Moderated by Elouise Epstein, Partner at Kearney: TealBook Founder + CEO, Stephany Lapierre, presents with Albemarle VP of Global Procurement, Tim Herrod.
DPW 2022: Unleashing Procurement Possibilities with Arnold Liwanag .pdfKatherineMcCleery
The document discusses how artificial intelligence, machine learning, and dynamic data are transforming procurement possibilities through the TealBook platform. TealBook uses AI to integrate data from various sources to create universal supplier profiles that provide insights across the procurement lifecycle. Maintaining accurate supplier data is challenging for companies and often relies on manual work, whereas TealBook's automated approach leverages AI to continuously update and enrich supplier data.
Fuel Cost Savings and Drive Better Decisions with Dynamic Supplier Data .pdfKatherineMcCleery
In this live session, we will be joined by Brian Tarble, Vice President of Product at TealBook. The large-scale disruption and shortages impacting global markets have increased the need for highly qualified alternative sources of supply and rising inflation has made those goods and services at an all time high.
Finding qualified suppliers can be a very time-intensive process that short-staffed procurement and sourcing departments cannot support. Brian will address the biggest thorn in your side – bad data – and how using a data-first approach will help you deliver on cost savings and supplier discovery initiatives.
Operationalizing a Vision for the Monetization of Telco Consumer DataPrecisely
Telecommunications companies have an abundance of subscriber activity data at their fingertips, which can be highly valuable to third-party organizations when it comes to location-based decision making. But how can telcos properly enrich this data with the context needed in order to successfully turn that data into a revenue stream for their business?
View this short on-demand webcast, where our Customer Information Director, Dominic Tomey, discusses the following:
• Why location intelligence, particularly mobile trace data, can be so valuable for clients when making decisions based on location – particularly for retail, banking and other financial institutions
• How Precisely worked with a large provider of wireless telecommunications to successfully monetize their consumer data
• How to correctly apply contextual enrichment in order to derive the most value from subscriber activity data – including the use of demographics and point of interest data
• How to drive results through self-service environments in order to visualize the outputs for further analysis, as well as for Machine Learning and AI applications
Delivering Mission Assurance in the Federal Government through Cloud TechnologyAmazon Web Services
Join us to learn how US Government agencies have leveraged the AWS GovCloud (US) Region to drive digital transformation within their most critical mission systems. This session will highlight the experiences of the US Treasury Department as they modernize legacy IT service delivery to support data-centric architectures in the cloud. Discussions will include business and mission drivers, security and compliance, technical strategy and implementation, and management/operations in the Cloud.
Trasformare il business in modo non convenzionale o tradizionale con i Business Analytics. Oggi il software ed il paradigma dei Big Data permettono non solo di migliorare l’efficienza dei processi, la produttività e ridurre i costi ma possono realizzare nuovi ricavi. Ecco casi di aziende che dalle informazioni hanno creato nuove fonti di revenue o hanno dato un nuovo impulso al loro modello di business.
The document discusses big data and analytics in supply chains. It provides examples of how companies like IBM are using big data techniques to optimize supply chains and customer experiences. Analytics are categorized from descriptive to predictive to cognitive. Challenges of big data include different data types and volumes. The document advocates for collaboration using analytics to create business value. Speakers from IBM, Analytic Impact and Supply Chain Insights discuss their work applying big data and analytics.
Slides: Beyond Metadata — Enrich Your Metadata Management with Deep-Level Dat...DATAVERSITY
Today’s growing complexity to the data ecosystem requires organizations to understand data at the data element level. Challenges in data collection such as open text boxes/free form text fields added to the velocity of incoming data increases risk for organizations. This risk is amplified when those organizations rely exclusively on metadata scanning when it comes to discovering and actioning their data. The need to look deeper than basic metadata becomes even more pronounced when dealing with semi-structured or unstructured data commonly found in file shares and email systems. Maintaining compliance and driving business value often requires scanning actual files, interpreting data, flagging risks, and integrating that risk into a data catalog. Going beyond metadata to the actual data element level ensures that your data catalog is a source of truth, which ultimately allows organizations to create agile Data Governance programs.
We’ll walk you through key considerations for going beyond knowing what metadata you have by:
• Underlining the importance of an enhanced, AI-driven data discovery tool to better understand your data and how it is being used
• Discussing components of an effective Metadata Management strategy including data inventories, data dictionaries, and usage requests
• Highlighting how the OneTrust platform embedded with regulatory intelligence helps you to go beyond metadata and address key use cases around unexpected or at-risk unstructured data
DPW 2022: Unleashing Procurement Possibilities with Arnold Liwanag .pdfKatherineMcCleery
The document discusses how artificial intelligence, machine learning, and dynamic data are transforming procurement possibilities through the TealBook platform. TealBook uses AI to integrate data from various sources to create universal supplier profiles that provide insights across the procurement lifecycle. Maintaining accurate supplier data is challenging for companies and often relies on manual work, whereas TealBook's automated approach leverages AI to continuously update and enrich supplier data.
