DPW Amsterdam 2022: TealBook Supplier Data Platform KatherineMcCleery
Moderated by Elouise Epstein, Partner at Kearney: TealBook Founder + CEO, Stephany Lapierre, presents with Albemarle VP of Global Procurement, Tim Herrod.
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.
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.
Trust Your Supplier - trust your product in the supply chain Mohan Venkataraman
Presented at BiTA Symposium 2020. The presentation talks about Trust Your Supplier - A blockchain based supplier qualification and identity platform, how it was overlay-ed and integrated with IBM Sterling Commerce platform to qualify suppliers during the Covid-19 pandemic. It also talks about trusting your product in the supply chain using IoT, ML, Digital Identity and Smart Tags.
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
Slides: Why You Need End-to-End Data Quality to Build Trust in KafkaDATAVERSITY
This document discusses the need for end-to-end data quality when using Apache Kafka to build trust in streaming data. It outlines common challenges organizations face when adopting Kafka like inability to monitor data or identify issues. The Infogix Data360 platform provides data quality validation, balancing, and reconciliation across the full data pipeline from source to consumption to ensure trust in streaming data. It features over 100 predefined rules and capabilities to handle data quality for streaming, batch, and hybrid use cases.
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...IngridBuenaventura
Building data as a product: The key to unlocking Data Mesh's potential
Data as a product is an exciting concept. It brings product thinking into datasets and facilitates data driven culture by encouraging teams to share data rather than data being in a silo. Once we are convinced with the philosophy of data as a product then there is an immediate question of how to build them?
In this talk we will uncover ways to design and architect data as a product that meets the needs of a business use case. We will also discuss creating a blueprint for better resiliency via contracts and service level objectives.
Speakers: Harmeet Sokhi, Lead Data Consultant, Thoughtworks and Vishal Srivastava, Senior Data Engineer, Thoughtworks
Harmeet has extensive experience in Cloud, data engineering and machine learning operations. She has worked on designing large enterprise-scale data applications and has also implemented mature machine learning engineering solutions for clients in several industries. She is always in the pursuit of learning and keeps herself current in the ever-changing technology landscape. She is an experienced team leader who helps address challenges, both technical and non-technical, to deliver highly credible results.
Vishal is a Senior Data Engineer with DevOps skills who has worked across a range of industries. He has experience in establishing cloud infrastructure foundations, event-driven data lake, data visualisation, master data management, data quality and data governance frameworks. He is passionate about real time event driven distributed systems. Vishal has used these experiences to enable use cases which help businesses realise real value from data.
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.
DPW Amsterdam 2022: TealBook Supplier Data Platform KatherineMcCleery
Moderated by Elouise Epstein, Partner at Kearney: TealBook Founder + CEO, Stephany Lapierre, presents with Albemarle VP of Global Procurement, Tim Herrod.
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.
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.
Trust Your Supplier - trust your product in the supply chain Mohan Venkataraman
Presented at BiTA Symposium 2020. The presentation talks about Trust Your Supplier - A blockchain based supplier qualification and identity platform, how it was overlay-ed and integrated with IBM Sterling Commerce platform to qualify suppliers during the Covid-19 pandemic. It also talks about trusting your product in the supply chain using IoT, ML, Digital Identity and Smart Tags.
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
Slides: Why You Need End-to-End Data Quality to Build Trust in KafkaDATAVERSITY
This document discusses the need for end-to-end data quality when using Apache Kafka to build trust in streaming data. It outlines common challenges organizations face when adopting Kafka like inability to monitor data or identify issues. The Infogix Data360 platform provides data quality validation, balancing, and reconciliation across the full data pipeline from source to consumption to ensure trust in streaming data. It features over 100 predefined rules and capabilities to handle data quality for streaming, batch, and hybrid use cases.
By Thoughtworks | Building data as a product: The key to unlocking Data Mesh'...IngridBuenaventura
Building data as a product: The key to unlocking Data Mesh's potential
Data as a product is an exciting concept. It brings product thinking into datasets and facilitates data driven culture by encouraging teams to share data rather than data being in a silo. Once we are convinced with the philosophy of data as a product then there is an immediate question of how to build them?
In this talk we will uncover ways to design and architect data as a product that meets the needs of a business use case. We will also discuss creating a blueprint for better resiliency via contracts and service level objectives.
