M&A prosposal to Warburg Pincus to spin out Convera Search assets. Ultimately Convera Search was acquired for $18M by FAST and served as basis of Microsoft acquisition of FAST for $600M.
With the tremendous growth of social networks, there has been a growth in the amount of new data that is being created every minute on these networking sites. The notion of community in this social networking world has caught lots of attention. Studying Twitter is useful for understanding how people use new communication technologies to form social connections and maintain existing ones. We analysed how geo-tagged tweets in Twitter can be used to identify useful user features and behavior as well as identify landmarks/places of interests. We also analysed several clustering algorithms and proposed different similarity measures to detect communities.
With the tremendous growth of social networks, there has been a growth in the amount of new data that is being created every minute on these networking sites. The notion of community in this social networking world has caught lots of attention. Studying Twitter is useful for understanding how people use new communication technologies to form social connections and maintain existing ones. We analysed how geo-tagged tweets in Twitter can be used to identify useful user features and behavior as well as identify landmarks/places of interests. We also analysed several clustering algorithms and proposed different similarity measures to detect communities.
This presentation covers data mining within artificial intelligence. Topics covered are as follows: motivation, synonym, process of data mining, operation of data mining, data mining techniques, business application, application selection, and current issues.
Data Virtualization for Accelerated Digital Transformation in Banking and Fin...Denodo
Watch full webinar here: https://bit.ly/37jIyzf
Presented at FST Media Future of Financial Services, Sydney (Australia)
Watch this session on-demand to understand how data virtualization helps finance companies to:
- Modernise their data infrastructure by providing a virtual approach to accessing, managing, and delivering data
- Implement a centralised governance framework and roll out security measures across the enterprise data infrastructure
- Integrate data from multiple sources to create a 360-degree view into customers’ changing needs and behaviours
To date the hype about Big Data has come from the perception that Big Data is the next frontier in gaining deeper insight into the customer, or an organization’s business. In the next decade, it is hoped (or hyped) that Big Data will be key to finding ways to better analyze, monetize, and capitalize on these information streams and integrate these insights into the business. It will be the age of Big Data.
But where else will Big Data have an impact?
For IT departments, Big Data represents a new set of requirements and supporting infrastructures, and will require a well thought-out approach to the datacenter network. The network will serve as the key backbone for the special communications and processing needs of Big Data. In preparation for this new era, Network Administrators should begin now to proactively plan for how to mitigate the latency and switch capacity issues that will arise from Big Data’s special needs.
Please join us for this presentation as we explore the implications of Big Data on the network.
Want to get involved in our big data/big content efforts? Direct Tweet me at jmancini77 -- I also did a blog post on this topic -- http://www.digitallandfill.org/2012/03/big-data-and-big-content-just-hype-or-a-real-opportunity.html
This presentation covers data mining within artificial intelligence. Topics covered are as follows: motivation, synonym, process of data mining, operation of data mining, data mining techniques, business application, application selection, and current issues.
Data Virtualization for Accelerated Digital Transformation in Banking and Fin...Denodo
Watch full webinar here: https://bit.ly/37jIyzf
Presented at FST Media Future of Financial Services, Sydney (Australia)
Watch this session on-demand to understand how data virtualization helps finance companies to:
- Modernise their data infrastructure by providing a virtual approach to accessing, managing, and delivering data
- Implement a centralised governance framework and roll out security measures across the enterprise data infrastructure
- Integrate data from multiple sources to create a 360-degree view into customers’ changing needs and behaviours
To date the hype about Big Data has come from the perception that Big Data is the next frontier in gaining deeper insight into the customer, or an organization’s business. In the next decade, it is hoped (or hyped) that Big Data will be key to finding ways to better analyze, monetize, and capitalize on these information streams and integrate these insights into the business. It will be the age of Big Data.
But where else will Big Data have an impact?
For IT departments, Big Data represents a new set of requirements and supporting infrastructures, and will require a well thought-out approach to the datacenter network. The network will serve as the key backbone for the special communications and processing needs of Big Data. In preparation for this new era, Network Administrators should begin now to proactively plan for how to mitigate the latency and switch capacity issues that will arise from Big Data’s special needs.
Please join us for this presentation as we explore the implications of Big Data on the network.
Want to get involved in our big data/big content efforts? Direct Tweet me at jmancini77 -- I also did a blog post on this topic -- http://www.digitallandfill.org/2012/03/big-data-and-big-content-just-hype-or-a-real-opportunity.html
Presented during the Open Source Conference 2012, organized by Accenture and Redhat on December 14th 2012. This presentation discusses an open source Big Data case study.
By Jonathan Bender, Consultant, Accenture Technology Labs
Keynote talk by David Dietrich, EMC Education Services at ICCBDA 2013 : International Conference on Cloud and Big Data Analytics
http://twitter.com/imdaviddietrich
http://infocus.emc.com/author/david_dietrich/
Evaluating Big Data Predictive Analytics PlatformsTeradata Aster
Mike Gualtieri, Principal Analyst, Forrester Research, presents at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Evaluating Big Data Predictive Analytics Platforms
Abstract: Great. You have Big Data. Now what? You have to analyze it to find game-changing predictive models that you can use to make smart decisions, reduce risk, or deliver breakthrough customer experiences. Big Data Predictive Analytics solutions are software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analyzing big data sources. In this session, Forrester Principal Analyst Mike Gualtieri will discuss the key criteria you should use to evaluate Big Data Predictive Analytics platforms to meet your specific needs.
BSC 3362 - Big Data and Social Analytics - IOD Conference (IBM)Mark Heid
Big Data and Social Analytics - at IBM's Information on Demand Conference. Aya Soffer | Director, Information Management & Analytics Research & Mark Heid | Program Director, Social
Analytics
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Healthcare Business Intelligence for Power UsersPerficient, Inc.
The Healthcare industry is accustomed to volumes of clinical and administrative data. Business intelligence helps convert these large amounts of data into actionable insights to reduce costs, streamline processes, and improve healthcare delivery. Our first webinar, “An Introduction to Business Intelligence for Healthcare,” introduces business intelligence in healthcare and common concepts.
In the second of this series of two webinars, Health BI Practice Manager, Mike Jenkins addresses:
- The BI Maturity Level
- Examples of Levels 3 and 4
- Attaining Level 5
My pitch deck for a Homeland Security Fund, circa 2004. The objective was to bring early stage capital into the development of new technologies for homeland security and terrorism detection.
UNCLASSIFIED presentation of Buzzient social analytics use in monitoring of 2009 Iranian Election, Zynga Customer Engagement/Community Management Operations, and CRM Integration
Buzzient Social CRM for Telecoms, featuring integration with Oracle, Salesforce, Zendesk, NetSuite and other apps. Business drivers include social customer service, ARPU improvement, etc.
Overlay of Buzzient Social CRM support for Siebel. Buzzient supports Siebel v7.8 through current versions, providing a social CRM solution for customers who haven't upgraded Siebel
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar