Webster Mudge, Senior Director of Technology Solutions at Cloudera, shares keys to effective analytics and data discovery at the 2015 Informatica Government Summit.
Protecting health and life science organizations from breaches and ransomwareCloudera, Inc.
3 Things to Learn About:
* 1. Ransomware is a particular problem and currently the highest priority for healthcare organizations. Machine learning can use the structure of a malicious email to detect an attack even before the email is opened.
* 2. Big data architectures provide the machine-learning models with the volume and variety of data required to achieve complete visibility across the spectrum of IT activity—from packets to logs to alerts.
* 3. Intel and industry partners are currently running one-hour, complimentary, confidential benchmark engagements for HLS organizations that want to see how their security compares with the industry .
How Cloudera SDX can aid GDPR compliance 6.21.18Cloudera, Inc.
In this webinar, we will cover:
Technical capabilities required in your data platform including metadata classification on ingest, column-level lineage, fine-grained authorization, encryption, and more
How a shared data experience can facilitate the safe handling of metadata
Ways to enable your data platform for GDPR success
Delivering improved patient outcomes through advanced analytics 6.26.18Cloudera, Inc.
Rush University Medical Center, along with Cloudera and MetiStream, talk about adopting a comprehensive and interactive analytic platform for improved patient outcomes and better genomic analysis, highlighting examples in both genomics and clinical notes. John Spooner of 451 Research provides context to the discussion and shares market insights that complement the customer stories.
The 5 Biggest Data Myths in Telco: ExposedCloudera, Inc.
More than any business, telecommunications firms have long been dealing with huge, diverse sets of data. Big Data. Data that is unstructured, unwieldy and disorganised, making it difficult to analyse and costly to manage. Your landscape is fiercely competitive and you instinctively know it's exactly that data that would allow you to be more innovative. Data that would set you apart from the competition. You would like to realise its true potential yet you have concerns around security, RoI or integration with existing data management solutions.
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Protecting health and life science organizations from breaches and ransomwareCloudera, Inc.
3 Things to Learn About:
* 1. Ransomware is a particular problem and currently the highest priority for healthcare organizations. Machine learning can use the structure of a malicious email to detect an attack even before the email is opened.
* 2. Big data architectures provide the machine-learning models with the volume and variety of data required to achieve complete visibility across the spectrum of IT activity—from packets to logs to alerts.
* 3. Intel and industry partners are currently running one-hour, complimentary, confidential benchmark engagements for HLS organizations that want to see how their security compares with the industry .
How Cloudera SDX can aid GDPR compliance 6.21.18Cloudera, Inc.
In this webinar, we will cover:
Technical capabilities required in your data platform including metadata classification on ingest, column-level lineage, fine-grained authorization, encryption, and more
How a shared data experience can facilitate the safe handling of metadata
Ways to enable your data platform for GDPR success
Delivering improved patient outcomes through advanced analytics 6.26.18Cloudera, Inc.
Rush University Medical Center, along with Cloudera and MetiStream, talk about adopting a comprehensive and interactive analytic platform for improved patient outcomes and better genomic analysis, highlighting examples in both genomics and clinical notes. John Spooner of 451 Research provides context to the discussion and shares market insights that complement the customer stories.
The 5 Biggest Data Myths in Telco: ExposedCloudera, Inc.
More than any business, telecommunications firms have long been dealing with huge, diverse sets of data. Big Data. Data that is unstructured, unwieldy and disorganised, making it difficult to analyse and costly to manage. Your landscape is fiercely competitive and you instinctively know it's exactly that data that would allow you to be more innovative. Data that would set you apart from the competition. You would like to realise its true potential yet you have concerns around security, RoI or integration with existing data management solutions.
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Digital Government: Data + Government Isn't Enough | Wrangle Conference 2017Cloudera, Inc.
Government agencies are collecting and producing data at an accelerating rate, and constituents want access to this data with decreasing latency. Meeting a digitally savvy polity's desire for data while ensuring that data is open, accessible, and interpretable by all comes with unique challenges. I'll share some of these while walking through how governments are building their own data products using open data as well as empowering civic hackers. I'll also walk through why data science at the government level is fundamentally different than data science in the private sector.
EMC XtremIO and EMC Isilon scale-out architectures make them an ideal fit to handle the demanding Splunk requirements around intensive workloads. EMC brings the same enterprise-class data services to Splunk that earned them best of breed status across the board in area such Scale-Out NAS storage, data protection, compliance and performance tiering.
