and ML offer to revolutionize the way we monitor, and model, and generate answers from all the big and small data that is swirling around of us. But it’s not going to happen overnight. Especially since many organizations still struggle with the best ways to select, apply and monetize AI for practical, everyday use. This presentation aims to cut through the hype and lays out 7 rules for AI project sponsors, managers and practitioners alike - each supported by examples and resources to learn more, as well as key influencers and vendors worth checking out.
This document discusses big data and strategic alliances. It begins with an introduction to big data and notes that big data has become a major topic at both government and business levels. It then outlines the three V's (volume, velocity, variety) that characterize big data. Several drivers of big data's exponential growth are mentioned, including social media, smart sensors, wireless networks, cloud computing, and mobile apps. The document argues that while big data volumes are large, the real revolution comes from disruptive forces across technologies. It notes that strategic alliances will be needed to integrate capabilities across groups like wireless, cloud, databases, and social/sensors. The document advocates focusing alliances on addressing capability gaps and outlines different alliance models.
Direct and indirect beneficiaries of innovations relating to the Big Data phenomenon, the media must develop new standards and processes to capture the full potential of data. Hugues Rey will explain to us how the media agencies can play a role in this process and what developments are in progress. Didier Joos will show us how media-related data can be processed to enable advertisers and producers of content to derive maximum value from it.
Mark van Rijmenam, global big data influencer and keynote speaker, gave the opening keynote for Seamless Dubai 2016. His keynote provided insights how organisations can win customers for life with predictive analytics.
Big data Keynote Africa's Payment Banking Retail Show 2015Mark van Rijmenam
Big Data International Keynote Speaker Mark van Rijmenam shared his vision during Africa's Payment, Banking and Retail show 2015 on how to drive the next wave of mass customization with Big Data. He talked about customer experience, mixed data and the mobile revolution.
The document discusses three big trends in big data: 1) Empowerment through data, where organizations use internal and external data to gain insights and make better decisions. 2) The distributed web, where blockchain technology is used to decentralize systems like elections and identity management. 3) The rise of algorithms, as artificial intelligence algorithms outperform humans at games like Go and are used by companies to automate tasks like writing and customer service. It argues that while big data was overhyped, these trends show data's ongoing impact in empowering people and businesses through insights and automation.
Which technology trends will create the Year of Transition? Here are the top 7 technology trends for 2018 that will affect organisations and governments.
7 Rules for Surviving the AI Hype MachineAllen Bonde
AI is super-exciting. Especially the field of machine learning (and sub-field of "deep learning" - an area I've studied for over 25 years). AI and ML offer to revolutionize the way we monitor, and model, and generate answers from all the big and small data that is swirling around of us. But it’s not going to happen overnight. Especially since many organizations still struggle with the best ways to select, apply and monetize AI for practical, everyday use. This presentation aims to cut through the hype and lays out 7 rules for AI project sponsors, managers and practitioners alike - each supported by examples and resources to learn more, as well as key influencers and vendors worth checking out.
Dès aujourd'hui une distribution plus humaine, plus connectée et rythmée par ...Microsoft Ideas
> Mieux connaitre son consommateur, c'est optimiser et accroître ses ventes > Développer des applications quelque soit le support utilisé, c'est gagner du temps et améliorer la relation client > Moderniser son poste de travail, c'est collaborer activement à la pérennité de l'entreprise et impliquer les employés Ces 3 grands enjeux sont à prendre en compte dans la transformation du monde de la distribution. Nous les aborderons le challengerons au travers de retours d'expérieces clients.
Marketers are gaining more control over data and technology as marketing becomes increasingly driven by data and analytics. While CIOs traditionally controlled corporate IT spending, CMOs will surpass CIOs in IT spending by 2017 as data and technology allow marketers to better target and measure advertising. However, marketers must ensure they utilize global data and not just digital or American data to truly capitalize on opportunities in data-driven marketing.
Small Data: a Brief History and a New Design PhilosophyAllen Bonde
The document discusses small data and its role in designing effective applications. It defines small data as the digital data people generate through daily activities and insights derived from big data sources. The document outlines a new design philosophy for small data apps, including making them simple, smart, responsive, and social. It provides an example use case of a redesigned mobile real estate app for agents that leverages small data to inform users, connect them to others, and motivate actions. Key learnings are to design for the task goal, examine influence points in user journeys, and deliver data-driven experiences.
This document discusses trends in business intelligence and analytics. It notes that the amount of digital data created annually is growing 40-60% per year. By 2019, the business intelligence and analytics market is projected to reach $23 billion. While most companies want to make decisions based on data, only 37% report being successful at it. The document advocates for empowering users with self-service business intelligence tools that automate processes and provide real-time insights. It also predicts that by 2020, natural language and artificial intelligence will be standard features in modern business intelligence platforms.
