TrendSpottr is a company that uses big data to predict future trends. It was able to spot and predict that a photo of President Obama would go viral just minutes after it was published using its analysis of social media, news, and other data sources. TrendSpottr then sent out an alert to its customers, allowing them to optimize their marketing and ad campaigns around the emerging trend, which resulted in increased engagement and sales for those customers. TrendSpottr's predictive alert system enables companies to identify trends early and adapt quickly.
Future of Analytics - Visual Insight with Cognitive Capability - April 2016Jonathan Woodward
The Future of Analytics - Visual insight with cognitive capability - keynote presentation at Visual Analytics Community - April 2016 - event run by Accenture - Great British Viz Off #GBVizOff
Driving the future of big data | PromptCloudPromptCloud
The Big data & Machine Learning emerge as crucial technological assets of the future. Scare over data-driven artificial intelligence replacing human creativity.
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...exponential-inc
Over the last few years we’ve seen a frenzy of interest and buzz around the area of Big Data. Beyond the hype, there is a solid base of growing use cases, which are becoming center stage to most businesses. 2012 was the year of awareness. There was a great amount of sharing from the early core developers of the analytic platforms – showing the rest of the world the capabilities of the tools and platforms that had been developed for special purpose high scale analytics. The big names at the core of open source analytics development include Facebook, eBay, Linkedin, Twitter – all blazing the trail with new approaches. These companies brought along with them a new and expanding interest in leveraging the same technologies for commercial interest.
This talk is focused at how a growing number of enterprises that are already heavily invested in the use cases – but by volume, most customers now have some form of big data proof-of-concept underway. These proof of concepts typically start with a thesis of how competitive advantage can be gained through insight from the data. A proof of concept can quickly validate the theory, and helps sell further investment in the analytics platform, and it snowballs from there.
Future of Analytics - Visual Insight with Cognitive Capability - April 2016Jonathan Woodward
The Future of Analytics - Visual insight with cognitive capability - keynote presentation at Visual Analytics Community - April 2016 - event run by Accenture - Great British Viz Off #GBVizOff
Driving the future of big data | PromptCloudPromptCloud
The Big data & Machine Learning emerge as crucial technological assets of the future. Scare over data-driven artificial intelligence replacing human creativity.
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...exponential-inc
Over the last few years we’ve seen a frenzy of interest and buzz around the area of Big Data. Beyond the hype, there is a solid base of growing use cases, which are becoming center stage to most businesses. 2012 was the year of awareness. There was a great amount of sharing from the early core developers of the analytic platforms – showing the rest of the world the capabilities of the tools and platforms that had been developed for special purpose high scale analytics. The big names at the core of open source analytics development include Facebook, eBay, Linkedin, Twitter – all blazing the trail with new approaches. These companies brought along with them a new and expanding interest in leveraging the same technologies for commercial interest.
This talk is focused at how a growing number of enterprises that are already heavily invested in the use cases – but by volume, most customers now have some form of big data proof-of-concept underway. These proof of concepts typically start with a thesis of how competitive advantage can be gained through insight from the data. A proof of concept can quickly validate the theory, and helps sell further investment in the analytics platform, and it snowballs from there.
Green ICT and its transformation in Korea (Green Startups)Hoon Jung
In 2015, I shared ideas on Green ICT and its transformation in Korea with global leaders from developing countries. This presentation deals with various subjects of Green ICT such as its background, definition, regulation and policy. If you are simply interested in Green Startups in Korea, please move to the last chapter. I separated one slide into many to make easier for readers to follow the content as each slide has heavy information.
IIFT Leadership summit- Data Analytics and Big Data Technology for business c...Sumit Dhar
This is the deck from my talk at Indian Institute of Foreign Trade in New Delhi on the August 28, 2013 at their Trade Winds 2013 Leadership Summit from the 'Data Analytics and Technology for business competitiveness' session.
This was a educational and informational session as the new MBA graduates were eager to know more about the Analytics Industry and opportunities in general
The Future of ICT / TIME: Futurist Gerd Leonhard in Cologne (NSN)Gerd Leonhard
Topics:
# The consequences of what I call 'Broadband Culture'
# Why and how digital content, UGC and Social Media are the biggest growth factors for the ICT industries, going forward
# Why telecoms and ICT companies need to get involved with Content, and move up the foodchain
# Why content flat-rates, starting with music, are the way forward, and need to be regulated
# The copy economy vs the access / usage / sharing economy
More on my blog http://tinyurl.com/dx9q2s
Digital-Warriors-Marketing Roadmap with Big Data AnalyticsJaysonBowden
When the data speaks, why should you listen?