Fuel Cost Savings and Drive Better Decisions with Dynamic Supplier Data .pdfKatherineMcCleery
In this live session, we will be joined by Brian Tarble, Vice President of Product at TealBook. The large-scale disruption and shortages impacting global markets have increased the need for highly qualified alternative sources of supply and rising inflation has made those goods and services at an all time high.
Finding qualified suppliers can be a very time-intensive process that short-staffed procurement and sourcing departments cannot support. Brian will address the biggest thorn in your side – bad data – and how using a data-first approach will help you deliver on cost savings and supplier discovery initiatives.
Operationalizing a Vision for the Monetization of Telco Consumer DataPrecisely
Telecommunications companies have an abundance of subscriber activity data at their fingertips, which can be highly valuable to third-party organizations when it comes to location-based decision making. But how can telcos properly enrich this data with the context needed in order to successfully turn that data into a revenue stream for their business?
View this short on-demand webcast, where our Customer Information Director, Dominic Tomey, discusses the following:
• Why location intelligence, particularly mobile trace data, can be so valuable for clients when making decisions based on location – particularly for retail, banking and other financial institutions
• How Precisely worked with a large provider of wireless telecommunications to successfully monetize their consumer data
• How to correctly apply contextual enrichment in order to derive the most value from subscriber activity data – including the use of demographics and point of interest data
• How to drive results through self-service environments in order to visualize the outputs for further analysis, as well as for Machine Learning and AI applications
Delivering Mission Assurance in the Federal Government through Cloud TechnologyAmazon Web Services
Join us to learn how US Government agencies have leveraged the AWS GovCloud (US) Region to drive digital transformation within their most critical mission systems. This session will highlight the experiences of the US Treasury Department as they modernize legacy IT service delivery to support data-centric architectures in the cloud. Discussions will include business and mission drivers, security and compliance, technical strategy and implementation, and management/operations in the Cloud.
Trasformare il business in modo non convenzionale o tradizionale con i Business Analytics. Oggi il software ed il paradigma dei Big Data permettono non solo di migliorare l’efficienza dei processi, la produttività e ridurre i costi ma possono realizzare nuovi ricavi. Ecco casi di aziende che dalle informazioni hanno creato nuove fonti di revenue o hanno dato un nuovo impulso al loro modello di business.
The document discusses big data and analytics in supply chains. It provides examples of how companies like IBM are using big data techniques to optimize supply chains and customer experiences. Analytics are categorized from descriptive to predictive to cognitive. Challenges of big data include different data types and volumes. The document advocates for collaboration using analytics to create business value. Speakers from IBM, Analytic Impact and Supply Chain Insights discuss their work applying big data and analytics.
Slides: Beyond Metadata — Enrich Your Metadata Management with Deep-Level Dat...DATAVERSITY
Today’s growing complexity to the data ecosystem requires organizations to understand data at the data element level. Challenges in data collection such as open text boxes/free form text fields added to the velocity of incoming data increases risk for organizations. This risk is amplified when those organizations rely exclusively on metadata scanning when it comes to discovering and actioning their data. The need to look deeper than basic metadata becomes even more pronounced when dealing with semi-structured or unstructured data commonly found in file shares and email systems. Maintaining compliance and driving business value often requires scanning actual files, interpreting data, flagging risks, and integrating that risk into a data catalog. Going beyond metadata to the actual data element level ensures that your data catalog is a source of truth, which ultimately allows organizations to create agile Data Governance programs.
We’ll walk you through key considerations for going beyond knowing what metadata you have by:
• Underlining the importance of an enhanced, AI-driven data discovery tool to better understand your data and how it is being used
• Discussing components of an effective Metadata Management strategy including data inventories, data dictionaries, and usage requests
• Highlighting how the OneTrust platform embedded with regulatory intelligence helps you to go beyond metadata and address key use cases around unexpected or at-risk unstructured data
DevOps is to Infrastructure as Code, as DataOps is to...?Data Con LA
DevOps uses infrastructure as code and automation to quickly release software. DataOps applies similar principles to accelerate data insights by treating data transformation and analytics like code. This allows for incremental, automated changes with low risk. DataOps and modern data processing techniques like machine learning enable insights from diverse and high-volume data sources. However, building large-scale data transformations is challenging due to errors, delays, unclear ownership and complex distributed systems. Relational compute is a simpler approach that leverages SQL and Python skills to rapidly develop and reuse parameterized business logic, from development to production.
The Future of Data Management: The Enterprise Data HubCloudera, Inc.
The document discusses the future of data management through the use of an enterprise data hub (EDH). It notes that an EDH provides a centralized platform for ingesting, storing, exploring, processing, analyzing and serving diverse data from across an organization on a large scale in a cost effective manner. This approach overcomes limitations of traditional data silos and enables new analytic capabilities.
Hadoop 2015: what we larned -Think Big, A Teradata CompanyDataWorks Summit
Think Big is expanding its open source consulting internationally by opening an office in London to serve as its international hub. It is aggressively hiring to support this expansion into areas like data engineering, data science, and sales. Rick Farnell, co-founder and SVP of Think Big, will lead the new international practice. The first phase of expansion will include offices in Dublin, Munich, and Mumbai to serve the European and Indian markets.
Presentation about "Trust Your Supplier", a Chainyard solution to enable supplier qualification on a permissioned shared ledger. TYS is implemented on Hyperledger Fabric and works on a permissioned blockchain. It is one of largest consortium evolving in the supply chain space. If you need more info on TYS, SSI, BITA Party Object or just more info on Chainyard, email me at mohan@chainyard.com
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DATAVERSITY
Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This webinar provides practical ways to manage metadata in your organization using both technical architecture and business techniques.
Webinar produced jointly by Earley Information Science and Riversand on how "Product Information is Key to Winning the Customer Experience Race." Featured speakers are Jeannine Bartlett, Chief Digital Strategist with EIS, and Cody Bateman, Client Relations Executive with Riversand.
Composable data for the composable enterpriseMatt McLarty
I gave this talk at API Days Australia on September 15, 2021. It explores the intersection of the OLTP and OLAP worlds, and the role APIs play in bridging them. This talk introduces API-led Data Connectivity (ALDC).
Empowering Business & IT Teams: Modern Data Catalog RequirementsPrecisely
As the demand for data-driven insights continues to grow, the importance of data catalogs will only increase. A modern data catalog addresses new use cases requiring more immediate and intelligent data discovery to drive complete and informed business outcomes.
In this demo, you will hear how the Precisely Data Integrity Suite’s Data Catalog is the connective tissue that empowers business and IT teams to discover, understand, and trust their critical data. Requirements to meet those new use cases include:
· Discovery, lineage, and relationships across silos for more informed insights
· Interoperability with data platforms and tech stacks to increase ROI
· Machine learning to drive more significant insights
· Data observability to alert users to data changes and anomalies
· Business-friendly data governance to advance understanding & accountability
Trust your data with data integrity on AWSPrecisely
According to a recent IDC report, only 27 percent of data practitioners trust the data they work with. That’s not good enough for your DataOps initiatives and the modern data stack you’re building on AWS. To build trust, you must break data out of siloes, understand its lineage and business impact, cultivate continued quality, and enrich it with context and spatial insights. You need data integrity—data that is accurate, consistent, and contextualized. In this talk, learn how the Precisely Data Integrity Suite can help you build trust in your AWS data for innovation and digital transformation. This presentation is brought to you by Precisely, an AWS Partner.
Active Governance Across the Delta Lake with AlationDatabricks
Alation provides a single interface to provide users and stewards to provide active and agile data governance across Databricks Delta Lake and Databricks SQL Analytics Service. Understand how Alation can expand adoption in the data lake while providing safe and responsible data consumption.
RWDG Slides: Building Data Governance Through Data StewardshipDATAVERSITY
Data stewards play an important role in Data Governance solutions. That is why it is critical that organizations get data stewardship right when setting up their program. The data is governed by people. Some people will even tell you that the discipline should be called people governance.
Bob Seiner has a lot to say on this subject. In this RWDG webinar, Bob shares the reasons why you must build your Data Governance program through the stewardship of the data. There is no governance without formal accountability for data. People become stewards when their relationship to data is formalized. It is the only way.
This webinar will focus on:
• The definition of data stewardship that MUST be adopted
• The critical role stewardship plays in governing data
• What it means to formalize accountability
• Why everybody in the organization is a data steward
• How to build Data Governance through stewardship
[DSC Adria 23] Thomas Miebach A modern, business focused data strategy with C...DataScienceConferenc1
In this session we’ll highlight some key challenges with the “old” data world, and how to overcome them with a modern data strategy focused on the business outcomes. We’ll illustrate how Collibra fits into this strategy and how Collibra supports it.
Retail Analytics and BI with Looker, BigQuery, GCP & Leigha JarettDaniel Zivkovic
Leigha Jarett of GCP explains how to bring Cloud "superpowers" to your Data and modernize your Business Intelligence with Looker, BigQuery and Google Cloud services on an example of Cymbal Direct - one of Google Cloud's demo brands. The meetup recording with TOC for easy navigation is at https://youtu.be/BpzJU_S40ic.
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Between 2003 and now, the amount of data generated has grown exponentially from 5 exabytes every 2 days to an expected 2700 exabytes in 2012. Big data is characterized by volume, velocity, and variety, including structured, semi-structured, and unstructured data from terabytes to exabytes and streaming data. Analytics has evolved from descriptive to predictive to prescriptive. Big data analytics uses complex algorithms on large volumes of internal and external data ranging from tens to hundreds of petabytes to provide experimental and ad hoc insights.
we provide Visual BI insights and perspectives in the area of data governance and special considerations to take into account when approaching cloud-based solutions.
Altis Webinar: Transform The Way You Build Your Modern Day Data Analytics Pla...Altis Consulting
Learn how Altis can help you build a scalable, cost-effective and Serverless Data Analytics platform using our automated framework.
Discover how easily you can kick-start your next data platform and reduce the time-to-value by providing faster business insights
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
HP Helion - Copaco Cloud Event 2015 (break-out 4)Copaco Nederland
HP Helion CloudSystem is the most complete, integrated, and open cloud solution on the market. Powered by OpenStack® technology and developed with an emphasis on automation and ease-of-use, HP Helion CloudSystem redefines how you build and manage cloud services.
Learn how when an organizations combine HP and Vertica Analytics Platform and Hortonworks, they can quickly explore and analyze broad variety of data types to transform to actionable information that allows them to better understand how their customers and site visitors interact with their business, offline and online.
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
DevOps is to Infrastructure as Code, as DataOps is to...?Data Con LA
DevOps uses infrastructure as code and automation to quickly release software. DataOps applies similar principles to accelerate data insights by treating data transformation and analytics like code. This allows for incremental, automated changes with low risk. DataOps and modern data processing techniques like machine learning enable insights from diverse and high-volume data sources. However, building large-scale data transformations is challenging due to errors, delays, unclear ownership and complex distributed systems. Relational compute is a simpler approach that leverages SQL and Python skills to rapidly develop and reuse parameterized business logic, from development to production.
The Future of Data Management: The Enterprise Data HubCloudera, Inc.
The document discusses the future of data management through the use of an enterprise data hub (EDH). It notes that an EDH provides a centralized platform for ingesting, storing, exploring, processing, analyzing and serving diverse data from across an organization on a large scale in a cost effective manner. This approach overcomes limitations of traditional data silos and enables new analytic capabilities.
Hadoop 2015: what we larned -Think Big, A Teradata CompanyDataWorks Summit
Think Big is expanding its open source consulting internationally by opening an office in London to serve as its international hub. It is aggressively hiring to support this expansion into areas like data engineering, data science, and sales. Rick Farnell, co-founder and SVP of Think Big, will lead the new international practice. The first phase of expansion will include offices in Dublin, Munich, and Mumbai to serve the European and Indian markets.
Presentation about "Trust Your Supplier", a Chainyard solution to enable supplier qualification on a permissioned shared ledger. TYS is implemented on Hyperledger Fabric and works on a permissioned blockchain. It is one of largest consortium evolving in the supply chain space. If you need more info on TYS, SSI, BITA Party Object or just more info on Chainyard, email me at mohan@chainyard.com
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DATAVERSITY
Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This webinar provides practical ways to manage metadata in your organization using both technical architecture and business techniques.
Webinar produced jointly by Earley Information Science and Riversand on how "Product Information is Key to Winning the Customer Experience Race." Featured speakers are Jeannine Bartlett, Chief Digital Strategist with EIS, and Cody Bateman, Client Relations Executive with Riversand.
Composable data for the composable enterpriseMatt McLarty
I gave this talk at API Days Australia on September 15, 2021. It explores the intersection of the OLTP and OLAP worlds, and the role APIs play in bridging them. This talk introduces API-led Data Connectivity (ALDC).
Empowering Business & IT Teams: Modern Data Catalog RequirementsPrecisely
As the demand for data-driven insights continues to grow, the importance of data catalogs will only increase. A modern data catalog addresses new use cases requiring more immediate and intelligent data discovery to drive complete and informed business outcomes.