This document discusses how social data can be leveraged for customer insights. It introduces three speakers - Jay Krall, Jason Kapler, and Tom Teicholz - who will discuss using social data to inform marketing decisions. Social data provides real-time insights into customer preferences and can help organizations deliver better experiences. The data grows constantly and provides an unbiased, contextual layer to understand customers. Social data is revolutionizing marketing by informing strategy, activation, and measurement across the entire customer lifecycle.
This document provides an overview of a course on data warehousing, decision support, and data mining. It discusses data warehousing architectures and how data is extracted, transformed, and loaded from various sources into the data warehouse. It also covers operational vs analytical systems and challenges with data quality and integration when loading the warehouse. Examples from Walmart's data warehouse implementation are provided.
This document outlines 6 data-driven leadership trends for 2016 as predicted by IBM THINK Leaders. The trends are:
1) Data-powered personalization, using customer data to personalize experiences.
2) "Big empathy" using big data and AI to make more compassionate, emotionally intelligent decisions.
3) A data-driven culture where data and analytics influence all executive and organizational decisions.
4) Prioritizing "survival of the fittest data" that provides real competitive advantages and business value.
5) "Hyper-relevancy" using location data to immediately connect consumers with relevant information and offers.
6) Integrating "data by design" thinking to
Fighting Fraud and Cyber Crime: WTF ... "Where's the Fraud"Vivastream
The document discusses obstacles to collaboration between law enforcement and industry in fighting cybercrime and fraud, and proposes solutions to overcome these obstacles. It outlines how the National Cyber-Forensic Training Alliance (NCFTA) has helped facilitate collaboration by serving as a neutral third party where intelligence can be shared and cases developed jointly. Some key inhibitors to collaboration discussed include different views of the scope of the problem between industry and law enforcement, concerns about what information can be shared and with whom, and a lack of understanding of each other's resources and context. The NCFTA model aims to address these by focusing on cross-sector intelligence sharing and resource pooling between industry and law enforcement.
Big data and personalization struggles in banking 092018Intelli-Global
This document discusses challenges that banks face in utilizing big data and personalization. It notes that while usable data and advanced analytics could unlock 40% of revenues in marketing and sales, 94% of US banks cannot deliver personalized experiences due to issues like insufficient data, poor data quality, and lack of technology. Specifically, banks struggle because infrastructure projects consume resources, marketing budgets are strained, and internal expertise is unavailable. The document recommends that banks prioritize personalization, employ a third party with combined data and marketing expertise, deploy a integrated personalization strategy across channels, test it in a pilot region with different customer demographics, and assess results after the pilot.
Data Con LA 2018 Keynote - Keynote deck by Justin HerzData Con LA
The document discusses Warner Bros.' investment in a scaled data and technology stack to better understand its customers across its businesses, including theatrical, television, games, and licensing. It has deployed various data science solutions across the studio for tasks like visual mastering, pricing optimization, audience targeting, forecasting, and autonomous vehicle research. However, the document notes that achieving human adoption of data science solutions is challenging due to issues like inertia, a lack of explainability, and fears of automation. It provides recommendations for easing adoption, such as using visualization, improving interpretability, embedding data scientists in business units, and reinforcing the goals of AI to be helpful rather than replace humans.
Top 5 Ideas for Small to Medium Size Businesses to Radically Reduce their IT ...BDO IT Solutions
Let us save you 5k on a Gartner subscription and tell you exactly what you need to do in order to stay nimble and reduce your IT costs in 2016.
Daryl Senick
BDO Canada LLP
BDO Connections 2016 | Breakout Session
Trendcasting for 2019 - What Will the Tuture of Tech HoldBrian Pichman
Join Brian Pichman of the Evolve Project as he highlights this year’s most significant technology trends and what it means for 2019. What changes are on the horizon? What technologies falling to the wayside? What technologies are on the verge of significant changes? What technologies should we expect to see flourish in the upcoming year?
Dan Dal Degan is the VP of Marketing Cloud at Salesforce. Social media has changed marketing forever by making it engaging, transparent, targeted, and in real-time. Salesforce is a global leader in enterprise cloud computing with over $3 billion in revenue and 37% annual growth. As technology advances through social, mobile, local, and cloud revolutions, companies must become "customer companies" by connecting with customers in new ways across all channels.
Data Con LA 2018 Keynote - Visual Data by Ken WeinerData Con LA
This document discusses visual data and image recognition technology. It provides examples of how images and video are ubiquitous online through social media, VR/AR, and cameras/sensors. It then explains how images are encoded with pixels and values, and how deep learning can be used to detect localized objects within images through labeled training data and neural networks. The document discusses ways to obtain visual data through public datasets, crowdsourcing, and generating synthetic data. It gives an overview of GumGum's applications of visual data and image recognition in advertising, social media analysis, sports valuation, and dental x-ray analysis. It encourages joining their team in computer vision, data science, and engineering roles.
Slide deck presenting objectives of Big Data Working group of Institute of Actuaries in Belgium.
The goal of the group is to discuss:
- Impact of Big Data on insurance sector and the
actuarial profession;
- Present challenges and good practices when working
with Big Data;
- Educate actuarial profession about Big Data.
Contact me at mat@motosmarty.com
This presentation is an exploration of what Information Technology will look like in 2021. We have spread our predictions across three categories: IT Trends, IT Practice and Impacts on Everyday Life.
SpringOne Platform 2019
Title: The Leadership Bottleneck
Speakers: Michael Coté, Director, Pivotal; Rick Clark, Field CTO, EMEA, Pivotal
Youtube: https://youtu.be/QZL-fPb-W7Q
Digital transformation in the solar energy industry allows companies to solve traditional problems using new digital technologies, enabling real-time analysis, improved decision making, and easier access and sharing of information. This helps identify cross-selling opportunities, integrate planning processes, and provide key performance metrics. However, digital transformation also presents challenges around managing large amounts of structured and unstructured data from solar farms, lease owners, and assessing remaining solar potential across regions. New artificial intelligence technologies aim to help users better understand this challenging information and be more insightful and creative.
Creative destruction versus Creative EvangelisationDinis Guarda
The document discusses the concepts of creative destruction and creative evangelization in the digital age. Creative destruction refers to the process of innovation replacing outdated products and processes, while creative evangelization involves using digital tools to spread information and potentially convert others to new beliefs. The author argues that in today's world of big data and algorithms, creativity may be humanity's means of thriving amid increased complexity, randomness, and "black swan" events. Leaders must learn to effectively manage and create intelligence from vast amounts of integrated data in order to connect emotionally with networks and evangelize creatively.
Haiku Deck is a presentation platform that allows users to create Haiku-style slideshows. The document encourages the reader to get started creating their own Haiku Deck presentation on SlideShare by providing a link to do so. It aims to inspire the reader to try out Haiku Deck's unique presentation style.
Joel Livingston has over 15 years of experience in various roles including business systems consultant, contractor, scanning specialist, media specialist, and assistant manager. He is currently pursuing a Bachelor's degree in Human and Child Development from Arizona State University. His objective is to be a high-value team member who can improve processes and complete tasks efficiently.
Dès aujourd'hui une distribution plus humaine, plus connectée et rythmée par ...Microsoft Ideas
> Mieux connaitre son consommateur, c'est optimiser et accroître ses ventes > Développer des applications quelque soit le support utilisé, c'est gagner du temps et améliorer la relation client > Moderniser son poste de travail, c'est collaborer activement à la pérennité de l'entreprise et impliquer les employés Ces 3 grands enjeux sont à prendre en compte dans la transformation du monde de la distribution. Nous les aborderons le challengerons au travers de retours d'expérieces clients.
Marketers are gaining more control over data and technology as marketing becomes increasingly driven by data and analytics. While CIOs traditionally controlled corporate IT spending, CMOs will surpass CIOs in IT spending by 2017 as data and technology allow marketers to better target and measure advertising. However, marketers must ensure they utilize global data and not just digital or American data to truly capitalize on opportunities in data-driven marketing.
Small Data: a Brief History and a New Design PhilosophyAllen Bonde
The document discusses small data and its role in designing effective applications. It defines small data as the digital data people generate through daily activities and insights derived from big data sources. The document outlines a new design philosophy for small data apps, including making them simple, smart, responsive, and social. It provides an example use case of a redesigned mobile real estate app for agents that leverages small data to inform users, connect them to others, and motivate actions. Key learnings are to design for the task goal, examine influence points in user journeys, and deliver data-driven experiences.
This document discusses trends in business intelligence and analytics. It notes that the amount of digital data created annually is growing 40-60% per year. By 2019, the business intelligence and analytics market is projected to reach $23 billion. While most companies want to make decisions based on data, only 37% report being successful at it. The document advocates for empowering users with self-service business intelligence tools that automate processes and provide real-time insights. It also predicts that by 2020, natural language and artificial intelligence will be standard features in modern business intelligence platforms.
This document discusses how social data can be leveraged for customer insights. It introduces three speakers - Jay Krall, Jason Kapler, and Tom Teicholz - who will discuss using social data to inform marketing decisions. Social data provides real-time insights into customer preferences and can help organizations deliver better experiences. The data grows constantly and provides an unbiased, contextual layer to understand customers. Social data is revolutionizing marketing by informing strategy, activation, and measurement across the entire customer lifecycle.
