Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
The document outlines the 2021 finalists for the annual Data Impact Awards program, which recognizes organizations using Cloudera's platform and the impactful applications they have developed. It provides details on the challenges, solutions, and outcomes for each finalist project in the categories of Data Lifecycle Connection, Cloud Innovation, Data for Enterprise AI, Security & Governance Leadership, Industry Transformation, People First, and Data for Good. There are multiple finalists highlighted in each category demonstrating innovative uses of data and analytics.
The Transformation of your Data in modern IT (Presented by DellEMC)Cloudera, Inc.
Organizations have a wealth of data contained within the existing infrastructures. At DellEMC we’re helping customers remove the barriers of legacy datastores and transforming the customer experience in the modern datacentre. Learn how to unshackle the valuable data inside your existing data warehouse, leverage new techniques, applications and technology to enhance the financial impact of all your data sources
The Vortex of Change - Digital Transformation (Presented by Intel)Cloudera, Inc.
The vortex of change continues all around us – inside the company, with our customers and partners. A new norm is upon us. Business models are being turned upside down – the hunters now the hunted, global equalization – size is no longer a guarantee of success. The innovative survive and thrive…the nervous and slow go under...what does all this change means for you? Find out how does Intel’s strengths help our customers in this world of change.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Driving Better Products with Customer Intelligence Cloudera, Inc.
In today’s fast moving world, the ability to capture and process massive amounts of data and make valuable insights is key to gaining a competitive advantage. For RingCentral, a leader in Unified Communications, this is very true since they work with over 350,000 organizations worldwide. With such scale, it can be difficult to address quality issues when they appear while supporting additional calls.
Get Started with Cloudera’s Cyber SolutionCloudera, Inc.
Cloudera empowers cybersecurity innovators to proactively secure the enterprise by accelerating threat detection, investigation, and response through machine learning and complete enterprise visibility. Cloudera’s cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform. But what’s the easiest way to get started?
Join Cloudera, StreamSets, and Arcadia Data as we show you first hand how we have made it easier to get your first use case up and running. During this session you will learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
3 things to learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
Turning Data into Business Value with a Modern Data PlatformCloudera, Inc.
The document discusses how data has become a strategic asset for businesses and how a modern data platform can help organizations drive customer insights, improve products and services, lower business risks, and modernize IT. It provides examples of companies using analytics to personalize customer solutions, detect sepsis early to save lives, and protect the global finance system. The document also outlines the evolution of Hadoop platforms and how Cloudera Enterprise provides a common workload pattern to store, process, and analyze data across different workloads and databases in a fast, easy, and secure manner.
To disrupt and innovate, you need access to data. All of your data. The challenge for many organisations is that the data they need is locked away in a variety of silos. And there's perhaps no bigger silo than one of the most a widely deployed business application: SAP. Bringing together all your data for analytics and machine learning unlocks new insights and business value. Together, Cloudera and Datavard hold the key to breaking SAP data out of its silo, providing access to unlimited and untapped opportunities that currently lay hidden.
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...Cloudera, Inc.
Maschinelles Lernen und Analyseanwendungen explodieren im Unternehmen und ermöglichen Anwendungsfällen in Bereichen wie vorbeugende Wartung, Bereitstellung neuer, wünschenswerter Produktangebote für Kunden zum richtigen Zeitpunkt und Bekämpfung von Insider-Bedrohungen für Ihr Unternehmen.
The document discusses how Cloudera helps customers with their data and analytics journeys. It recommends that customers (1) build a data-driven culture, (2) assemble the right cross-functional team, and (3) adopt an agile approach to data projects by starting small and iterating often. Successful customers operationalize insights efficiently and implement data governance appropriately for their needs and maturity.
Building a Modern Analytic Database with Cloudera 5.8Cloudera, Inc.
This document discusses building a modern analytic database with Cloudera. It outlines Marketing Associates' evaluation of solutions to address challenges around managing massive and diverse data volumes. They selected Cloudera Enterprise to enable self-service BI and real-time analytics at lower costs than traditional databases. The solution has provided scalability, cost savings of over 90%, and improved security and compliance. Future roadmaps for Cloudera's analytic database include faster SQL, improved multitenancy, and deeper BI tool integration.
Advanced Analytics for Investment Firms and Machine LearningCloudera, Inc.
Learn how Cloudera Data Science Workbench helps you to:
Accelerate analytics projects from data exploration to production
Create a self-service data science platform
Deploy your models faster and share them with other data scientists
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformCloudera, Inc.
The document discusses building multi-disciplinary analytics applications on a shared data platform. It describes challenges with traditional fragmented approaches using multiple data silos and tools. A shared data platform with Cloudera SDX provides a common data experience across workloads through shared metadata, security, and governance services. This approach optimizes key design goals and provides business benefits like increased insights, agility, and decreased costs compared to siloed environments. An example application of predictive maintenance is given to improve fleet performance.
Strategies for Enterprise Grade Azure-based AnalyticsCloudera, Inc.
Over the past decade, big data implementations have been more sophisticated in particular for organizations operationalizing machine learning, analytics and data engineering. The pressures of data-driven cultures, multiple workload applications such as customer care, fraud management and cross-platform marketing are changing the game. Mixing machine learning with business processes and operationalizing analytics with data engineering practices places burdens on IT teams. Making these advanced data environments all work together is an ongoing challenge.
While you can still “swipe and go” to implement data management environments in the cloud for an easy solution, the easy path is often littered with additional costs, higher overhead in terms of maintenance and synchronization. Data savvy organizations are taking a more measured and coordinated approach to their machine learning, analytics and data engineering infrastructures. These proactive approaches speed adoption among business stakeholders and lower administration and governance issues for technologists.
Join John L Myers, managing research director at leading IT analyst firm Enterprise Management Associates (EMA), and Nik Rouda, director of product marketing at Cloudera, to discover how the world of cloud implementations have changed for the better and the future of an enterprise grade cloud environment for your organization using the right resources.
Attend this webinar to learn about:
Drivers for implementing machine learning, analytics and data engineering with a proactive approach
Pitfalls associated with “immediate gratification” implementations
How business stakeholders benefit from proactive approaches
How proactive implementations improve the workloads of technologists
Examples of real world customer implementations
3 things to learn:
Drivers for implementing machine learning, analytics and data engineering with a proactive approach
Pitfalls associated with “immediate gratification” implementations
How business stakeholders benefit from proactive approaches
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Webinar: DataStax and Microsoft Azure: Empowering the Right-Now Enterprise wi...DataStax
This document discusses the partnership between DataStax and Microsoft Azure to empower enterprises with real-time applications in the cloud. It outlines how hybrid cloud is a strategic imperative, and how the DataStax Enterprise platform combined with Azure provides a hybrid cloud data platform for always-on applications. Examples are given of Microsoft Office 365, Komatsu, and IHS Markit using this solution to power use cases and gain benefits like increased performance, scalability, and cost savings.
In this document, we will present a very brief introduction to BigData (what is BigData?), Hadoop (how does Hadoop fits the picture?) and Cloudera Hadoop (what is the difference between Cloudera Hadoop and regular Hadoop?).
Please note that this document is for Hadoop beginners looking for a place to start.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Multi Cloud Data Integration- Manufacturing Industryalanwaler
Multi-cloud data management solutions can provide manufacturers, retailers, and logistics companies with real-time insights to make proactive decisions by connecting and transferring data at high speeds. These solutions offer scalable and flexible platforms for processing, analyzing, and storing industrial data efficiently while maintaining quality and supporting manufacturing systems. They also provide enhanced analytics, machine learning, and insights into operational efficiency that help manufacturers better understand and optimize their operations.
Joe Goldberg from BMC Software discusses how traditional data architectures are under pressure due to increasing data volumes from new sources like the internet of things. This makes it costly and complex to manage data and limits insights. The solution is adopting an enterprise data lake and big data ecosystem using Hadoop, which provides a single view of data across environments, self-service capabilities for users, and supports modern application delivery and analytics. Batch processing is commonly used to build and run workloads to extract business value from these modern data architectures.
This document discusses Cloudera's big data solutions and provides examples of how organizations have used Cloudera to optimize data and achieve business goals. It highlights Cloudera's large partner ecosystem and customer base across various industries. Specific use cases are presented on customer experience management, network optimization, and operational analytics. The document promotes Cloudera as enabling data-driven decisions, improved efficiencies, and new business opportunities through modern data architectures.
Consumption based analytics enabled by Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/2NM5Jtf
An eclectic mix of old and new data drives every decision and every interaction, but too many organisations are attempting unsuccessfully to consolidate this data into a single repository which is time-consuming, resource-intensive, expensive, and risky.