Speakers: Harmeet Sokhi, Lead Data Consultant, Thoughtworks and Vishal Srivastava, Senior Data Engineer, Thoughtworks
Harmeet has extensive experience in Cloud, data engineering and machine learning operations. She has worked on designing large enterprise-scale data applications and has also implemented mature machine learning engineering solutions for clients in several industries. She is always in the pursuit of learning and keeps herself current in the ever-changing technology landscape. She is an experienced team leader who helps address challenges, both technical and non-technical, to deliver highly credible results.
Vishal is a Senior Data Engineer with DevOps skills who has worked across a range of industries. He has experience in establishing cloud infrastructure foundations, event-driven data lake, data visualisation, master data management, data quality and data governance frameworks. He is passionate about real time event driven distributed systems. Vishal has used these experiences to enable use cases which help businesses realise real value from data.
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.
BIG Data & Hadoop Applications in LogisticsSkillspeed
Explore the applications of BIG Data & Hadoop in Logistics via Skillspeed.
BIG Data & Hadoop in Logistics is a key differentiator, especially in terms of optimizing back-end operations. They are used by companies for delivery optimization, demand & inventory forecasting and simplifying distribution networks.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
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.
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
Information Builders provides the industry’s most scalable software solutions for data management and analytics. We help organizations operationalize and monetize their data through insights that drive action. Our integrated platform for BI, analytics, data integration, and data quality, combined with our proven expertise, delivers value faster, with less risk. We believe data and analytics are the drivers of digital transformation, and we’re on a mission to help our customers capitalize on new opportunities in the connected world. Information Builders is headquartered in New York, NY, with global offices, and remains one of the largest privately held companies in the industry.
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...Precisely
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
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.
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.
Analytics in the Cloud and the ROI for B2BVeronica Kirn
Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Webinar: Building a Multi-Cloud Strategy with Data Autonomy featuring 451 Res...DataStax
Data autonomy goes hand-in-hand with building a powerful, multi-cloud data management strategy. Enterprises today are rethinking their data management tactics in light of what they can achieve with the correct usage of the public clouds. In this on-demand webcast, guest speaker James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research, discussed how enterprises are getting valuable data autonomy and building game-changing multi-cloud database management strategies.
View recording: https://youtu.be/RMoEaATgGO8
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
[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.
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.
This document discusses Klarna Tech Talk on managing data. It provides an overview of IBM's data integration, governance, and big data capabilities. IBM states it can help clients turn information into insights, deepen engagement, enable agile business, accelerate innovation, deliver enterprise mobility, optimize infrastructure, and manage risk through technology innovations like big data analytics, security intelligence, cloud computing, and mobile solutions. The document promotes IBM's data fabric and smart data solutions for integrating, governing, and providing access to data across an organization.
Accelerate Cloud Migrations and Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3N46zxX
Cloud migration brings scalability and flexibility, and often reduced cost to organizations. But even after moving to the cloud, more often than not, organizational data can be found to be siloed, hard to access and lacking centralized governance. That leads to delay and often missed opportunities in value creation from enterprise data. Join Amit Mody, Senior Manager at Accenture, in this keynote session to learn why current physical data architectures are hindrance to value creation from data, what is a logical data fabric powered by data virtualization and how a logical data fabric can unlock the value creation potential for enterprises.
The document discusses a new data pipeline called Progress DataDirect Hybrid Data Pipeline. It transforms how clouds access data by providing firewall-friendly and secure connectivity to on-premises and other cloud data sources. It acts as a single interface to various cloud APIs and exposes data sources as standard SQL and REST. This allows for expanded connectivity options and helps solve challenges around hybrid cloud integration and accessing data located in different environments or clouds.
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
451 Research + NuoDB: What It Means to be a Container-Native SQL DatabaseNuoDB
This document discusses how traditional SQL databases anchor enterprises to the past and hinder digital transformation efforts. It introduces NuoDB as a container-native SQL database that can be fully deployed within container platforms. NuoDB addresses limitations of traditional and NoSQL databases by providing elastic SQL, ACID compliance, zero downtime, and horizontal scalability while running in containers on commodity hardware and clouds.