IoT is reshaping the manufacturing and industrial processes, effectively changing the paradigm from one of repair and replace to more of predict and prevent. Using data streaming from connected equipment and machinery, organizations can now monitor the health of their assets and effectively predict when and how an asset might fail. However, without the right data management strategy and tools, investments in IoT can yield limited results. Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance.
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...Precisely
Effective AI and ML projects require a perfect blend of scalable, clean data funneled from a variety of sources across the business. The only problem? Uncleaned data often lives in hard-to-access legacy systems, and it costs time and money to build the right foundation to deliver that data to answer ever-changing questions from business users. Together, Cloudera and Syncsort enable you to build a scalable foundation of data connections to reinvent the data lifecycle of all your projects in the most efficient way possible.
View this webinar on-demand to learn how innovative solutions from Cloudera and Syncsort enable AI and ML success. You will learn:
• Best practices for transforming complex data into clear, actionable insights for AI and ML projects
• How to visually assess the quality of the sources in your data lake and their completeness, consistency, and accuracy
• The value of an Enterprise Data Cloud and the newly unveiled Cloudera Data Platform
• How Syncsort Connect integrates natively with the Cloudera Data Platform
4 ways to cut your e discovery costs in half-webinar-exterro-druvaDruva
Growing data volumes, cloud service options, and overwhelming number of mobile devices continue to add to the complexity of eDiscovery. Information dispersed across various data sources (endpoints and popular cloud applications) and outdated technology for eDiscovery make the collection and preservation of ESI not only a tedious and manual process but can also be the source of data spoliation.
The slides from this webcast show modern eDiscovery technologies enables organizations to accelerate the eDiscovery process while reducing costs and risk by:
* Automating legal hold, in place preservation, collection and processing utilizing a single platform from Exterro
* Collection and preservation of end-user (including existing employee) data across endpoints and popular cloud applications (through Druva)
* Streamlining data transfer and ingestion to eliminate technology bottlenecks for faster analysis and review
See the webcast at: http://bit.ly/2fBeLXW
If you want to find out more about what we're working on, keep an eye on our blog post, we're always publishing something interesting!
https://www.crowdstrike.com/blog/category/engineering-and-technology/
To Serve and Protect: Making Sense of Hadoop Security Inside Analysis
The Briefing Room with Dr. Robin Bloor and HP Security Voltage
Live Webcast September 22, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=45ece7082b1d7c2cc8179bc7a1a69ea5
Hadoop is rapidly becoming a development platform and dominant server environment, and organizations are keen to take advantage of its massively scalable – and relatively inexpensive – resources. It is not, however, without its limitations, and it often requires a contingent of complementary components in order to behave within an information architecture. One area often overlooked is security, a factor that, if not considered from the onset, can insert great risk when putting sensitive data in Hadoop.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how security was never a design point for Hadoop and what organizations can do about it. He’ll be briefed by Sudeep Venkatesh of HP Security Voltage, who will explain the intricacies surrounding a secure Hadoop implementation. He will show how techniques like format-preserving and partial-field encryption can allow for analytics over protected data, with zero performance impact.
Visit InsideAnalysis.com for more information.
The quest for the insight-driven enterprise has spurned a mass exodus to the cloud. But cloud data ecosystems can be very complex with multiple data storage and processing options.
These slides-based on the webinar featuring leading IT analyst firm EMA, Amazon Web Services (AWS), and Trifacta--will help you: understand technology trends that simplify your analytics modernization journey; learn best practices to operationalize data management on AWS; establish operational excellence leveraging AWS data storage and processing; accelerate time-to-value for analytics projects with data preparation on AWS.
Transform Banking with Big Data and Automated Machine Learning 9.12.17Cloudera, Inc.
Banks are rich in valuable data and can build and maintain a competitive advantage by identifying and executing on high-value machine learning projects leveraging the rich data available.This webinar will describe use cases fit for big data and machine learning in the banking sector (commercial, consumer, regulatory, and markets) and the impact they can have for your organization.
3 things to learn:
* How to create a next generation data platform and why it is important
* How to monetize big data using predictive modeling and machine learning
* What is needed for automated machine learning as a sustainable, cost-effective, and efficient solution
Deep learning expands boundaries of the possible. Detecting fraud. Predicting claims. Diagnosing cancer. Deep learning solves these problems and many others. However, organizations struggle to make deep learning work. Cloudera—with tools like the Cloudera Data Science Workbench—helps you bring deep learning to your data, for new insights and applications. A demonstration of Cloudera Data Science Workbench is included in the webinar.
