The document discusses how government data is increasingly connected but remains segmented and disconnected. It introduces GraphGrid, a fully-managed platform that uses graph databases and technologies to connect government data and enable agencies to discover relationships and gain insights. This allows agencies to solve complex problems, improve security, increase intelligence sharing between agencies, and improve mission outcomes.
Tamr | MDM and the Data Unification ImperativeTamr_Inc
A successful digital information strategy depends on being able to find, connect and consume diverse data sources repeatably and at scale. But top-down, deterministic data unification approaches (such as ETL, ELT and MDM) weren’t designed to scale to the variety of hundreds, thousands or tens of thousands of data silos. A new bottom-up, probabilistic approach to data unification complements MDM by providing the agility and scalability to exploit data variety.
Organizations want to use all the data available to them for analytics. But they’ve been thwarted by data silos and top-down, mostly manual approaches to unifying data for analytics. A new approach, based on machine learning combined with human expert sourcing, dramatically speeds analytics’ time-to-value. It automates data unification end-to end: from finding and connecting diverse data to interactive consumption by virtually anyone using any analytic tool.
Big Data Expo 2015 - Trillium software Big Data and the Data QualityBigDataExpo
Successful Big Data initiatives rely on accurate, complete data, but the information they draw on is often not validated when it enters an organization. In this session we will look at the challenges big data brings to an organization, and how data quality principles are adapting to ensure business goals and return on investments in big data are realised. We will cover:
- Challenges of big data
- Turning data lakes into reservoirs
- How data quality tools are adapting
- Why data governance disciplines remain crucial
Tamr | MDM and the Data Unification ImperativeTamr_Inc
A successful digital information strategy depends on being able to find, connect and consume diverse data sources repeatably and at scale. But top-down, deterministic data unification approaches (such as ETL, ELT and MDM) weren’t designed to scale to the variety of hundreds, thousands or tens of thousands of data silos. A new bottom-up, probabilistic approach to data unification complements MDM by providing the agility and scalability to exploit data variety.
Organizations want to use all the data available to them for analytics. But they’ve been thwarted by data silos and top-down, mostly manual approaches to unifying data for analytics. A new approach, based on machine learning combined with human expert sourcing, dramatically speeds analytics’ time-to-value. It automates data unification end-to end: from finding and connecting diverse data to interactive consumption by virtually anyone using any analytic tool.
Big Data Expo 2015 - Trillium software Big Data and the Data QualityBigDataExpo
Successful Big Data initiatives rely on accurate, complete data, but the information they draw on is often not validated when it enters an organization. In this session we will look at the challenges big data brings to an organization, and how data quality principles are adapting to ensure business goals and return on investments in big data are realised. We will cover:
- Challenges of big data
- Turning data lakes into reservoirs
- How data quality tools are adapting
- Why data governance disciplines remain crucial
Organizations want to use all the data available to them for analytics. But they’ve been thwarted by data silos and top-down, mostly manual approaches to unifying data for analytics. A new approach, based on machine learning combined with human expert sourcing, dramatically speeds analytics’ time-to-value. It automates data unification end-to end: from finding and connecting diverse data to interactive consumption by virtually anyone using any analytic tool.
Dynamic Talks: "Implementing data quality automation with open source stack" ...Grid Dynamics
The quality of business decisions, machine learning insights, and executive reports depend on the quality and integrity of the underlying data. There are many ways that data can get corrupted in an analytical data platform from de-synchronization with the system-of-record to defects in data pipelines. We will show how to detect and prevent data corruption with automation, open source tools, and machine learning.
Camssguide Big Data Analytics Solutions, can help you meet and exceed challenges and opportunities for business, industry, and technology solution areas
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI)...DATAVERSITY
The state of the art and practice for AI and Machine Learning (ML) has matured rapidly in the past few years, making it an ideal time to take a look at what works and what doesn’t.
In this webinar, we will present an overview of AI-infused applications in two industries:
Manufacturing
Retail
Participants will learn to look for characteristics of business processes and of data that make them well - or ill - suited to AI-augmentation or automation.