Join this Denodo and HCL Webinar to discover how data virtualization provides an effective modern day architecture and an alternative to data consolidation and the challenges of fragmented data ecosystems and traditional integration approaches. We will share stories and provide multiple perspectives on best practices and solutions.
Content will include:
- Business use cases that highlight challenges and solutions that result in faster time-to-market and greater ROI.
- Suggested approaches to achieve extreme agility for competitive advantage.
This document discusses building intelligent data lakes and the challenges of data-driven digital transformation. It outlines goals around engaging customers, optimizing operations, transforming products, and empowering employees. It then discusses the generational market disruption underway and challenges around data volume/velocity, new users, new data types, and data in the cloud. Key capabilities of modern data lake architectures are presented to address these challenges. The document recommends building a data catalog, using an abstraction layer, and choosing a tightly integrated platform. It provides an example customer, BICS, and their roadmap to migrate data storage/processing from Teradata to a hybrid platform.
This document summarizes a case study of how Intel, Flytxt, and Netweb Technologies collaborated to provide a big data analytics solution for a leading telecom service provider in India. The solution utilized Flytxt's NEON platform running on Intel Xeon processor-based servers from Netweb to analyze over 4 terabytes of daily subscriber data and enable highly personalized, real-time marketing campaigns. This transformed the customer experience and drove significant increases in key metrics like conversions, higher service plans, and average revenue per user.
Next Generation Data Center - IT TransformationDamian Hamilton
Computerworld CIO Event in Hong Kong sponsored by Dimension Data, EMC & Cisco.
Insights into Dimension Data's DC strategy and recent Client engagements
Data Con LA 2022 - Practical Solutions to Complex Supply Chain ProblemsData Con LA
The document provides examples of how data science can be applied to solve complex supply chain problems for customers. It discusses forecasting demand at a granular level for a spirits company, using machine learning to predict late shipments for a CPG company, and optimizing a distribution network for a durable goods company. The goal is to show how data science tools and services can help businesses address challenges in forecasting, logistics planning, and operations optimization.
Data warehouse modernization programme by TOBY WOOLFE at Big Data Spain 2014Big Data Spain
General Motors (GM) is in the process of constructing a single global information warehouse that will become the foundation for all business analytics and decision support across the enterprise.
Mindsphere: an open cloud-based IoT operating system for IndustryIIoTWorld
The document discusses MindSphere, an open cloud-based IoT operating system from Siemens for connecting industrial assets and extracting insights. It provides:
- An open platform as a service (PaaS) for scalable global IoT connectivity and application development through powerful APIs and tools for analytics and visualization.
- Plug-and-play connectivity to hardware and a stairway to value creation through responsive, proactive/predictive, and business-enhancing capabilities.
- End-to-end solutions examples including machine performance monitoring, energy monitoring for smart buildings, and digital twins across products, production and asset performance.
Read how Synoptek has proven to be an excellent partner for companies looking to streamline their business processes and improve their finance and operations.
Watch full webinar here: https://bit.ly/3dhbZTK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Watch this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
As government agencies continue to advance their digital transformation and improve the citizen digital experience, they are moving to new platforms. A successful digital transformation, and continued compliance with federal technology update mandates, such as Cloud First and the Modernizing Government Technology Act, involves embracing multiple cloud platforms. This has a ripple effect of streamlining agency operations and presenting a new and updated digital experience for citizens.
Our government agency speaker will outline how one agency moved operations to the cloud and the lessons they learned along the way.
During today’s webcast, you will learn:
- How cloud platforms can help improve the citizen digital experience
- How to architect a multi-cloud platform that makes sense for your agency
- Lessons learned by other government agencies and from private sector companies
Data & Analytic Innovations: 5 lessons from our customersNick Smith
Nick Smith, managing director at Informatica Australia & New Zealand presented at Chief Data and Analytics Officer Forum in March 2017. In this presentation, he revealed the 5 key lessons learned by Informatica's customers on their quest for data-driven innovation.
This document summarizes Democrance, a SaaS insurance technology platform. It provides white-label digitization of sales, distribution, servicing and administration for insurers. The platform offers out-of-the-box capabilities including distribution management, underwriting, billing/payments, data integration and analytics. It has powered growth and efficiencies for clients in multiple countries. Democrance's team has over 35 members with expertise in both technology and insurance.
Ensure Cloud Migration Success with Trusted DataPrecisely
Read any analyst report and you learn one thing –enterprises are migrating business data to the cloud. In working with our customers, we have found that data and analytics platforms built in the cloud are the foundation and accelerant for nearly every digital transformation strategy.