Presentation of our survey of 625 IT decision-makers across Europe in mid to large enterprises. Questions include:
Is enterprise cloud adoption becoming a reality in 2015?
Which cloud adoption model will prevail; public, private or hybrid?
What percentage of workloads would move to the cloud and which percentage will remain in the data centre?
What will the role of corporate data centres be in the cloud era?
Will data centre outsourcing become more common?
How will on-premise and cloud-based IT infrastructure be connected?
What will cloud 2020 look like?
3 Things to Learn About:
*The IoT ecosystem and data management considerations for IoT
*Top IoT use cases and data architecture strategies for managing the sheer volume and variety of IoT data
*Real-life case studies on how our customers are using Cloudera Enterprise to drive insights and analytics from all of their IoT data
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondCloudera, Inc.
Federal organizations increasingly are focused on creating environments that enable more data-driven decisions. Yet ensuring that all data is considered and is current, complete, and accurate is a tall order for most. To make data analytics meaningful to support real-world transformation, agency staff need business tools that provide user-friendly dashboards, on-demand reporting, and methods to manage efficiently the rise of voluminous and varied data sets and types commonly associated with big data. In most cases, existing systems are insufficient to support these requirements. Enter the enterprise data hub (EDH), a software architecture specifically designed to be a unified platform that can economically store unlimited data and enable diverse access to it at scale. Plan to attend this discussion to understand the key considerations to making an EDH the architectural center of your agency’s modern data strategy.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Digital Government: Data + Government Isn't Enough | Wrangle Conference 2017Cloudera, Inc.
Government agencies are collecting and producing data at an accelerating rate, and constituents want access to this data with decreasing latency. Meeting a digitally savvy polity's desire for data while ensuring that data is open, accessible, and interpretable by all comes with unique challenges. I'll share some of these while walking through how governments are building their own data products using open data as well as empowering civic hackers. I'll also walk through why data science at the government level is fundamentally different than data science in the private sector.
EMC XtremIO and EMC Isilon scale-out architectures make them an ideal fit to handle the demanding Splunk requirements around intensive workloads. EMC brings the same enterprise-class data services to Splunk that earned them best of breed status across the board in area such Scale-Out NAS storage, data protection, compliance and performance tiering.
IoT is reshaping the manufacturing and industrial processes, effectively changing the paradigm from one of repair and replace to more of predict and prevent. Using data streaming from connected equipment and machinery, organizations can now monitor the health of their assets and effectively predict when and how an asset might fail. However, without the right data management strategy and tools, investments in IoT can yield limited results. Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance.
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...Precisely
Effective AI and ML projects require a perfect blend of scalable, clean data funneled from a variety of sources across the business. The only problem? Uncleaned data often lives in hard-to-access legacy systems, and it costs time and money to build the right foundation to deliver that data to answer ever-changing questions from business users. Together, Cloudera and Syncsort enable you to build a scalable foundation of data connections to reinvent the data lifecycle of all your projects in the most efficient way possible.
View this webinar on-demand to learn how innovative solutions from Cloudera and Syncsort enable AI and ML success. You will learn:
• Best practices for transforming complex data into clear, actionable insights for AI and ML projects
• How to visually assess the quality of the sources in your data lake and their completeness, consistency, and accuracy
• The value of an Enterprise Data Cloud and the newly unveiled Cloudera Data Platform
• How Syncsort Connect integrates natively with the Cloudera Data Platform
4 ways to cut your e discovery costs in half-webinar-exterro-druvaDruva
Growing data volumes, cloud service options, and overwhelming number of mobile devices continue to add to the complexity of eDiscovery. Information dispersed across various data sources (endpoints and popular cloud applications) and outdated technology for eDiscovery make the collection and preservation of ESI not only a tedious and manual process but can also be the source of data spoliation.
The slides from this webcast show modern eDiscovery technologies enables organizations to accelerate the eDiscovery process while reducing costs and risk by:
* Automating legal hold, in place preservation, collection and processing utilizing a single platform from Exterro
* Collection and preservation of end-user (including existing employee) data across endpoints and popular cloud applications (through Druva)
* Streamlining data transfer and ingestion to eliminate technology bottlenecks for faster analysis and review
See the webcast at: http://bit.ly/2fBeLXW
If you want to find out more about what we're working on, keep an eye on our blog post, we're always publishing something interesting!