This document provides an overview of a course on data warehousing, decision support, and data mining. It discusses data warehousing architectures and how data is extracted, transformed, and loaded from various sources into the data warehouse. It also covers operational vs analytical systems and challenges with data quality and integration when loading the warehouse. Examples from Walmart's data warehouse implementation are provided.
This document outlines 6 data-driven leadership trends for 2016 as predicted by IBM THINK Leaders. The trends are:
1) Data-powered personalization, using customer data to personalize experiences.
2) "Big empathy" using big data and AI to make more compassionate, emotionally intelligent decisions.
3) A data-driven culture where data and analytics influence all executive and organizational decisions.
4) Prioritizing "survival of the fittest data" that provides real competitive advantages and business value.
5) "Hyper-relevancy" using location data to immediately connect consumers with relevant information and offers.
6) Integrating "data by design" thinking to
Fighting Fraud and Cyber Crime: WTF ... "Where's the Fraud"Vivastream
The document discusses obstacles to collaboration between law enforcement and industry in fighting cybercrime and fraud, and proposes solutions to overcome these obstacles. It outlines how the National Cyber-Forensic Training Alliance (NCFTA) has helped facilitate collaboration by serving as a neutral third party where intelligence can be shared and cases developed jointly. Some key inhibitors to collaboration discussed include different views of the scope of the problem between industry and law enforcement, concerns about what information can be shared and with whom, and a lack of understanding of each other's resources and context. The NCFTA model aims to address these by focusing on cross-sector intelligence sharing and resource pooling between industry and law enforcement.
Big data and personalization struggles in banking 092018Intelli-Global
This document discusses challenges that banks face in utilizing big data and personalization. It notes that while usable data and advanced analytics could unlock 40% of revenues in marketing and sales, 94% of US banks cannot deliver personalized experiences due to issues like insufficient data, poor data quality, and lack of technology. Specifically, banks struggle because infrastructure projects consume resources, marketing budgets are strained, and internal expertise is unavailable. The document recommends that banks prioritize personalization, employ a third party with combined data and marketing expertise, deploy a integrated personalization strategy across channels, test it in a pilot region with different customer demographics, and assess results after the pilot.
Data Con LA 2018 Keynote - Keynote deck by Justin HerzData Con LA
The document discusses Warner Bros.' investment in a scaled data and technology stack to better understand its customers across its businesses, including theatrical, television, games, and licensing. It has deployed various data science solutions across the studio for tasks like visual mastering, pricing optimization, audience targeting, forecasting, and autonomous vehicle research. However, the document notes that achieving human adoption of data science solutions is challenging due to issues like inertia, a lack of explainability, and fears of automation. It provides recommendations for easing adoption, such as using visualization, improving interpretability, embedding data scientists in business units, and reinforcing the goals of AI to be helpful rather than replace humans.
Top 5 Ideas for Small to Medium Size Businesses to Radically Reduce their IT ...BDO IT Solutions
Let us save you 5k on a Gartner subscription and tell you exactly what you need to do in order to stay nimble and reduce your IT costs in 2016.
Daryl Senick
BDO Canada LLP
BDO Connections 2016 | Breakout Session
Trendcasting for 2019 - What Will the Tuture of Tech HoldBrian Pichman
Join Brian Pichman of the Evolve Project as he highlights this year’s most significant technology trends and what it means for 2019. What changes are on the horizon? What technologies falling to the wayside? What technologies are on the verge of significant changes? What technologies should we expect to see flourish in the upcoming year?
Dan Dal Degan is the VP of Marketing Cloud at Salesforce. Social media has changed marketing forever by making it engaging, transparent, targeted, and in real-time. Salesforce is a global leader in enterprise cloud computing with over $3 billion in revenue and 37% annual growth. As technology advances through social, mobile, local, and cloud revolutions, companies must become "customer companies" by connecting with customers in new ways across all channels.
Data Con LA 2018 Keynote - Visual Data by Ken WeinerData Con LA
This document discusses visual data and image recognition technology. It provides examples of how images and video are ubiquitous online through social media, VR/AR, and cameras/sensors. It then explains how images are encoded with pixels and values, and how deep learning can be used to detect localized objects within images through labeled training data and neural networks. The document discusses ways to obtain visual data through public datasets, crowdsourcing, and generating synthetic data. It gives an overview of GumGum's applications of visual data and image recognition in advertising, social media analysis, sports valuation, and dental x-ray analysis. It encourages joining their team in computer vision, data science, and engineering roles.
Slide deck presenting objectives of Big Data Working group of Institute of Actuaries in Belgium.
The goal of the group is to discuss:
- Impact of Big Data on insurance sector and the
actuarial profession;
- Present challenges and good practices when working
with Big Data;
- Educate actuarial profession about Big Data.