Big data has become a buzzword among marketers all over the world and I am frankly sick of all the buzz without concrete value. In this context, my goal is to make Big Data real and tangible for marketers so you can realize the disruptive shift that is upon us. Every marketer is familiar with the 4 P’s of marketing (Product, Price, Place, and Promotion) so we will start our discussion in a way that begins to extend these concepts. I like to describe these as ‘The New 4 of P’s of Marketing with Big Data: Personalization, Performance, Prediction, and Privacy’
Alexander Aldev - Co-founder and CTO of MammothDB, currently focused on the architecture of the distributed database engine. Notable achievements in the past include managing the launch of the first triple-play cable service in Bulgaria and designing the architecture and interfaces from legacy systems of DHL Global Forwarding's data warehouse. Has lectured on Hadoop at AUBG and MTel.
"The future of Big Data tooling" will briefly review the architectural concepts of current Big Data tools like Hadoop and Spark. It will make the argument, from the perspective of both technology and economics, that the future of Big Data tools is in optimizing local storage and compute efficiency.
Big Data and The Future of Insight - Future FoundationForesight Factory
As Big Data sweeps through consumer-facing businesses, we ask:
- If Big Data is truly a revolution, then what (and whom) will it eliminate or elevate?
- What value will still be derived from conventional market research and brand-building techniques?
- If every brand is backed by Big Data, can every brand prosper?
For more information please contact info@futurefoundation.net or visit www.futurefoundation.net
IBM Fellow Dr. Evangelos Eleftheriou presented the following slides at CeBIT 2014 to discuss the impact of Big Data on future storage technologies spanning from tape to phase change memory.
Green ICT and its transformation in Korea (Green Startups)Hoon Jung
In 2015, I shared ideas on Green ICT and its transformation in Korea with global leaders from developing countries. This presentation deals with various subjects of Green ICT such as its background, definition, regulation and policy. If you are simply interested in Green Startups in Korea, please move to the last chapter. I separated one slide into many to make easier for readers to follow the content as each slide has heavy information.
IIFT Leadership summit- Data Analytics and Big Data Technology for business c...Sumit Dhar
This is the deck from my talk at Indian Institute of Foreign Trade in New Delhi on the August 28, 2013 at their Trade Winds 2013 Leadership Summit from the 'Data Analytics and Technology for business competitiveness' session.
This was a educational and informational session as the new MBA graduates were eager to know more about the Analytics Industry and opportunities in general
The Future of ICT / TIME: Futurist Gerd Leonhard in Cologne (NSN)Gerd Leonhard
Topics:
# The consequences of what I call 'Broadband Culture'
# Why and how digital content, UGC and Social Media are the biggest growth factors for the ICT industries, going forward
# Why telecoms and ICT companies need to get involved with Content, and move up the foodchain
# Why content flat-rates, starting with music, are the way forward, and need to be regulated
# The copy economy vs the access / usage / sharing economy
More on my blog http://tinyurl.com/dx9q2s
Digital-Warriors-Marketing Roadmap with Big Data AnalyticsJaysonBowden
When the data speaks, why should you listen?
Big data has become a buzzword among marketers all over the world and I am frankly sick of all the buzz without concrete value. In this context, my goal is to make Big Data real and tangible for marketers so you can realize the disruptive shift that is upon us. Every marketer is familiar with the 4 P’s of marketing (Product, Price, Place, and Promotion) so we will start our discussion in a way that begins to extend these concepts. I like to describe these as ‘The New 4 of P’s of Marketing with Big Data: Personalization, Performance, Prediction, and Privacy’
Alexander Aldev - Co-founder and CTO of MammothDB, currently focused on the architecture of the distributed database engine. Notable achievements in the past include managing the launch of the first triple-play cable service in Bulgaria and designing the architecture and interfaces from legacy systems of DHL Global Forwarding's data warehouse. Has lectured on Hadoop at AUBG and MTel.
"The future of Big Data tooling" will briefly review the architectural concepts of current Big Data tools like Hadoop and Spark. It will make the argument, from the perspective of both technology and economics, that the future of Big Data tools is in optimizing local storage and compute efficiency.
Big Data and The Future of Insight - Future FoundationForesight Factory
As Big Data sweeps through consumer-facing businesses, we ask:
- If Big Data is truly a revolution, then what (and whom) will it eliminate or elevate?
- What value will still be derived from conventional market research and brand-building techniques?
- If every brand is backed by Big Data, can every brand prosper?
