This document discusses opportunities for enterprises using big data across multiple industries. It defines big data as having large volumes, complexity, and requiring speed. Big data can help businesses improve operational efficiency, grow revenues, and create new business models. The document examines big data uses in industries like financial services, healthcare, sports, travel and media. It also discusses technologies for big data like Hadoop and visualization tools.
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Breakthrough experiments in data science: Practical lessons for successAmanda Sirianni
Leading firms are integrating data science capabilities within their organizations to capture the untapped potential of data science as a source for competitive advantage. Yet, many enterprises are challenged to successfully integrate these capabilities for sustained value and to measure its worth for the organization. This analytics study conducted by the IBM Center for Applied Insights uses practical advice from those seeing the benefits to establish a proven success formula for integrating a data science capability within your organization.
To learn more: www.ibm.com/ibmcai/data-science
Reveal the Intelligence in your Data with Talend Data FabricJean-Michel Franco
Discover the Winter'20 release of Talend Data Fabric.
Find out about the newly released product, Talend Data Inventory, and the powerful new capabilities and AI that accelerate and modernize data engineering. Find out how to:
- Ensure trusted data at first sight with Data Inventory
- Increase efficiency and productivity with Pipeline Designer
- Automate more integration tasks with AI and APIs
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Breakthrough experiments in data science: Practical lessons for successAmanda Sirianni
Leading firms are integrating data science capabilities within their organizations to capture the untapped potential of data science as a source for competitive advantage. Yet, many enterprises are challenged to successfully integrate these capabilities for sustained value and to measure its worth for the organization. This analytics study conducted by the IBM Center for Applied Insights uses practical advice from those seeing the benefits to establish a proven success formula for integrating a data science capability within your organization.
To learn more: www.ibm.com/ibmcai/data-science
Reveal the Intelligence in your Data with Talend Data FabricJean-Michel Franco
Discover the Winter'20 release of Talend Data Fabric.
Find out about the newly released product, Talend Data Inventory, and the powerful new capabilities and AI that accelerate and modernize data engineering. Find out how to:
- Ensure trusted data at first sight with Data Inventory
- Increase efficiency and productivity with Pipeline Designer
- Automate more integration tasks with AI and APIs
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
Many organizations are still early in their journey to set up and optimize their analytics function and related capabilities. However, those that are investing in highly skilled data leaders are seeing the business benefits. To learn more, the IBM Center for Applied Insights spoke with some of these leaders.
Through their stories, we discovered the analytics challenges that businesses face across industries and sectors, and how today’s data leaders confront and eventually overcome those challenges. See how these leaders were able to deliver outcomes that far outweighed their early struggles. To learn more: www.ibm.com/ibmcai/cdostudy
Inside the mind of Generation D: What it means to be data-rich and analytica...Derek Franks
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it. In an IBM Center for Applied Insights global study of more than 1,000 enterprises, one particular segment – Generation D (for data) – stands out from peers. These enterprises not only employ more advanced data sources and more sophisticated analytics; they’re also adopting a more systematic, enterprise-wide approach to cloud computing, mobile and social engagement, and data and analytics. Interestingly, this GenD behavior pattern also correlates with stronger business performance across a range of key metrics.
The Past - the History of Business IntelligencePhocas Software
Learn the history of business intelligence in this three part series. In part one, we discuss how business intelligence software used to be (the past).
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
As per the PfMP Certification, it is critical to keep track of project progress in order to keep the timetable on track. Six elements included in comprehensive project reports are mentioned here.
The Present - the History of Business IntelligencePhocas Software
Learn the history of business intelligence in this three part series. In part one, we discussed how business intelligence software used to be (the past). In part two, we discuss business intelligence as it is in the present.
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Big Data LDN 2018: THE THIRD REVOLUTION IN ANALYTICSMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Rob Davis
Organisation: MicroStrategy
About: While great strides have been made in equipping the analyst with ever smarter tools for gleaning insight from data, techniques and platforms for allowing the workforce to benefit from these insights in a timely fashion have been lacking. The third revolution in analytics will enable this wider workforce, consisting of front line workers who are not traditional users of data, to rapidly monetise insights coming from the business analyst even while their day to day actions improve the intelligence of the enterprise.
In this session, you will learn what characteristics an analytics platform must possess in order to enable the third revolution as well as see examples of how to build the organisational and cultural changes that are also necessary. A case study and common pitfalls to be avoided will be presented. Key industry trends such as AI, embedded analytics, and widening data literacy will be discussed as enablers for the third revolution in analytics.