Contact me at mat@motosmarty.com
This presentation is an exploration of what Information Technology will look like in 2021. We have spread our predictions across three categories: IT Trends, IT Practice and Impacts on Everyday Life.
SpringOne Platform 2019
Title: The Leadership Bottleneck
Speakers: Michael Coté, Director, Pivotal; Rick Clark, Field CTO, EMEA, Pivotal
Youtube: https://youtu.be/QZL-fPb-W7Q
Digital transformation in the solar energy industry allows companies to solve traditional problems using new digital technologies, enabling real-time analysis, improved decision making, and easier access and sharing of information. This helps identify cross-selling opportunities, integrate planning processes, and provide key performance metrics. However, digital transformation also presents challenges around managing large amounts of structured and unstructured data from solar farms, lease owners, and assessing remaining solar potential across regions. New artificial intelligence technologies aim to help users better understand this challenging information and be more insightful and creative.
Creative destruction versus Creative EvangelisationDinis Guarda
The document discusses the concepts of creative destruction and creative evangelization in the digital age. Creative destruction refers to the process of innovation replacing outdated products and processes, while creative evangelization involves using digital tools to spread information and potentially convert others to new beliefs. The author argues that in today's world of big data and algorithms, creativity may be humanity's means of thriving amid increased complexity, randomness, and "black swan" events. Leaders must learn to effectively manage and create intelligence from vast amounts of integrated data in order to connect emotionally with networks and evangelize creatively.
Haiku Deck is a presentation platform that allows users to create Haiku-style slideshows. The document encourages the reader to get started creating their own Haiku Deck presentation on SlideShare by providing a link to do so. It aims to inspire the reader to try out Haiku Deck's unique presentation style.
Joel Livingston has over 15 years of experience in various roles including business systems consultant, contractor, scanning specialist, media specialist, and assistant manager. He is currently pursuing a Bachelor's degree in Human and Child Development from Arizona State University. His objective is to be a high-value team member who can improve processes and complete tasks efficiently.
This short document promotes creating presentations using Haiku Deck on SlideShare. It encourages the reader to get started making their own Haiku Deck presentation by simply clicking the "GET STARTED" prompt. In just one sentence, it pitches presentation creation using Haiku Deck on SlideShare's platform.
Steve Jobs was born in 1955 in San Francisco and adopted shortly after birth. He was half Syrian and co-founded Apple with Steve Wozniak in high school. Jobs helped revolutionize the technology industry with Apple products like the iPhone and was known for his demanding personality, though he also received honors like having a day named after him in California.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Belle's mother leaves the house for the evening, telling Belle to eat and go to bed early. Belle goes upstairs to her room, places her toys on the shelf and bed, and gets ready for bed. As she tries to sleep, Belle hears whispers and wakes to see her toys watching her. When she looks in the mirror, Belle has an evil grin and possessed look in her eyes.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document summarizes an article from the September-October 2015 issue of Chip Scale Review magazine. The article discusses how system scaling, through heterogeneous integration of components using advanced 3D packaging technologies like ultra-thin glass interposers with through-silicon vias, can address challenges with transistor scaling, single-chip packaging, and emerging electronic systems. System scaling aims to achieve "system-on-one package" by integrating entire systems with off-chip interconnect lengths less than 100 microns, as an alternative to traditional system-on-chip approaches limited by transistor scaling. The Georgia Institute of Technology is leading research on system scaling through an industry consortium to develop the necessary technologies and demonstrate functional modules.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like depression and anxiety.
El documento describe la relación entre ciencia, tecnología, innovación y sociedad. Explica que estos son procesos sociales que se generan de forma acumulativa a lo largo de la historia y tienen impactos tanto positivos como negativos en la sociedad. También analiza factores como la nueva ciencia multidisciplinaria, la tercera revolución industrial, la globalización y la brecha científica y tecnológica de Colombia. Finalmente, resalta que el desarrollo científico y tecnológico requiere de
The document discusses big data and Hadoop, providing an introduction to big data, use cases across industries, an overview of the Hadoop ecosystem and architecture, and learning paths for professionals. It also includes examples of how companies like Facebook use large Hadoop clusters to store and process massive amounts of user data at petabyte scale. The presentation aims to help attendees understand big data, Hadoop, and career opportunities working with these technologies.
The Hollywood film industry has had a profound global influence since the early 20th century. It began emerging in Hollywood, California in the early 1900s and truly flourished in the 1920s with the rise of movie stars and studios like Paramount, Warner Bros., RKO, and Columbia establishing themselves in Hollywood. The classical Hollywood era from 1917-1960 developed the dominant style of narrative filmmaking still used today. The 1960s-1980s New Hollywood era saw a shift towards more unconventional narratives and an emphasis on realism and location shooting. Major studios like Universal, Paramount, Columbia, and Warner Bros. have produced many successful and influential films over the decades.