For more information please contact info@futurefoundation.net or visit www.futurefoundation.net
IBM Fellow Dr. Evangelos Eleftheriou presented the following slides at CeBIT 2014 to discuss the impact of Big Data on future storage technologies spanning from tape to phase change memory.
Using Chaos to Disentangle an ISIS-Related Twitter NetworkSteve Kramer
Paragon Science used a combination of network analysis, community detection, topic detection, sentiment analysis, and anomaly detection to find key influencers and emotionally charged websites in a ISIS-related Twitter network.
Open Blueprint for Real-Time Analytics with In-Stream ProcessingGrid Dynamics
As companies continue to invest in big data, their focus is shifting from predictive analytics for reporting and business dashboards to machine learning & AI for real-time intelligent decision-making embedded in software. Many organizations are testing, exploring and piloting applications that automatically promote trending products, adjust prices or respond to alerts raised by intelligent real-time systems.
In her talk, Ms. Victoria Livschitz, founder and CTO of Grid Dynamics, will discuss common business drivers of real-time analytics applications and the emerging platforms for building such applications.
Floods of Twitter Data - StampedeCon 2016StampedeCon
The Twitter data firehose delivers hundreds of millions of Tweets every day. This data flood comes with many ‘big data’ challenges in terms of both data volumes and velocities. This presentation will focus on tools that help you find your data ‘signal’ of interest, and will include several demos that focus on using Twitter for flood early-warning systems. These demos will highlight the real-time, public broadcast nature of Twitter, examples of real-time firehose filtering, as well as recent Internet of Things (IoT) Twitter integrations.
How to use your data science team: Becoming a data-driven organizationYael Garten
Talk given at Strata Hadoop World conference March 2016.
http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48305
In this talk we review the culture, process and tools needed for a data driven organization. We review an example of how companies like LinkedIn use data to make business decisions, and then walk through the culture, process, and tools needed to foster this. We review the spectrum of data science used within an organization and explore organizational needs, such as the democratization of data via self-serve data platforms for experimentation, monitoring, and data exploration, as well as the challenges that come with such systems. Participants leave this session with the ability to identify opportunities for data scientists to contribute within their organization and with an understanding of what investments are needed to drive transformation into a data-driven organization.
Event-based API Patterns and Practices - AsyncAPI Online ConferenceLaunchAny
A look at emerging web-based event protocols, patterns, and practices for designing event-based APIs, streaming APIs, and supplementing REST APIs with eventing and streaming
Similar to Predicting The Future With Big Data: No Crystal Ball Required, TrendSpottr (20)
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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
-------------------------------------------
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
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
29. TrendSpo-r
Informa3on
Flow
Input
Stream
(Social,
Enterprise,
Transac3onal
data)
-‐
Time
stamp,
payload,
augmenta3ons
Dispatcher
(Search
or
API
query)
-‐
Match
search
criteria
or
analyze
en3re
input
stream
Evalua3on
(Event
based
processing,
streaming
analy3cs)
-‐
Update
weights
and
relevance
rankings
in
real-‐3me
30.
31.
32. Taken:Thursday, Nov 14
Published: Early morning Saturday, Nov 17
TrendSpottr:
• Spotted it within minutes of being published
• Sent out "Extreme Alert" to customers
• Predicted photo would go viral within first 35 Tweets
Predictive Marketing and Ad Optimization
Customers used the predictive
alert they received from
TrendSpottr to launch customized
content marketing and social ad
buying campaigns that incorporated
the Obama photo and that resulted
in huge content sharing metrics and
CTR conversions
33. TrendSpottr’s latest product,TrendSpottr Alerts, sent out an instant email alert to customers about the predicted viral growth of the Obama photo. TrendSpottr Alerts is the most
advanced predictive early warning system in the market today and enables customers to literally “get ahead of the curve”. See: http://techcrunch.com/2013/01/17/trendspottr-launches-
predictive-trend-alerts-for-lean-back-high-level-monitoring-of-popular-content/ and http://www.mediabistro.com/alltwitter/trendspottr-alerts_b34389
41. “I think there is a world market for maybe five computers.”
-Thomas Watson, chairman of IBM, 1943
"No one will need more than 637KB of memory for a
personal computer. 640KB ought to be enough for
anybody." --Bill Gates
"There is no reason for any individual to have a computer
in his home." --Ken Olsen, founder of Digital Equipment
Corp.
"I predict the Internet will soon go spectacularly supernova
and in 1996 catastrophically collapse." --Robert Metcalfe,
founder of 3Com, inventor of Ethernet.