Big Data Day LA 2016 Keynote - Jeanne Holm/ City of LA

•

0 j'aime•290 vues

Data Con LA

Big Data Day LA 2016 Keynote - Jeanne Holm, Deputy CIO & Assistant General Manager for City of Los Angeles

Technologie

+
How Open Data is Changing
Los Angeles
Jeanne Holm
Deputy CIO, City of Los Angeles
July 9, 2016
@JeanneHolm
Jeanne.holm@lacity.org

+
https://crowdsourcing-toolkit.sites.usa.gov/

+
Crowdsourcing Earthquake
Detection via Twitter

A Global Movement
Has Begun to Provide
Transparency and
Democratization of
Data

+
Releasing and using
open data is about
empowering people to
make better decisions

Contenu connexe

Plus de Data Con LA

Data Con LA 2022 Keynotes

Data Con LA

Data Con LA 2022 Keynote

Data Con LA

Data Con LA 2022 - Startup Showcase

Data Con LA

Data Con LA 2022 Keynote

Data Con LA

Mike Limcaco, Analytics Specialist / Customer Engineer at Google Measure trends in a particular topic or search term across Google Search across the US down to the city-level. Integrate these data signals into analytic pipelines to drive product, retail, media (video, audio, digital content) recommendations tailored to your audience segment. We'll discuss how Google unique datasets can be used with Google Cloud smart analytic services to process, enrich and surface the most relevant product or content that matches the ever-changing interests of your local customer segment.

Data Con LA 2022 - Using Google trends data to build product recommendations

Data Con LA

Melinda Thielbar, Data Science Practice Lead and Director of Data Science at Fidelity Investments From corporations to governments to private individuals, most of the AI community has recognized the growing need to incorporate ethics into the development and maintenance of AI models. Much of the current discussion, though, is meant for leaders and managers. This talk is directed to data scientists, data engineers, ML Ops specialists, and anyone else who is responsible for the hands-on, day-to-day of work building, productionalizing, and maintaining AI models. We'll give a short overview of the business case for why technical AI expertise is critical to developing an AI Ethics strategy. Then we'll discuss the technical problems that cause AI models to behave unethically, how to detect problems at all phases of model development, and the tools and techniques that are available to support technical teams in Ethical AI development.

Data Con LA 2022 - AI Ethics

Data Con LA

Antje Barth, Principal Developer Advocate, AI/ML at AWS & Chris Fregly, Principal Engineer, AI & ML at AWS The frequency and severity of natural disasters are increasing. In response, governments, businesses, nonprofits, and international organizations are placing more emphasis on disaster preparedness and response. Many organizations are accelerating their efforts to make their data publicly available for others to use. Repositories such as the Registry of Open Data on AWS and Humanitarian Data Exchange contain troves of data available for use by developers, data scientists, and machine learning practitioners. In this session, see how a community of developers came together though the AWS Disaster Response hackathon to build models to support natural disaster preparedness and response.

Data Con LA 2022 - Improving disaster response with machine learning

Data Con LA

Sig Narvaez, Executive Solution Architect at MongoDB MongoDB is now a Developer Data Platform. Come learn whatï¿½s new in the 6.0 release and Atlas following all the recent announcements made at MongoDB World 2022. Topics will include - Atlas Search which combines 3 systems into one (database, search engine, and sync mechanisms) letting you focus on your product's differentiation. - Atlas Data Federation to seamlessly query, transform, and aggregate data from one or more MongoDB Atlas databases, Atlas Data Lake and AWS S3 buckets - Queryable Encryption lets you run expressive queries on fully randomized encrypted data to meet the most stringent security requirements - Relational Migrator which analyzes your existing relational schemas and helps you design a new MongoDB schema. - And more!

Data Con LA 2022 - What's new with MongoDB 6.0 and Atlas

Data Con LA

Jaysen Gillespie, Head of Analytics and Data Science at RTB House 1. Shopkick has over 30M downloads, but the userbase is very heterogeneous. Anecdotal evidence indicated a wide variety of users for whom the app holds long-term appeal. 2. Marketing and other teams challenged Analytics to get beyond basic summary statistics and develop a holistic segmentation of the userbase. 3. Shopkick's data science team used SQL and python to gather data, clean data, and then perform a data-driven segmentation using a k-means algorithm. 4. Interpreting the results is more work -- and more fun -- than running the algo itself. We'll discuss how we transform from ""segment 1"", ""segment 2"", etc. to something that non-analytics users (Marketing, Operations, etc.) could actually benefit from. 5. So what? How did team across Shopkick change their approach given what Analytics had discovered.

Data Con LA 2022 - Real world consumer segmentation

Data Con LA

Ravi Pillala, Chief Data Architect & Distinguished Engineer at Intuit TurboTax is one of the well known consumer software brand which at its peak serves 385K+ concurrent users. In this session, We start with looking at how user behavioral data & tax domain events are captured in real time using the event bus and analyzed to drive real time personalization with various TurboTax data pipelines. We will also look at solutions performing analytics which make use of these events, with the help of Kafka, Apache Flink, Apache Beam, Spark, Amazon S3, Amazon EMR, Redshift, Athena and Amazon lambda functions. Finally, we look at how SageMaker is used to create the TurboTax model to predict if a customer is at risk or needs help.

Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...

Data Con LA

Data Con LA 2022 - Moving Data at Scale to AWS

Data Con LA

Anand Ranganathan, Chief AI Officer at Unscrambl Conversational AI is getting more and more widely used for customer support and employee support use-cases. In this session, I'm going to talk about how it can be extended for data analysis and data science use-cases ... i.e., how users can interact with a bot to ask analytical questions on data in relational databases. This allows users to explore complex datasets using a combination of text and voice questions, in natural language, and then get back results in a combination of natural language and visualizations. Furthermore, it allows collaborative exploration of data by a group of users in a channel in platforms like Microsoft Teams, Slack or Google Chat. For example, a group of users in a channel can ask questions to a bot in plain English like ""How many cases of Covid were there in the last 2 months by state and gender"" or ""Why did the number of deaths from Covid increase in May 2022"", and jointly look at the results that come back. This facilitates data awareness, data-driven collaboration and joint decision making among teams in enterprises and outside. In this talk, I'll describe how we can bring together various features including natural-language understanding, NL-to-SQL translation, dialog management, data story-telling, semantic modeling of data and augmented analytics to facilitate collaborate exploration of data using conversational AI.

Data Con LA 2022 - Collaborative Data Exploration using Conversational AI

Data Con LA

Anil Inamdar, VP & Head of Data Solutions at Instaclustr The most modernized enterprises utilize polyglot architecture, applying the best-suited database technologies to each of their organization's particular use cases. To successfully implement such an architecture, though, you need a thorough knowledge of the expansive NoSQL data technologies now available. Attendees of this Data Con LA presentation will come away with: -- A solid understanding of the decision-making process that should go into vetting NoSQL technologies and how to plan out their data modernization initiatives and migrations. -- They will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more. -- Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they'll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as â€œopen source,"" but are driven by a business model that hinges on achieving proprietary lock-in. -- Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.

Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...

Data Con LA

Zia Khan, Computer Systems Analyst and Data Scientist at LearningFuze Data Science tutorial is designed for people who are new to Data Science. This is a beginner level session so no prior coding or technical knowledge is required. Just bring your laptop with WiFi capability. The session starts with a review of what is data science, the amount of data we generate and how companies are using that data to get insight. We will pick a business use case, define the data science process, followed by hands-on lab using python and Jupyter notebook. During the hands-on portion we will work with pandas, numpy, matplotlib and sklearn modules and use a machine learning algorithm to approach the business use case.

Data Con LA 2022 - Intro to Data Science

Data Con LA

Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment

Data Con LA

Curtis ODell, Global Director Data Integrity at Tricentis Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management toolsâ€”one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented. Key Learning Objective 1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance 2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage 3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this. 4. How this approach has impact in your vertical

Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...

Data Con LA

Arif Ansari, Professor at University of Southern California Super Bowl Ad cost $7 million and each year a few Super Bowl ads go viral. The traditional A/B testing does not predict virality. Some highly shared ones reach over 60 million organic views, which can be more valuable than views on TV. Not only are these voluntary, but they are typically without distraction, and win viewer engagement in the form of likes, comments, or shares. A Super Bowl ad that wins 69 million views on YouTube (e.g., Alexa Mind Reader) costs less than 10 cents per quality view! However, the challenge is triggering virality. We developed a method to predict virality and engineer virality into Ads. 1. Prof. Gerard J. Tellis and co-authors recommended that advertisers use YouTube to tease, test, and tweak (TTT) their ads to maximize sharing and viewing. 2022 saw that maxim put into practice. 2. We developed viral Ads prediction using two scientific models: a. Prof. Gerard Tellis et al.'s model for viral prediction b. Deep Learning viral prediction using social media effect 3. The model was able to identify all the top 15 Viral Ads it performed better than the traditional agencies. 4. New proposed method is Tease, Test, Tweak, Target and Spots Ad.

Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...

Data Con LA

Jai Bansal, Senior Manager, Data Science at Aetna This talk describes an internal data product called Member Embeddings that facilitates modeling of member medical journeys with machine learning. Medical claims are the key data source we use to understand health journeys at Aetna. Claims are the data artifacts that result from our members' interactions with the healthcare system. Claims contain data like the amount the provider billed, the place of service, and provider specialty. The primary medical information in a claim is represented in codes that indicate the diagnoses, procedures, or drugs for which a member was billed. These codes give us a semi-structured view into the medical reason for each claim and so contain rich information about members' health journeys. However, since the codes themselves are categorical and high-dimensional (10K cardinality), it's challenging to extract insight or predictive power directly from the raw codes on a claim. To transform claim codes into a more useful format for machine learning, we turned to the concept of embeddings. Word embeddings are widely used in natural language processing to provide numeric vector representations of individual words. We use a similar approach with our claims data. We treat each claim code as a word or token and use embedding algorithms to learn lower-dimensional vector representations that preserve the original high-dimensional semantic meaning. This process converts the categorical features into dense numeric representations. In our case, we use sequences of anonymized member claim diagnosis, procedure, and drug codes as training data. We tested a variety of algorithms to learn embeddings for each type of claim code. We found that the trained embeddings showed relationships between codes that were reasonable from the point of view of subject matter experts. In addition, using the embeddings to predict future healthcare-related events outperformed other basic features, making this tool an easy way to improve predictive model performance and save data scientist time.

Data Con LA 2022- Embedding medical journeys with machine learning to improve...

Data Con LA

Jie Chen, Manager Advisory, KPMG Data is the new oil. However, many organizations have fragmented data in siloed line of businesses. In this topic, we will focus on identifying the legacy patterns and their limitations and introducing the new patterns packed by Kafka's core design ideas. The goal is to tirelessly pursue better solutions for organizations to overcome the bottleneck in data pipelines and modernize the digital assets for ready to scale their businesses. In summary, we will walk through three uses cases, recommend Dos and Donts, Take aways for Data Engineers, Data Scientist, Data architect in developing forefront data oriented skills.

Data Con LA 2022 - Data Streaming with Kafka

Data Con LA

Xuanzi Han, Senior Software Engineer at Monte Carlo For modern data teams, lineage is a critical component of the data pipeline root cause and impact analysis workflow, as well as a means of ensuring that data, models, and other data assets are healthy and reliable. That being said, the complexity of SQL queries can make it challenging to build lineage manually, particularly at the field level. Xuanzi Han, a member of Monte Carlo's data and product teams, tackled this challenge head-on by leveraging some of the most popular tools in the modern data stack, including dbt, Airflow, Snowflake, and ANother Tool for Language Recognition (ANTLR). In this talk, they share how they designed the data model, query parser, and larger database design for field-level lineage, highlighting learnings, wrong turns, and best practices developed along the way.

Data Con LA 2022 - Building Field-level Lineage from Scratch for Modern Data ...

Data Con LA

Plus de Data Con LA (20)

Data Con LA 2022 Keynotes

Data Con LA 2022 Keynote

Data Con LA 2022 - Startup Showcase

Data Con LA 2022 Keynote

Data Con LA 2022 - Using Google trends data to build product recommendations

Data Con LA 2022 - AI Ethics

Data Con LA 2022 - Improving disaster response with machine learning

Data Con LA 2022 - What's new with MongoDB 6.0 and Atlas

Data Con LA 2022 - Real world consumer segmentation

Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...

Data Con LA 2022 - Moving Data at Scale to AWS

Data Con LA 2022 - Collaborative Data Exploration using Conversational AI

Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...

Data Con LA 2022 - Intro to Data Science

Data Con LA 2022 - How are NFTs and DeFi Changing Entertainment

Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...

Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...

Data Con LA 2022- Embedding medical journeys with machine learning to improve...

Data Con LA 2022 - Data Streaming with Kafka

Data Con LA 2022 - Building Field-level Lineage from Scratch for Modern Data ...

Dernier

🐬 The future of MySQL is Postgres 🐘

RTylerCroy

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

wesley chun

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

A Principled Technologies deployment guide Conclusion Deploying VMware Cloud Foundation 5.1 on next gen Dell PowerEdge servers brings together critical virtualization capabilities and high-performing hardware infrastructure. Relying on our hands-on experience, this deployment guide offers a comprehensive roadmap that can guide your organization through the seamless integration of advanced VMware cloud solutions with the performance and reliability of Dell PowerEdge servers. In addition to the deployment efficiency, the Cloud Foundation 5.1 and PowerEdge solution delivered strong performance while running a MySQL database workload. By leveraging VMware Cloud Foundation 5.1 and PowerEdge servers, you could help your organization embrace cloud computing with confidence, potentially unlocking a new level of agility, scalability, and efficiency in your data center operations.

Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...

Principled Technologies

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

apidays

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

Manulife - Insurer Innovation Award 2024

The Digital Insurer

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

DianaGray10

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

Automating Google Workspace (GWS) & more with Apps Script

wesley chun

presentation ICT roal in 21st century education

jfdjdjcjdnsjd

Real Time Object Detection Using Open CV

Khem

Dernier (20)

🐬 The future of MySQL is Postgres 🐘

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Artificial Intelligence Chap.5 : Uncertainty

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Powerful Google developer tools for immediate impact! (2023-24 C)

Why Teams call analytics are critical to your entire business

Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Exploring the Future Potential of AI-Enabled Smartphone Processors

Data Cloud, More than a CDP by Matt Robison

Manulife - Insurer Innovation Award 2024

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Automating Google Workspace (GWS) & more with Apps Script

presentation ICT roal in 21st century education

Real Time Object Detection Using Open CV