20th Century Fox is an American film studio and distributor founded in 1915. It began with William Fox showing films in small theaters and has grown to be one of the major Hollywood studios. Throughout its history, 20th Century Fox has produced influential films using new technologies and exploring genres. It also operates television and animation studios such as Blue Sky Studios, known for the Ice Age and Rio franchises. The company continues to embrace new technologies and bring popular stories to audiences.
This document outlines the big data landscape in 2016, including key components like data lakes, data warehouses, ingestion, processing, data science, analytics, and data sources. It also discusses related microservices, algorithms, data storage technologies, data workflows, stream processing systems, SQL and NoSQL databases, and specialized databases for time series, graphs, and other data types. The goal is to provide an overview of the different technologies and approaches for working with large and diverse datasets.
The document discusses Apache Atlas, which is a data governance solution for Hadoop. It provides a centralized business catalog to organize data assets along business terms. This helps improve data governance, compliance, and faster discovery of data. The business catalog provides a common taxonomy and supports features like tagging, lineage tracking, and dynamic access control integrated with Ranger. It aims to reduce the time analysts spend searching for data from 50-80% to less than 25%.
The document discusses Google Cloud Platform machine learning capabilities for unstructured data like text, speech and images. It introduces the Cloud Vision, Speech and Translate APIs which provide pre-trained machine learning models through REST interfaces to understand unstructured data without requiring ML expertise. Examples are given of using the APIs for tasks like content moderation, sentiment analysis and extracting text/metadata from images.
eBay maintains hundreds of millions of accounts across its properties that are unstructured and in different formats. Identifying which accounts belong to the same person enables eBay to personalize customer experiences, provide customer service, and fight fraud. MapReduce provides a robust design pattern to simplify high-scale entity resolution through parallelized modular operations, including linking accounts pairwise, identifying connected components through iterative MapReduce jobs, and validating the results.
Research Presentation: How Numbers are Powering the Next Era of MarketingMediaPost
This document discusses how numbers and data are powering the next era of marketing. It notes that nearly 4 in 10 CMOs say they do not have the right tools and resources to meet their marketing objectives. Companies are turning to providers like Accenture Interactive to bring together full marketing solutions using consulting, technology, and analytics. The CMO agenda is being disrupted by the explosion of data from sources like mobile devices, social media, and the internet of things. This data needs to be captured, analyzed, and used to optimize marketing interactions and drive continuous discovery. Strong collaboration between marketing and IT is needed to take advantage of big data technologies and manage various data environments.
The document discusses 5 key trends that will change how data is used: 1) Re-establishing trust and consent after GDPR, 2) Data maturity becoming an important new data layer, 3) Machine learning starting to deliver real results through improved data, 4) The internet of things becoming a real thing, and 5) Building bridges between systems instead of walls. Each trend is discussed in 1-2 pages covering the trend, examples, and 3 pieces of advice related to the trend.
How to Enable Personalized Marketing Even Before 'Big Data'DocuStar
This document discusses how companies can enable personalized marketing even without extensive big data capabilities. It defines big data and outlines the challenges it poses for marketing departments in terms of volume, velocity, and variety of data as well as costs, skills, and cross-functional collaboration needed. The document then introduces the MarketHUB+ solution as an alternative that allows personalized marketing through efficient use of field sales knowledge without the challenges of big data. It claims MarketHUB+ provides quick implementation and ROI as well as marketing services and workflow automation.
Digital Velocity London - What's The Future for Data Orchestration, Tealium D...Tealium
The document discusses 5 key trends that will change how data is used: 1) Re-establishing trust after GDPR through transparency and consent, 2) Data maturity becoming more important to leverage machine learning, 3) Machine learning starting to provide real results through optimized data, 4) The internet of things becoming more prevalent through connected devices, and 5) Breaking down data silos to build connections across ecosystems.
The Technology Horizon: Essential Technologies for Legal MarketersAdam Stock
The document discusses 14 trends in marketing technology that law firms need to follow: 1) Chief Marketing Technologist, 2) Cloud computing, 3) Niche marketing, 4) Multi-device support, 5) Marketing automation, 6) Generational marketing, 7) Relationship capital, 8) Sales automation, 9) Intelligence tools, 10) Information platforms, 11) Content marketing, 12) Content branding, 13) Social marketing, 14) Multi-modal learning. It emphasizes that marketers need to master emerging technologies to effectively reach clients. Law firms should develop integrated marketing technology strategies and toolsets to optimize efforts in planning, creating, distributing, converting, and analyzing content.