BIG Data & Hadoop Applications in E-CommerceSkillspeed
Explore the applications of BIG Data & Hadoop in eCommerce via Skillspeed.
BIG Data & Hadoop in eCommerce is a key differentiator, especially in terms of generating optimized customer & back-end experiences. They are used for tracking consumer behavior, optimizing logistics networks and forecasting demand - inventory cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
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).
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Business is not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions in their business
This session will take a deep dive into current challenges business are having today and how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL data stores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and Bigstep.
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.
BIG Data & Hadoop Applications in LogisticsSkillspeed
Explore the applications of BIG Data & Hadoop in Logistics via Skillspeed.
BIG Data & Hadoop in Logistics is a key differentiator, especially in terms of optimizing back-end operations. They are used by companies for delivery optimization, demand & inventory forecasting and simplifying distribution networks.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
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.
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
Information Builders provides the industry’s most scalable software solutions for data management and analytics. We help organizations operationalize and monetize their data through insights that drive action. Our integrated platform for BI, analytics, data integration, and data quality, combined with our proven expertise, delivers value faster, with less risk. We believe data and analytics are the drivers of digital transformation, and we’re on a mission to help our customers capitalize on new opportunities in the connected world. Information Builders is headquartered in New York, NY, with global offices, and remains one of the largest privately held companies in the industry.
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...Precisely
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
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.
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.
Analytics in the Cloud and the ROI for B2BVeronica Kirn
Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Webinar: Building a Multi-Cloud Strategy with Data Autonomy featuring 451 Res...DataStax
Data autonomy goes hand-in-hand with building a powerful, multi-cloud data management strategy. Enterprises today are rethinking their data management tactics in light of what they can achieve with the correct usage of the public clouds. In this on-demand webcast, guest speaker James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research, discussed how enterprises are getting valuable data autonomy and building game-changing multi-cloud database management strategies.
View recording: https://youtu.be/RMoEaATgGO8
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
[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.
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.
This document discusses Klarna Tech Talk on managing data. It provides an overview of IBM's data integration, governance, and big data capabilities. IBM states it can help clients turn information into insights, deepen engagement, enable agile business, accelerate innovation, deliver enterprise mobility, optimize infrastructure, and manage risk through technology innovations like big data analytics, security intelligence, cloud computing, and mobile solutions. The document promotes IBM's data fabric and smart data solutions for integrating, governing, and providing access to data across an organization.
Accelerate Cloud Migrations and Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3N46zxX
Cloud migration brings scalability and flexibility, and often reduced cost to organizations. But even after moving to the cloud, more often than not, organizational data can be found to be siloed, hard to access and lacking centralized governance. That leads to delay and often missed opportunities in value creation from enterprise data. Join Amit Mody, Senior Manager at Accenture, in this keynote session to learn why current physical data architectures are hindrance to value creation from data, what is a logical data fabric powered by data virtualization and how a logical data fabric can unlock the value creation potential for enterprises.
The document discusses a new data pipeline called Progress DataDirect Hybrid Data Pipeline. It transforms how clouds access data by providing firewall-friendly and secure connectivity to on-premises and other cloud data sources. It acts as a single interface to various cloud APIs and exposes data sources as standard SQL and REST. This allows for expanded connectivity options and helps solve challenges around hybrid cloud integration and accessing data located in different environments or clouds.
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
451 Research + NuoDB: What It Means to be a Container-Native SQL DatabaseNuoDB
This document discusses how traditional SQL databases anchor enterprises to the past and hinder digital transformation efforts. It introduces NuoDB as a container-native SQL database that can be fully deployed within container platforms. NuoDB addresses limitations of traditional and NoSQL databases by providing elastic SQL, ACID compliance, zero downtime, and horizontal scalability while running in containers on commodity hardware and clouds.
BIG Data & Hadoop Applications in E-CommerceSkillspeed
Explore the applications of BIG Data & Hadoop in eCommerce via Skillspeed.
BIG Data & Hadoop in eCommerce is a key differentiator, especially in terms of generating optimized customer & back-end experiences. They are used for tracking consumer behavior, optimizing logistics networks and forecasting demand - inventory cycles.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
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).
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Business is not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions in their business
This session will take a deep dive into current challenges business are having today and how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL data stores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and Bigstep.
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.
"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."
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!
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
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.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
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
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.
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