Data Prep Market Projected to Garner Significant Revenues by 2025 -endpoojatmr
Data prep employs tools such as data cataloging, data ingestion, data curation, data quality, and data governance to create high quality consistent data. Data prep also eliminates low quality and incorrect data which is detrimental to the efficient functioning of data mining and analytics processes. It also helps to validate and rationalize data procured from multiple sources to be useful for different applications.
The Emergence of Alt-Data and its ApplicationsPromptCloud
Alternative data is information gathered from non-traditional information sources. Analysis of this data can provide insights beyond that which an industry’s regular data sources are capable of providing. Here is all you should know about alt-data.
RingLead creates easy-to-use yet powerful applications that will keep each record in your CRM and/or marketing automation database normalized, unique and complete.
With our data quality suite, you will find applications for:
- Data Normalization
- Data Deduplication
- Duplicate Prevention
- Company & Contact Data Enrichment
Our products integrate seamlessly with Salesforce.com, Microsoft Dynamics CRM, Marketo, Eloqua, Pardot, ExactTarget, Act-On Software,
Graph technologies have the potential to help businesses understand complex connected data. From financial crime to cyber-security to IT management, specific business requires custom applications. This is why we created the Linkurious SDK , a toolkit that enables you to quickly build secure and flexible applications to leverage the connections within your data or unveil hidden relationships.
Discover in this presentation the challenges of integrating graph technologies into enterprise applications; and how to use the Linkurious SDK to build a robust, secure and interactive graph application.
C* Summit 2013: Big Data Analytics – Realize the Investment from Your Big Dat...DataStax Academy
The term "big data" seems to be everywhere these days. With the ever growing number of attendees at big data and Hadoop events, it’s clear big data is here to stay. But what does that mean for the analytics market, and how does big data fit into the picture? This session, featuring Mark Davis, Sr. Product Architect at Dell, will explore what big data means in a practical sense to the IT department. It will also explore the many ways that big data affects an organization’s picture of performance. Plus, see how big data analytics, using technologies like Cassandra and Hadoop, will converge with traditional business intelligence to create a complete picture of the enterprise's information assets, thereby giving the business a complete and insightful view of its operational efficiency.
Alignment: Office of the Chief Data Officer & BCBS 239Craig Milroy
Alignment: Office of the Chief Data Officer & BCBS 239. Alignment overview between OCDO framework and Principles for Effective Risk Data Aggregation and Risk Reporting.
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
Big Data, Big Deal? (A Big Data 101 presentation)Matt Turck
Background: I prepared this slide deck for a couple of “Big Data 101” guest lectures I did in February 2013 at New York University’s Stern School of Business and at The New School. They’re intended for a college level, non technical audience, as a first exposure to Big Data and related concepts. I have re-used a number of stats, graphics, cartoons and other materials freely available on the internet. Thanks to the authors of those materials.
By definition, “big data” involves large volumes of diverse data sources.
Considering all the data that your activities generate and that 99% of this data is irrelevant “noise,” business users and stakeholders have to struggle to understand your company’s status.
See how a business perspective on your big, small or just complex data will generate business value.
How much money do you lose every time your ecommerce site goes down?DataStax
In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines.
In this webinar, you’ll learn how to:
-Get uptime, all the time, so you can serve your customers without outages
-Ingest huge velocities of data from anywhere
-Maximize mobile, online and cloud applications with the security your customers expect
-Identify patterns between formerly silo’d data, even text and call logs
-Get the search & insight you need without performance hits
Organizations want to use all the data available to them for analytics. But they’ve been thwarted by data silos and top-down, mostly manual approaches to unifying data for analytics. A new approach, based on machine learning combined with human expert sourcing, dramatically speeds analytics’ time-to-value. It automates data unification end-to end: from finding and connecting diverse data to interactive consumption by virtually anyone using any analytic tool.
Dynamic Talks: "Implementing data quality automation with open source stack" ...Grid Dynamics
The quality of business decisions, machine learning insights, and executive reports depend on the quality and integrity of the underlying data. There are many ways that data can get corrupted in an analytical data platform from de-synchronization with the system-of-record to defects in data pipelines. We will show how to detect and prevent data corruption with automation, open source tools, and machine learning.