This document discusses how big data can be monetized. It defines big data as large and complex data sets that are difficult to process using traditional tools. The rise of big data is due to factors like globalization, the internet of things, data explosion, and increased mobility and social media usage. The document outlines how big data impacts enterprises by enabling real-time decisions, transparency, and more competitive intelligence. It provides examples of how big data can be monetized through analytics, subscriptions, and cloud collaboration platforms. Specific use cases discussed include monitoring Brazil's Amazon rainforest and enabling more targeted retail promotions.
This white paper discusses how organizations can transform big data into business value by connecting various data sources, analyzing data at scale, and taking action. It outlines the challenges of dealing with exponentially growing data in today's digital world. The paper introduces Actian's solutions for enabling an "action-driven enterprise" through its DataCloud Platform for invisible integration and ParAccel Platform for unconstrained analytics. These platforms allow organizations to connect diverse data, analyze it without constraints, and automate actions based on insights gleaned from big data analytics. Use cases demonstrate how companies are leveraging Actian's technology to gain competitive advantages.
Abstract:
Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.
Invited talk planned for STI summit in Russia in July 2013. Due to an error in visa I never made it to Russia. Here is the talk anyway. The first part is my standard big data talk. The second part is about the semantic web and big data.
Big data is becoming more important for businesses as datasets grow larger. The big data ecosystem is maturing with convergence of technologies like cloud, analytics, mobile and social. Big data can help businesses meet goals like reducing costs, improving productivity, and better customer acquisition and expansion. While data size used to be the focus, context is now more important. Organizations must cleanse and organize data before analyzing it to generate useful insights. Emerging trends include using big data with IoT, cloud computing, and chatbots. Government initiatives around open data can help create smart cities when combined with big data. However, concerns around personal data use are growing.
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As pressure for digital transformation increases, companies must harness big data more effectively. But the well-known V’s of data—volume, variety, velocity—represent both opportunities and challenges. Data enrichment enables organizations to take full advantage of the benefits while addressing these typical problems. In this session, we look at what an enrichment workflow might look like and how it enhances data’s value across different use cases.
The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires careful preparation. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data—with fully-symmetrical Ethernet solutions designed to deliver low-latency, high-bandwidth connectivity between organizational peers, the cloud, and the servers where your data is stored. Our infographic, "Summiting the Mountain of Big Data" will help you understand how big "Big Data" really is; who's producing, consuming, managing and storing all that data; the business advantages you can capture by tapping into its power; and how you can prepare your organization to meet its demands—resulting in Big Gains from Big Data.
The document summarizes seven megatrends - Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things, and Cybersecurity. It discusses the future of each trend, current trends, and open questions. Some benefits mentioned are improved collaboration, education, healthcare, safety, and business models. However, some risks include increased threats to privacy, job displacement, and security issues. The document recommends organizations consider how these trends could impact their operations and how to leverage new technologies while mitigating risks.
Next Generation of the Previously Unthinkableqmatheson
Presented by Patrick Vice, Insurance-Canada.ca
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Big Data Trends - WorldFuture 2015 ConferenceDavid Feinleib
David Feinleib's Big Data Trends presentation from the World Future Society's Annual Conference, WorldFuture 2015, held at the Hilton Union Square, San Francisco, California July 25, 2015.
The document discusses the rise of big data and how everything is now connected to the internet and generates large amounts of data. It provides examples of how much digital content and transactions happen every day. It then discusses how companies can harness big data by using technology platforms to analyze and classify data to gain insights and make better decisions. The document uses Mindshare as an example of how they use different tools like CRM, RTB, RTC and RTE to leverage big data for applications like advertising, recommendations, and content personalization. It concludes by noting that while big data is not as developed in Asia yet, it will continue growing due to improving data ecosystems, technology and market understanding.
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
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years in a row, the Labrador Retriever has dropped to second place
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rankings in rapid time despite having health concerns and limited
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Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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Benefits:
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1. Big Data
Association of Strategic Alliance Professionals
Ontario Chapter
Eric Meger
eric.meger@maerospace.com
May 19, 2016
Big Data
Where are we today? Myths of Big Data Role of Alliances Our Story
2. Ode to Big Data..
Upon this gifted age, in its dark hour,
rains from the sky a meteoric shower
of facts...they lie, unquestioned, uncombined.
Wisdom enough to leach us of our ill
is daily spun; but there exists no loom
to weave it into a fabric.