Our customers have told us that a significant pain point when moving to the cloud is their existing on-premises infrastructure. Many users struggle with integrating data from legacy on-premises systems due to complexity, unscalable infrastructure, and DevOps burdens.
View this on-demand webinar to explore how Precisely can support your organization in the transition to the cloud and ensure that moving from legacy systems to next-gen cloud platforms drives innovation, productivity, and business outcomes.
Ensure Cloud Migration Success with Trusted DataPrecisely
Read any analyst report and you learn one thing –enterprises are migrating business data to the cloud. In working with our customers, we have found that data and analytics platforms built in the cloud are the foundation and accelerant for nearly every digital transformation strategy.
Our customers have told us that a significant pain point when moving to the cloud is their existing on-premises infrastructure. Many users struggle with integrating data from legacy on-premises systems due to complexity, unscalable infrastructure, and DevOps burdens.
View this on-demand webinar to explore how Precisely can support your organization in the transition to the cloud and ensure that moving from legacy systems to next-gen cloud platforms drives innovation, productivity, and business outcomes.
Similar to 2020 Cloudera Data Impact Awards Finalists (20)
The document discusses using Cloudera DataFlow to address challenges with collecting, processing, and analyzing log data across many systems and devices. It provides an example use case of logging modernization to reduce costs and enable security solutions by filtering noise from logs. The presentation shows how DataFlow can extract relevant events from large volumes of raw log data and normalize the data to make security threats and anomalies easier to detect across many machines.
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
Cloudera Fast Forward Labs’ latest research report and prototype explore learning with limited labeled data. This capability relaxes the stringent labeled data requirement in supervised machine learning and opens up new product possibilities. It is industry invariant, addresses the labeling pain point and enables applications to be built faster and more efficiently.
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on Azure. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
In this webinar, we’ll show you how Cloudera SDX reduces the complexity in your data management environment and lets you deliver diverse analytics with consistent security, governance, and lifecycle management against a shared data catalog.
Get started with Cloudera's cyber solutionCloudera, Inc.
Cloudera empowers cybersecurity innovators to proactively secure the enterprise by accelerating threat detection, investigation, and response through machine learning and complete enterprise visibility. Cloudera’s cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform. But what’s the easiest way to get started?
Spark and Deep Learning Frameworks at Scale 7.19.18Cloudera, Inc.
We'll outline approaches for preprocessing, training, inference, and deployment across datasets (time series, audio, video, text, etc.) that leverage Spark, along with its extended ecosystem of libraries and deep learning frameworks using Cloudera's Data Science Workbench.
Cloud Data Warehousing with Cloudera Altus 7.24.18Cloudera, Inc.
This webinar will help you maximize the full potential of the cloud. Understand how to leverage cloud environments for different analytic workloads to empower business analysts and keep IT happy. An intricate, beautiful balance. The learn best practices in design, performance tuning, workload considerations, and hybrid or multi-cloud strategies.
Cloudera's big data platform can help organizations comply with the EU's General Data Protection Regulation (GDPR) in three key ways:
1. It provides a single system to securely store, govern, and manage all analytic workloads and personal data across on-premises, cloud, structured, and unstructured data sources.
2. Its shared services like data catalog, security, governance, and lifecycle management can be applied uniformly across the platform to meet GDPR principles like data minimization, storage limitation, and accuracy.
3. Specific capabilities like its GDPR data hub, consent management, and ability to delete individual data records upon request help automate key GDPR requirements at scale,
Multi task learning stepping away from narrow expert models 7.11.18Cloudera, Inc.
Join this webinar as Friederike Schüür covers:
A conceptual introduction to multi-task learning (MTL), how and why it works
A technical deep dive, from MTL random forests to MTL neural networks
Applications of MTL, from structured data to text and images
The benefits of MTL to organizations, from financial services to healthcare and agriculture
Cloudera training secure your cloudera cluster 7.10.18Cloudera, Inc.
Exclusively through Cloudera OnDemand, Cloudera Security Training introduces you to the tools and techniques that Cloudera's solution architects use to protect the clusters our customers rely on for critical machine learning and analytics workloads. This webinar will give you a sneak peek at our new on-demand security course and show you the immense scope of Cloudera training. From authentication and authorization to encryption, auditing, and everything in between, this course gives you the skills you need to properly secure your Cloudera cluster.