In this demo, you will hear how the Precisely Data Integrity Suite’s Data Catalog is the connective tissue that empowers business and IT teams to discover, understand, and trust their critical data. Requirements to meet those new use cases include:
· Discovery, lineage, and relationships across silos for more informed insights
· Interoperability with data platforms and tech stacks to increase ROI
· Machine learning to drive more significant insights
· Data observability to alert users to data changes and anomalies
· Business-friendly data governance to advance understanding & accountability
Trust your data with data integrity on AWSPrecisely
According to a recent IDC report, only 27 percent of data practitioners trust the data they work with. That’s not good enough for your DataOps initiatives and the modern data stack you’re building on AWS. To build trust, you must break data out of siloes, understand its lineage and business impact, cultivate continued quality, and enrich it with context and spatial insights. You need data integrity—data that is accurate, consistent, and contextualized. In this talk, learn how the Precisely Data Integrity Suite can help you build trust in your AWS data for innovation and digital transformation. This presentation is brought to you by Precisely, an AWS Partner.
Active Governance Across the Delta Lake with AlationDatabricks
Alation provides a single interface to provide users and stewards to provide active and agile data governance across Databricks Delta Lake and Databricks SQL Analytics Service. Understand how Alation can expand adoption in the data lake while providing safe and responsible data consumption.
RWDG Slides: Building Data Governance Through Data StewardshipDATAVERSITY
Data stewards play an important role in Data Governance solutions. That is why it is critical that organizations get data stewardship right when setting up their program. The data is governed by people. Some people will even tell you that the discipline should be called people governance.
Bob Seiner has a lot to say on this subject. In this RWDG webinar, Bob shares the reasons why you must build your Data Governance program through the stewardship of the data. There is no governance without formal accountability for data. People become stewards when their relationship to data is formalized. It is the only way.
This webinar will focus on:
• The definition of data stewardship that MUST be adopted
• The critical role stewardship plays in governing data
• What it means to formalize accountability
• Why everybody in the organization is a data steward
• How to build Data Governance through stewardship
[DSC Adria 23] Thomas Miebach A modern, business focused data strategy with C...DataScienceConferenc1
In this session we’ll highlight some key challenges with the “old” data world, and how to overcome them with a modern data strategy focused on the business outcomes. We’ll illustrate how Collibra fits into this strategy and how Collibra supports it.
Retail Analytics and BI with Looker, BigQuery, GCP & Leigha JarettDaniel Zivkovic
Leigha Jarett of GCP explains how to bring Cloud "superpowers" to your Data and modernize your Business Intelligence with Looker, BigQuery and Google Cloud services on an example of Cymbal Direct - one of Google Cloud's demo brands. The meetup recording with TOC for easy navigation is at https://youtu.be/BpzJU_S40ic.
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Between 2003 and now, the amount of data generated has grown exponentially from 5 exabytes every 2 days to an expected 2700 exabytes in 2012. Big data is characterized by volume, velocity, and variety, including structured, semi-structured, and unstructured data from terabytes to exabytes and streaming data. Analytics has evolved from descriptive to predictive to prescriptive. Big data analytics uses complex algorithms on large volumes of internal and external data ranging from tens to hundreds of petabytes to provide experimental and ad hoc insights.
we provide Visual BI insights and perspectives in the area of data governance and special considerations to take into account when approaching cloud-based solutions.
Altis Webinar: Transform The Way You Build Your Modern Day Data Analytics Pla...Altis Consulting
Learn how Altis can help you build a scalable, cost-effective and Serverless Data Analytics platform using our automated framework.
Discover how easily you can kick-start your next data platform and reduce the time-to-value by providing faster business insights
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
HP Helion - Copaco Cloud Event 2015 (break-out 4)Copaco Nederland
HP Helion CloudSystem is the most complete, integrated, and open cloud solution on the market. Powered by OpenStack® technology and developed with an emphasis on automation and ease-of-use, HP Helion CloudSystem redefines how you build and manage cloud services.
Learn how when an organizations combine HP and Vertica Analytics Platform and Hortonworks, they can quickly explore and analyze broad variety of data types to transform to actionable information that allows them to better understand how their customers and site visitors interact with their business, offline and online.
Better Total Value of Ownership (TVO) for Complex Analytic Workflows with the...ModusOptimum
Customers are looking for ways to streamline analytic decisioning, looking for quicker deployments, faster time to value, lower risks of failure and higher revenues/profits. The IBM & Hortonworks solution delivers on these customer needs.
https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&eventid=1789452&sessionid=1&eventid=1789452&sessionid=1&mode=preview&key=E0F94DE1191C59223B6522A075023215
Similar to DPW Amsterdam 2022: TealBook Supplier Data Platform (20)
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.