Join Rob Davis, Vice President of Product Management for MicroStrategy, as he presents the importance of bridging this last mile of analytics to the creation of a truly Intelligent Enterprise.
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...Denodo
Voir: https://bit.ly/2Oycfnn
À l’ère du numérique, la digitalisation et modernisation des services financiers sont plus que jamais requises compte tenu de leur rôle clé dans les processus de prise de décisions et le pilotage de la performance. Les directions financières nécessitent ainsi de fournir des informations fiables et vérifiées, tout en répondant aux exigences de gouvernance et de sécurité. À cela s’ajoute, l’étendue de leurs fonctions qui comprend désormais l’analyse prédictive des données. Cependant, ce pôle stratégique est souvent confronté à des défis tels que le difficile accès à la donnée ou la faible automatisation des tâches.
La Data Virtualization ou virtualisation des données permet d’accroître la valeur ajoutée de la fonction finance et il s’agit d’un levier qui permet de consacrer le plus du temps à l'analyse prédictive au détriment de la collecte et la consolidation depuis les différentes sources de données. Visionnez ce webinar pour découvrir comment la Data Virtualization permet de :
- Donner plus d'autonomie à la finance vis-à-vis de l'informatique, tant sur la modification des paramétrages, que sur la modélisation des règles de gestion, sur les éditions …
- Éviter la saisie multiple d'informations, de nombreux retraitements manuels, et procéder à différentes simulations.
- Effectuer des analyses multidimensionnelles
- Passer plus de temps sur les tâches à valeur ajoutée
- Utiliser, dans un seul outil, les données en provenance de plusieurs sources
- Se concentrer sur l’analyse plutôt que sur la consolidation des données
- Garantir la rigueur du reporting institutionnel
… et bien plus encore ! La séance comprend une démo live de cette technologie appliquée à l’analyse prédictive.
Apresentação D9Clube de Trading EsportivoAkhil Leandro
Link de cadastro: https://www.radarmultinivel.com/
Cadastre-se na escola de Trader Esportivo D9 Clube no link acima e receba grátis as orientações para fazer seu cadastro na Betfair, o maior site de bolsa esportiva do mundo.
*Use seu número do Whatsapp no cadastro que entrarei em contato.
Whatsapp: 12 98868-5504
How Fremont-Rideout Health Group Grew Their Project Capacity x12 With AtTaskWorkfront
To accompany its new PMO, Fremont-Rideout chose AtTask to manage its IT work. In a few years, they have multiplied their project capacity twelve times.
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
Many organizations are still early in their journey to set up and optimize their analytics function and related capabilities. However, those that are investing in highly skilled data leaders are seeing the business benefits. To learn more, the IBM Center for Applied Insights spoke with some of these leaders.
Through their stories, we discovered the analytics challenges that businesses face across industries and sectors, and how today’s data leaders confront and eventually overcome those challenges. See how these leaders were able to deliver outcomes that far outweighed their early struggles. To learn more: www.ibm.com/ibmcai/cdostudy
Inside the mind of Generation D: What it means to be data-rich and analytica...Derek Franks
It’s one thing to buy into the current belief that data and analytics can transform business. It’s another thing to live it. In an IBM Center for Applied Insights global study of more than 1,000 enterprises, one particular segment – Generation D (for data) – stands out from peers. These enterprises not only employ more advanced data sources and more sophisticated analytics; they’re also adopting a more systematic, enterprise-wide approach to cloud computing, mobile and social engagement, and data and analytics. Interestingly, this GenD behavior pattern also correlates with stronger business performance across a range of key metrics.
The Past - the History of Business IntelligencePhocas Software
Learn the history of business intelligence in this three part series. In part one, we discuss how business intelligence software used to be (the past).
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
As per the PfMP Certification, it is critical to keep track of project progress in order to keep the timetable on track. Six elements included in comprehensive project reports are mentioned here.
The Present - the History of Business IntelligencePhocas Software
Learn the history of business intelligence in this three part series. In part one, we discussed how business intelligence software used to be (the past). In part two, we discuss business intelligence as it is in the present.
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Big Data LDN 2018: THE THIRD REVOLUTION IN ANALYTICSMatt Stubbs
Date: 13th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Rob Davis
Organisation: MicroStrategy
About: While great strides have been made in equipping the analyst with ever smarter tools for gleaning insight from data, techniques and platforms for allowing the workforce to benefit from these insights in a timely fashion have been lacking. The third revolution in analytics will enable this wider workforce, consisting of front line workers who are not traditional users of data, to rapidly monetise insights coming from the business analyst even while their day to day actions improve the intelligence of the enterprise.