Camssguide Big Data Analytics Solutions, can help you meet and exceed challenges and opportunities for business, industry, and technology solution areas
Rapid digitization has resulted in the production of large volumes of unstructured data. This trend is expected to provide significant opportunities for graph database market in the upcoming years
Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI)...DATAVERSITY
The state of the art and practice for AI and Machine Learning (ML) has matured rapidly in the past few years, making it an ideal time to take a look at what works and what doesn’t.
In this webinar, we will present an overview of AI-infused applications in two industries:
Manufacturing
Retail
Participants will learn to look for characteristics of business processes and of data that make them well - or ill - suited to AI-augmentation or automation.
Data Prep Market Projected to Garner Significant Revenues by 2025 -endpoojatmr
Data prep employs tools such as data cataloging, data ingestion, data curation, data quality, and data governance to create high quality consistent data. Data prep also eliminates low quality and incorrect data which is detrimental to the efficient functioning of data mining and analytics processes. It also helps to validate and rationalize data procured from multiple sources to be useful for different applications.
The Emergence of Alt-Data and its ApplicationsPromptCloud
Alternative data is information gathered from non-traditional information sources. Analysis of this data can provide insights beyond that which an industry’s regular data sources are capable of providing. Here is all you should know about alt-data.
RingLead creates easy-to-use yet powerful applications that will keep each record in your CRM and/or marketing automation database normalized, unique and complete.
With our data quality suite, you will find applications for:
- Data Normalization
- Data Deduplication
- Duplicate Prevention
- Company & Contact Data Enrichment
Our products integrate seamlessly with Salesforce.com, Microsoft Dynamics CRM, Marketo, Eloqua, Pardot, ExactTarget, Act-On Software,
Graph technologies have the potential to help businesses understand complex connected data. From financial crime to cyber-security to IT management, specific business requires custom applications. This is why we created the Linkurious SDK , a toolkit that enables you to quickly build secure and flexible applications to leverage the connections within your data or unveil hidden relationships.
Discover in this presentation the challenges of integrating graph technologies into enterprise applications; and how to use the Linkurious SDK to build a robust, secure and interactive graph application.
C* Summit 2013: Big Data Analytics – Realize the Investment from Your Big Dat...DataStax Academy
The term "big data" seems to be everywhere these days. With the ever growing number of attendees at big data and Hadoop events, it’s clear big data is here to stay. But what does that mean for the analytics market, and how does big data fit into the picture? This session, featuring Mark Davis, Sr. Product Architect at Dell, will explore what big data means in a practical sense to the IT department. It will also explore the many ways that big data affects an organization’s picture of performance. Plus, see how big data analytics, using technologies like Cassandra and Hadoop, will converge with traditional business intelligence to create a complete picture of the enterprise's information assets, thereby giving the business a complete and insightful view of its operational efficiency.
Alignment: Office of the Chief Data Officer & BCBS 239Craig Milroy
Alignment: Office of the Chief Data Officer & BCBS 239. Alignment overview between OCDO framework and Principles for Effective Risk Data Aggregation and Risk Reporting.
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
Big Data, Big Deal? (A Big Data 101 presentation)Matt Turck
Background: I prepared this slide deck for a couple of “Big Data 101” guest lectures I did in February 2013 at New York University’s Stern School of Business and at The New School. They’re intended for a college level, non technical audience, as a first exposure to Big Data and related concepts. I have re-used a number of stats, graphics, cartoons and other materials freely available on the internet. Thanks to the authors of those materials.
By definition, “big data” involves large volumes of diverse data sources.
Considering all the data that your activities generate and that 99% of this data is irrelevant “noise,” business users and stakeholders have to struggle to understand your company’s status.
See how a business perspective on your big, small or just complex data will generate business value.
How much money do you lose every time your ecommerce site goes down?DataStax
In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines.
In this webinar, you’ll learn how to:
-Get uptime, all the time, so you can serve your customers without outages
-Ingest huge velocities of data from anywhere
-Maximize mobile, online and cloud applications with the security your customers expect
-Identify patterns between formerly silo’d data, even text and call logs
-Get the search & insight you need without performance hits
IDGA is pleased to announce the return of the 5th Annual Cloud Computing for DoD & Government. The Draft Agenda is now available for you to view. Get your copy at www.CloudComputingEvent.com or request a copy via email at idga@idga.org
This summit is unique from the rest as it allows you to look at both sides of the Cloud - the fluid and functional aspect of Cloud services for government agencies, as well as with the tactical capabilities of the Cloud.
Geospatial Intelligence Middle East 2013_Big Data_Steven RamageSteven Ramage
Some initial considerations and discussion points around geospatial big data. Location adds context and relevance. Need to consider a number of V factors including Value.
In this webinar, Richard Fong, Technical Solution Consultant with GovDelivery, will explain what an API is and why it’s so essential to the new federal Digital Government roadmap. He’ll provide insight into GovDelivery’s API, which helps automate previously manual processes so you can save time and resources on routine tasks. Richard will also share some exciting government success stories that illustrate how easily and successfully government agencies can leverage APIs to drive efficiency and engagement.
AWS Webcast - AWS Cloud Solution for State and Local Law Enforcement Agencies Amazon Web Services
Today, law enforcement agencies are making attempts to adapt to the exponential growth in the amount of video and photo information - captured by eyewitnesses, investigators, officers, security cameras and news media. This boom in the amount of data being produced is creating a situation where local storage space is quickly being used up and agencies do not have a rich platform to analyze this data. AWS Partner, Citizen Global has developed a cutting-edge software platform that enables law enforcement to easily collect, manage, analyze and distribute enormous volumes of photo and video information. By accelerating critical investigation and response time, this technology significantly contributes to the improvement of public safety.
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
Avoid the Pitfalls of Migrating Your Solutions to the Cloud365 Data Centers
Your clients want to migrate to the cloud. In this webinar, learn about how resellers and cloud MSPs are offering hosted UC, Private Cloud and SaaS. Learn about the top three things to consider when migrating your managed services to the cloud and how to thrive in a hybrid world.
DevOps and data privacy do not need to oppose each other. Rather, they can complement one another.
The automation and audit trails that DevOps processes introduce to database development can ease compliance with data protection regulations and enable organizations to balance the need to deliver software faster with the requirement to protect and preserve personal data.
So how can the promise of releasing changes to the database faster and easier be balanced with the need to keep data safe and remain compliant with legislation?
Redgate’s Data Privacy and Protection Specialist Chris Unwin, shows how the answer lies in in going one step further than database DevOps and thinking about Compliant Database DevOps:
• Introduce standardized team-based development
• Automate deployments
• Monitor performance and availability
• Protect and preserve data
Open government international garry lloydGarry Lloyd
“Our vision is for an open government. For the government and community to be able to leverage a government platform with social media tools, developing a community instinct. This would then enable both government and community to have an inherent inclination toward the same behaviour / goal.”
The Briefing Room with Robin Bloor and SQLstream
Live Webcast on Jan. 8, 2013
Most business opportunities are moving targets these days, rendering static analytical solutions rather ineffective. Instead, organizations need technologies that enable a much bigger picture, complete with multiple data streams that can be combined to show what's happening in real-time. And increasingly, companies need to analyze both traditional structured data as well as Big Data, including machine-generated data from all manner of enterprise systems.
Check out this episode of The Briefing Room to hear veteran Analyst Robin Bloor explain how a confluence of market forces has opened the door to a new analytical paradigm, one in which companies can leverage a vast array of data streams to pinpoint windows of opportunity as or even just before they appear. Bloor will be briefed by Damian Black of SQLstream, who will discuss his company's analytical platform, which enables the management of dynamic information assets in much the way that traditional databases do for stored assets.
Visit: http://www.insideanalysis.com
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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!
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
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.
2. a platform by
THE FUTURE IS IN NETWORKS
The world is more connected than ever before, and data relationships are constantly,
ceaselessly increasing. Data in the government is no different; it is bidirectional,
always-flowing, and continuously changing.
Yet it remains largely segmented and disconnected.
2
3. a platform by
200,000+ social
media messages sent out by
ISIL and its supporters every
day
There are over
1,000,000
border crossings into the
US every day
Around
200,000
trucks and cars cross into
the US from Canada every
day
Over 6,000,000
cargo containers enter US
seaports annually.
Just 2%
of these cargo
containers are
inspected by CBP.
$120 billion+ is
wired out of the US to other
countries by individuals each
year
What would you
learn if you could
connect all your data
stores?