The 5 Biggest Data Myths in Telco: ExposedCloudera, Inc.
The document discusses common myths in the telecommunications industry regarding big data and analytics. It addresses five myths: 1) that data is too diverse to analyze, 2) that open source means open security, 3) that big data platforms do not provide adequate return on investment, 4) that big data tools are too difficult for teams to learn, and 5) that legacy systems cannot handle additional data solutions. For each myth, it provides facts and examples to demonstrate why the myths are unfounded and how organizations can leverage big data to drive insights.
Delivering improved patient outcomes through advanced analytics 6.26.18Cloudera, Inc.
Rush University Medical Center, along with Cloudera and MetiStream, talk about adopting a comprehensive and interactive analytic platform for improved patient outcomes and better genomic analysis, highlighting examples in both genomics and clinical notes. John Spooner of 451 Research provides context to the discussion and shares market insights that complement the customer stories.
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
Top 12 AI Technology Trends For 2024.pdfMarrie Morris
Technology has become an irreplaceable component of our daily lives. The role of AI in technology revolutionizes our lives for the betterment of the future. In this article, we will learn about the top 12 AI technology trends for 2024.
Choosing the Best Outlook OST to PST Converter: Key Features and Considerationswebbyacad software
When looking for a good software utility to convert Outlook OST files to PST format, it is important to find one that is easy to use and has useful features. WebbyAcad OST to PST Converter Tool is a great choice because it is simple to use for anyone, whether you are tech-savvy or not. It can smoothly change your files to PST while keeping all your data safe and secure. Plus, it can handle large amounts of data and convert multiple files at once, which can save you a lot of time. It even comes with 24*7 technical support assistance and a free trial, so you can try it out before making a decision. Whether you need to recover, move, or back up your data, Webbyacad OST to PST Converter is a reliable option that gives you all the support you need to manage your Outlook data effectively.
UiPath Community Day Amsterdam: Code, Collaborate, ConnectUiPathCommunity
Welcome to our third live UiPath Community Day Amsterdam! Come join us for a half-day of networking and UiPath Platform deep-dives, for devs and non-devs alike, in the middle of summer ☀.
📕 Agenda:
12:30 Welcome Coffee/Light Lunch ☕
13:00 Event opening speech
Ebert Knol, Managing Partner, Tacstone Technology
Jonathan Smith, UiPath MVP, RPA Lead, Ciphix
Cristina Vidu, Senior Marketing Manager, UiPath Community EMEA
Dion Mes, Principal Sales Engineer, UiPath
13:15 ASML: RPA as Tactical Automation
Tactical robotic process automation for solving short-term challenges, while establishing standard and re-usable interfaces that fit IT's long-term goals and objectives.
Yannic Suurmeijer, System Architect, ASML
13:30 PostNL: an insight into RPA at PostNL
Showcasing the solutions our automations have provided, the challenges we’ve faced, and the best practices we’ve developed to support our logistics operations.
Leonard Renne, RPA Developer, PostNL
13:45 Break (30')
14:15 Breakout Sessions: Round 1
Modern Document Understanding in the cloud platform: AI-driven UiPath Document Understanding
Mike Bos, Senior Automation Developer, Tacstone Technology
Process Orchestration: scale up and have your Robots work in harmony
Jon Smith, UiPath MVP, RPA Lead, Ciphix
UiPath Integration Service: connect applications, leverage prebuilt connectors, and set up customer connectors
Johans Brink, CTO, MvR digital workforce
15:00 Breakout Sessions: Round 2
Automation, and GenAI: practical use cases for value generation
Thomas Janssen, UiPath MVP, Senior Automation Developer, Automation Heroes
Human in the Loop/Action Center
Dion Mes, Principal Sales Engineer @UiPath
Improving development with coded workflows
Idris Janszen, Technical Consultant, Ilionx
15:45 End remarks
16:00 Community fun games, sharing knowledge, drinks, and bites 🍻
It's your unstructured data: How to get your GenAI app to production (and spe...Zilliz
So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy and PII. Our Service for RAG helps AI developers and data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi’s AI Data Loader cleans, prepares and then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily and accurately while giving you the time to focus on what you really want to do - building a great AI application with useful and relevant context. All within your environment and never having to share private corporate data with anyone - not even Aparavi.
Keynote : Presentation on SASE TechnologyPriyanka Aash
Secure Access Service Edge (SASE) solutions are revolutionizing enterprise networks by integrating SD-WAN with comprehensive security services. Traditionally, enterprises managed multiple point solutions for network and security needs, leading to complexity and resource-intensive operations. SASE, as defined by Gartner, consolidates these functions into a unified cloud-based service, offering SD-WAN capabilities alongside advanced security features like secure web gateways, CASB, and remote browser isolation. This convergence not only simplifies management but also enhances security posture and application performance across global networks and cloud environments. Discover how adopting SASE can streamline operations and fortify your enterprise's digital transformation strategy.
Cracking AI Black Box - Strategies for Customer-centric Enterprise ExcellenceQuentin Reul
The democratization of Generative AI is ushering in a new era of innovation for enterprises. Discover how you can harness this powerful technology to deliver unparalleled customer value and securing a formidable competitive advantage in today's competitive market. In this session, you will learn how to:
- Identify high-impact customer needs with precision
- Harness the power of large language models to address specific customer needs effectively
- Implement AI responsibly to build trust and foster strong customer relationships
Whether you're at the early stages of your AI journey or looking to optimize existing initiatives, this session will provide you with actionable insights and strategies needed to leverage AI as a powerful catalyst for customer-driven enterprise success.
The History of Embeddings & Multimodal EmbeddingsZilliz
Frank Liu will walk through the history of embeddings and how we got to the cool embedding models used today. He'll end with a demo on how multimodal RAG is used.
How UiPath Discovery Suite supports identification of Agentic Process Automat...DianaGray10
📚 Understand the basics of the newly persona-based LLM-powered Agentic Process Automation and discover how existing UiPath Discovery Suite products like Communication Mining, Process Mining, and Task Mining can be leveraged to identify APA candidates.
Topics Covered:
💡 Idea Behind APA: Explore the innovative concept of Agentic Process Automation and its significance in modern workflows.
🔄 How APA is Different from RPA: Learn the key differences between Agentic Process Automation and Robotic Process Automation.
🚀 Discover the Advantages of APA: Uncover the unique benefits of implementing APA in your organization.
🔍 Identifying APA Candidates with UiPath Discovery Products: See how UiPath's Communication Mining, Process Mining, and Task Mining tools can help pinpoint potential APA candidates.
🔮 Discussion on Expected Future Impacts: Engage in a discussion on the potential future impacts of APA on various industries and business processes.
Enhance your knowledge on the forefront of automation technology and stay ahead with Agentic Process Automation. 🧠💼✨
Speakers:
Arun Kumar Asokan, Delivery Director (US) @ qBotica and UiPath MVP
Naveen Chatlapalli, Solution Architect @ Ashling Partners and UiPath MVP
Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
DefCamp_2016_Chemerkin_Yury-publish.pdf - Presentation by Yury Chemerkin at DefCamp 2016 discussing mobile app vulnerabilities, data protection issues, and analysis of security levels across different types of mobile applications.
5. DATA IMPACT
ACHIEVEMENT AWARD
A new award category that recognizes one
customer who has consistently achieved
transformation across their business,
pursuing a diverse set of use cases and
creating a culture of data-driven
innovation
7. DATA CHAMPIONS
Organizations whose IT administration
provides the agility a business requires,
without putting the business at risk, and
embraces a pattern of technology adoption
that prioritizes speed
Read more
12. DATA FOR ENTERPRISE AI
Organizations that have built and deployed
systems for enterprise-scale machine
learning and have industrialized AI to
automate, secure, and standardize data-
driven decision making
Read more
17. CONNECT THE
DATA LIFECYCLE
Organizations that have tackled
transformative business use cases by
connecting multiple parts of the data
lifecycle to collect, enrich, secure, report,
serve, and predict
Read more
22. ENTERPRISE DATA CLOUD
Organizations that are driving business
innovation and agility by modernizing
their data architecture to unlock the
value from data anywhere - in the private
cloud or across hybrid and multiple
public clouds - Read more
27. DATA SECURITY &
GOVERNANCE
Organizations that have centralized
management, security, and governance of
their data and metadata policies, ensuring
consistent data lineage, and control
Read more
32. INDUSTRY TRANSFORMATION
Organizations that move their business to the
next level and disrupt their industry by
identifying new technologies, applying new
skills, and operationalizing processes
Read more
37. DATA FOR GOOD
Organizations that have tackled some of
the most challenging issues affecting
society and the planet, making what was
impossible yesterday possible today and
transforming the future
Read more