--Vincent Millay
5. Drivers
• Social Media
• Mobile growth
• IoT
• Cloud computing
• 2015 Venture Boom
– 340 New IoT Deals
– 50 Space deals
90%
10%
Global Data
IBM. http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html
Data collected
since my last talk
This is what exponential growth feels like
11. Myth # 1
• Big Data is just:
Continuation of Moore’s Law
or
A way to market Business Intelligence software
12. Six disruptive forces at once!
Core Drivers are the real revolution
Generate
Data
• Social Media
• Smart Sensors
Networked
Data
• Wireless
(4G and satellite)
Analyze
the Data
• Cloud Computing
• Mobile apps
• Hybrid data
warehousing
Driving
Forces
13. Myth #2
Big Data = Hadoop
Hadoop is the hot ticket to unstructured data, but…
• Complex deployment
• Security Concerns due to complexity
• Vulnerable By Nature – based on JAVA
• Significant execution overhead
• Real-time not possible
• Will Hadoop be the yahoo or google of big data?
14. Myth #2
Data Lakes Are the Next Solution
Only a Metaphor
You still have to find
the right pint of water
in the lake and see if
it’s drinkableAnd then a
miracle happens…
https://www.digitalnewsasia.com/business/forget-data-warehousing-its-data-lakes-now
15. Myth # 3
Big Data is All Data Combined
http://hortonworks.com/blog/7-key-drivers-for-the-big-data-market/
People as SourcesThings as Sources
Our
focus
The focus
of the big
players
18. Light at the end
of the
tunnel…
• Hybrid Cloud computing will be ubiquitous
• All databases will handle unstructured data
• Price war in wireless will become trench warfare
• Everything will be compatible with mobility
• Big Data will still be growing …
but the world will be able to handle it
I stand by my
predictions
21. RETHINK THE STRATEGIC SITUATION
First find the right question!
Customers
CompetitionTechnology
What new insights
could be created with
new information about
customers?
How could competitor
capture our customers
if they had unlimited
information?
How do we integrate
all four technology
groups to create new
value? Wireless, Cloud,
Database and
Social/Sensors
Where do we
need help ?
22. Capability Gaps Alliance Opportunity
New
Data
bases
Social
Media
Analytics
Wireless
&
Satellite
Hybrid
Clouds
Mobility
23. Choose the right flavor…
Strategic
Alliance
Joint
Ventures
Minority
Equity
Deals
Tech or
Ops
sharing
Agreement
24. Strategic Alliances
• Close relationships
with well-defined
roles with operational
mutual interest
• NOT a transaction
• NOT a purchase or
sale mechanism
Chemistry
Strategy
Operations
25. Alliances require focus
• Working through Chaos requires commitment, good will and
patience
• Payoff : Opportunity & Competitive Advantage
• Build good relationships and nurture them
– ASAP Best Practices
33. Feed to
existing systems
(pos. & anomalies)
TIMECASTER™ (V1 INFOFACTORY NOW OPERATIONAL)
Secure & Segregated
Data and Processing
24 x 7
Support
Customer’s
Existing Data
Feeds:
AIS
S-AIS
LRIT
…others
[Compliant with
existing
licenses]
Maerospace
Info Factory
email, SMS
anomaly alerts
Web Interface
Web Interface
How it works…
Located in Canada
[Option for in-country or enterprise implementations]
34. STRATEGIC ALLIANCES ARE KEY TO OUR
STRATEGY
VC-Backed
tracking company
DIRECT SALES
+ Def/Intel Leader
Financial Info
Services leader
TBD in 2016
Fleet
Owners
Defense
Intelligence
Financial
Market
Logistics
Market
Viewer & opt.
adv. features
Def. Threat
Assessment &
Viewer
Optical
imagery, dB,
access & billing
platform
Fixture, rate
and
destination
data
On-Board RF
Container Sol’n
Intel & Threat
Detection
Government
Fleets
Financial
Logistics
?
?
Maerospace
CAPABILITIES MARKET ACCESS
35. Closing Thoughts
Finding the right questions is a
LOT harder that just collecting
and processing data
Leadership means looking for
the meaning behind the dataf
36. “It's tough to make predictions,
especially about the future.”
Editor's Notes
Thank you Brian for that kind introduction.
I am really pleased to be here to talk about Big Data and Strategic Alliances.
While I have been working with Strategic Alliances since the early 1990’s, Big Data is, of course a new phenomenon.
I began dealing with Big Data at exactEarth a few years ago where we built a satellite system that is today collecting 5-10 million messages a day from 85,000 ships worldwide.
I’ll talk a little about that toward the end of my talk.
But first, let’s look at the first assumption that I just made – namely, that Big Data is a new phenomenon.
Big Data has been with us for a long time – so why is it so hot now. That’s what we will examine tonight.
I looked for something to capture the enthusiasm we see today for big data and I found this poem
It conveys the overwhelming sense of opportunity and challenge felt in the industry today.
But… it was published in 1939!
Tonight I’ll talk about these things.
At the end I’ll tell a story of how I have been dealing with these issues and opportunities over the past few year.
First, where is all this big data coming from?
These are QUALITATIVE changes. There are NEW kinds of data from NEW networks and NEW sources/operators of Applications