3
4. a platform by
To turn the
government’s data into
intelligence, operational
assets, and mission
outcomes, data must be
connected, understood,
and
acted upon.
4
5. We realized that problems we
were solving were connected
data problems.
THE ANSWER WAS
GRAPH.
Over 5 years, we built
platforms to manage large
graph data deployments.
AND THE END RESULT IS
GRAPHGRID
a platform by
THE JOURNEY TO GRAPH
5
Relational
Databases
Graph as
a feature
GRAPH
TECHNOLOG
Y
6. a platform by
A fully-managed transformational platform that
changes the way the government thinks. We deliver a
production-hardened connected data architecture
that supports extremely complex and
highly-connected missions.
Speed. Agility. Intuitiveness.
Focus on the mission, not the technology.
A CONNECTED GOVERNMENT WITH GRAPHGRID
6
8. a platform by
CENTERED AROUND NATIVE GRAPH DATABASES
• Manage highly connected
data and complex queries.
• Store, process, and query
connections efficiently.
• Discover and learn
through patterns as
relationship context
changes.
• Real-time answers to
complex queries.
A RELATIONSHIP
IN THE GRAPH
8
9. a platform by
GraphOps
Taking care of mission
critical systems and
ensuring disaster
recovery capabilities.
Visualization
Strong, dynamic
visualization enables you to
look at different nodes and
connected networks as well as
build custom visualizations
for specific use cases.
PLATFORM OVERVIEW
SecureGraph
Secure access through existing
private and hybrid cloud
connections and securely expand
your existing cloud network.
Control and meter users and usage.
GraphCompute
Take advantage of graph resources to
run highly optimized graph
algorithms across your connected
data. Discover new patterns and
connect additional data in the graph.
GraphStream
Get data into a connected
state by writing data to the
graph in a constant, robust
manner, tolerant to failure
or issues.
GraphSearch
A real time, auto-indexing
search solution integrated
with connected graph data to
leverage them and amass a
powerful graph search.
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10. a platform by
Technical:
• Annual Third-party Security Audits
• NIST 800-53
• FIPS 142-2 compliant encryption
• SSL In-Flight
• Encrypted Volumes at Rest
• Continuous Monitoring
Personnel:
• Two-factor Authentication
• Default is access restricted
• Annual security trainings
Process:
• Incident Response
• Escalation and Remediation
SECURITY FIRST
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11. a platform by
Size:
• 100B+ Nodes and Edges
• 1M+ Edge Densities
Scale:
• 1B+ Writes per Day
• 100+ Instance Clusters
Time:
• Operational Since 2013
• Deploy in under 10min
Reliability:
• Clustered
• Multi-Region
• Zero-Downtime Lifecycle
HIGHLY SCALEABLE, HARDENED PLATFORM
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12. a platform by
GETTING TO
THE GRAPH
Turn off legacy
databases one by
one as data is
migrated to
GraphGrid
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13. a platform by
Connected-data analysis keep mission informed
Real time interaction with the connected data
Increased intelligence and collaboration across agencies,
missions, and program:
No duplication: run multi-applications against single graphs
Flexible APIs to control users access and privileges
REDUCED PROJECT
DELIVERY TIME
FASTER TIME TO
AUTHORITY
TO OPERATE (ATO)
MAXIMIZE YOUR LIMITED
RESOURCES
CONTINUOUSLY MONITOR
AND MEASURE
Quickly build your federal clients better, more contextually aware applications.
IMPROVED MISSION OUTCOMES
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14. a platform by
Rapid Proof of Concept
On-Premise Deployment
Secure Cloud through AWS GovCloud
DEPLOYMENT OPTIONS
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15. a platform by
The Company
• Founded in 2009
• Certified SBA small business
• Based in Los Angeles, CA
Deep Expertise
• 5+ years of Graph solutions
• International SMEs and speakers
• One of few certified Neo4j professionals
worldwide
• Certified AWS partner
Sample Clients:
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17. a platform by
Get a broader, more
connected picture by
securely sharing data
throughout the
government.
Provide API keys to other
agencies while
maintaining strict usage
controls
.
CONTROLLED AND
METERED ACCESS
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