In this session, you will learn what characteristics an analytics platform must possess in order to enable the third revolution as well as see examples of how to build the organisational and cultural changes that are also necessary. A case study and common pitfalls to be avoided will be presented. Key industry trends such as AI, embedded analytics, and widening data literacy will be discussed as enablers for the third revolution in analytics.
Join Rob Davis, Vice President of Product Management for MicroStrategy, as he presents the importance of bridging this last mile of analytics to the creation of a truly Intelligent Enterprise.
Impulser la digitalisation et modernisation de la fonction Finance grâce à la...Denodo
Voir: https://bit.ly/2Oycfnn
À l’ère du numérique, la digitalisation et modernisation des services financiers sont plus que jamais requises compte tenu de leur rôle clé dans les processus de prise de décisions et le pilotage de la performance. Les directions financières nécessitent ainsi de fournir des informations fiables et vérifiées, tout en répondant aux exigences de gouvernance et de sécurité. À cela s’ajoute, l’étendue de leurs fonctions qui comprend désormais l’analyse prédictive des données. Cependant, ce pôle stratégique est souvent confronté à des défis tels que le difficile accès à la donnée ou la faible automatisation des tâches.
La Data Virtualization ou virtualisation des données permet d’accroître la valeur ajoutée de la fonction finance et il s’agit d’un levier qui permet de consacrer le plus du temps à l'analyse prédictive au détriment de la collecte et la consolidation depuis les différentes sources de données. Visionnez ce webinar pour découvrir comment la Data Virtualization permet de :
- Donner plus d'autonomie à la finance vis-à-vis de l'informatique, tant sur la modification des paramétrages, que sur la modélisation des règles de gestion, sur les éditions …
- Éviter la saisie multiple d'informations, de nombreux retraitements manuels, et procéder à différentes simulations.
- Effectuer des analyses multidimensionnelles
- Passer plus de temps sur les tâches à valeur ajoutée
- Utiliser, dans un seul outil, les données en provenance de plusieurs sources
- Se concentrer sur l’analyse plutôt que sur la consolidation des données
- Garantir la rigueur du reporting institutionnel
… et bien plus encore ! La séance comprend une démo live de cette technologie appliquée à l’analyse prédictive.
Apresentação D9Clube de Trading EsportivoAkhil Leandro
Link de cadastro: https://www.radarmultinivel.com/
Cadastre-se na escola de Trader Esportivo D9 Clube no link acima e receba grátis as orientações para fazer seu cadastro na Betfair, o maior site de bolsa esportiva do mundo.
*Use seu número do Whatsapp no cadastro que entrarei em contato.
Whatsapp: 12 98868-5504
How Fremont-Rideout Health Group Grew Their Project Capacity x12 With AtTaskWorkfront
To accompany its new PMO, Fremont-Rideout chose AtTask to manage its IT work. In a few years, they have multiplied their project capacity twelve times.
Why University Hospitals Increased AtTask License Count 800%Workfront
Expanding their number of portfolios, the PMO at University Hospitals in Ohio needed one solution that was up to the task but would still be easy to adopt. They found AtTask.
How IDEX Health & Science Increased Project Capacity by 367% with AtTaskWorkfront
The Engineering department at IDEX Health & Science was spending a lot of time gathering data and only getting a fraction of the data they needed for the effort. AtTask made data gathering automatic, increased their work capacity, and gave them the intelligence to streamline their processes.
Infographic: The Project Management Hall of ShameWorkfront
While project failure is nothing new, some projects fail so spectacularly they deserve to have an infographic produced in their (dis)honor. This infographic showcases some of the most disastrous project management failures in recorded history.
What's Happening in UK Marketing Departments?Workfront
What motivates, challenges, and infuriates UK marketers, according to Workfront's 2016-17 State of Marketing Work Report.
As individual marketers, we all feel we're being asked to jump through smaller hoops and working harder to do it. In this year's State of Marketing Work Report, Workfront set out to find out if this is true and, if so, what's driving it. Here are 10 of the biggest revelations we discovered...
Workfront surveyed UK enterprise workers about what's working for them and what's not. Their responses reveal large amounts of time consumed by traditional tools and practices and conflict from odd places.
How to prioritize all of those to-do’s in a logical, meaningful way?
Yes, you could just plow right into that pile, overcoming your workload with sheer grit and tenacity. But if you value your work-life balance and your sanity, it will take more than determination; it will require a little structure.
These 4 steps will help you prioritize your work according to what will deliver the most value to your company and peace of mind for you…
As markets get more competitive, marketers are turning to work management methodologies to get an edge. But is it working for them?
This year, Workfront surveyed marketers to find out. Their responses show marketing teams wanting to manage work better, but in dire need of help…
We hear it all the time in marketing teams and agencies, but is it really true? Are creativity and structure really mortal enemies?
Eleven marketing thought leaders weigh in and help set the record straight.
31 Tricks That Might Just Get You Out Of The Office On Time
Who doesn’t want to get more done in less time?
For all the people who find that all the hours in the day aren’t enough to get done all the tasks on their to-do list, any trick to milk out of the day one more completed task is gold.
Drawing on the wealth of work management tips on the Talking Work Blog and the knowledge of other experts, we’ve amassed a list of 31 productivity tips so powerful, you just might leave the office on time…
Most projects start out as great ideas. But, somewhere along the way, project management mistakes are made, communication breaks down, and, most projects—70% of them— end up late, over budget, and on the way to the project dumpster. These 8 projects failed epically, but therein are contained project management lessons any smart manager can benefit from.
18 Experts on Balancing Process, Creativity, & ProductivityWorkfront
This presentation is a compilation of 18 creative leaders of agencies and in-house teams discussing their methods and best practices for balancing process, creativity, and productivity and getting the best out of their teams.
The objective of this module is to provide an overview of what the future impacts of big data are likely to be.
Upon completion of this module you will:
Gain valuable insight into the predictions for the future of Big Data
Be better placed to recognise some of the trends that are emerging
Acquire an overview of the possible opportunities your business can have with Big Data
Understand some of the start up challenges you might have with Big Data
Big Data Trends and Challenges Report - WhitepaperVasu S
In this whitepaper read How companies address common big data trends & challenges to gain greater value from their data.
https://www.qubole.com/resources/report/big-data-trends-and-challenges-report
Activating Big Data: The Key To Success with Machine Learning Advanced Analyt...Vasu S
A whitepaper of Qubole that How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.
https://www.qubole.com/resources/white-papers/activating-big-data-the-key-to-success-with-machine-learning-advanced-analytics
Who needs Big Data? What benefits can organisations realistically achieve with Big Data? What else required for success? What are the opportunities for players in this space? In this paper, Cartesian explores these questions surrounding Big Data.
www.cartesian.com
The objective of this module is to take a look into what big data can bring you in the future.
Upon completion of this module you will:
- See what are the predictions for the future of Big Data
- Take a look at some trends that are emerging
- Get an overview of possible opportunities your company can have with Big Data
- Face some of the start up challenges you might have with Big Data
Duration of the module: approximately 1 – 2 hours
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Big Data is Here for Financial Services White PaperExperian
Conquering Big Data Challenges
Financial institutions have invested in Big Data for many years, and new advances in technology infrastructure have opened the door for leveraging data in ways that can make an even greater impact on your business.
Learn how Big Data challenges are easier to overcome and how to find opportunities in your existing data and scale for the future.
Similar to GigaOM Putting Big Data to Work by Brett Sheppard (20)
Sample portfolio of Brett Sheppard marketing in previous roles at Tableau, Splunk, DxContinuum / ServiceNow and Datadog including authored publications, narratives and product marketing, case studies, community and partner marketing, and analyst relations.
How Comcast Turns Big Data into Real Time Operational Insights: Winter Olympi...Brett Sheppard
2014 O'Reilly Strata conference presentation by Patrick Shumate and Brett Sheppard, about the Comcast technology stack delivering content from the 2014 Winter Olympics in Sochi. The session and slides are presented with approval from NBC and its parent company Comcast.
Checklist for early-stage startups to improve search engine optimization (SEO) for organic search, as part of a lead generation blog series by Brett Sheppard @zettaforce
The power to predict can give sales teams an “unfair advantage”. Predictive analytics can help your business-to-business (B2B) sales team leapfrog the competition and reduce the time from initial contact to sales closure. Tracking sales velocity is a good way to pinpoint where your sales and marketing execution fails to engage customers. Deals that drag on waste valuable sales resources and make it challenging for sales leadership to prepare accurate revenue forecasts. High-performing sales teams improve sales velocity and achieve competitive advantage using turn-key predictive analytics applications. Predictive models can be very powerful and profitable, even if they just give you a small edge in determining which option to choose or path to take. In this DxContinuum webinar with guest Forrester Research, learn best practices for how your organization can improve sales velocity with predictive analytics.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found