https://www.crowdstrike.com/blog/category/engineering-and-technology/
To Serve and Protect: Making Sense of Hadoop Security Inside Analysis
The Briefing Room with Dr. Robin Bloor and HP Security Voltage
Live Webcast September 22, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=45ece7082b1d7c2cc8179bc7a1a69ea5
Hadoop is rapidly becoming a development platform and dominant server environment, and organizations are keen to take advantage of its massively scalable – and relatively inexpensive – resources. It is not, however, without its limitations, and it often requires a contingent of complementary components in order to behave within an information architecture. One area often overlooked is security, a factor that, if not considered from the onset, can insert great risk when putting sensitive data in Hadoop.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he discusses how security was never a design point for Hadoop and what organizations can do about it. He’ll be briefed by Sudeep Venkatesh of HP Security Voltage, who will explain the intricacies surrounding a secure Hadoop implementation. He will show how techniques like format-preserving and partial-field encryption can allow for analytics over protected data, with zero performance impact.
Visit InsideAnalysis.com for more information.
The quest for the insight-driven enterprise has spurned a mass exodus to the cloud. But cloud data ecosystems can be very complex with multiple data storage and processing options.
These slides-based on the webinar featuring leading IT analyst firm EMA, Amazon Web Services (AWS), and Trifacta--will help you: understand technology trends that simplify your analytics modernization journey; learn best practices to operationalize data management on AWS; establish operational excellence leveraging AWS data storage and processing; accelerate time-to-value for analytics projects with data preparation on AWS.
Transform Banking with Big Data and Automated Machine Learning 9.12.17Cloudera, Inc.
Banks are rich in valuable data and can build and maintain a competitive advantage by identifying and executing on high-value machine learning projects leveraging the rich data available.This webinar will describe use cases fit for big data and machine learning in the banking sector (commercial, consumer, regulatory, and markets) and the impact they can have for your organization.
3 things to learn:
* How to create a next generation data platform and why it is important
* How to monetize big data using predictive modeling and machine learning
* What is needed for automated machine learning as a sustainable, cost-effective, and efficient solution
Deep learning expands boundaries of the possible. Detecting fraud. Predicting claims. Diagnosing cancer. Deep learning solves these problems and many others. However, organizations struggle to make deep learning work. Cloudera—with tools like the Cloudera Data Science Workbench—helps you bring deep learning to your data, for new insights and applications. A demonstration of Cloudera Data Science Workbench is included in the webinar.
Presentation of our survey of 625 IT decision-makers across Europe in mid to large enterprises. Questions include:
Is enterprise cloud adoption becoming a reality in 2015?
Which cloud adoption model will prevail; public, private or hybrid?
What percentage of workloads would move to the cloud and which percentage will remain in the data centre?
What will the role of corporate data centres be in the cloud era?
Will data centre outsourcing become more common?
How will on-premise and cloud-based IT infrastructure be connected?
What will cloud 2020 look like?
3 Things to Learn About:
*The IoT ecosystem and data management considerations for IoT
*Top IoT use cases and data architecture strategies for managing the sheer volume and variety of IoT data
*Real-life case studies on how our customers are using Cloudera Enterprise to drive insights and analytics from all of their IoT data
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Standing Up an Effective Enterprise Data Hub -- Technology and BeyondCloudera, Inc.
Federal organizations increasingly are focused on creating environments that enable more data-driven decisions. Yet ensuring that all data is considered and is current, complete, and accurate is a tall order for most. To make data analytics meaningful to support real-world transformation, agency staff need business tools that provide user-friendly dashboards, on-demand reporting, and methods to manage efficiently the rise of voluminous and varied data sets and types commonly associated with big data. In most cases, existing systems are insufficient to support these requirements. Enter the enterprise data hub (EDH), a software architecture specifically designed to be a unified platform that can economically store unlimited data and enable diverse access to it at scale. Plan to attend this discussion to understand the key considerations to making an EDH the architectural center of your agency’s modern data strategy.
Seeking Cybersecurity--Strategies to Protect the DataCloudera, Inc.
Agency professionals are responsible for protecting the data they collect, store, analyze, and share. While Hadoop has been especially popular for data analytics given its ability to handle volume, velocity, and variety of data, this flexibility and scale can present challenges for securing and governing the data. Plan to attend this session to understand the Hadoop Security Maturity Model—from the fundamentals to the latest developments--and how to ensure your data analytics cluster complies with the latest INFOSEC standards and audit requirements. Bring your experience and your questions to this informative and interactive cybersecurity session.
Keynote: The Journey to Pervasive AnalyticsCloudera, Inc.
We are in the middle of a data rush. When you are right in the center of a storm, it can seem overwhelming. Where should I start? What do I need to think about? What is the best long-term bet? But don’t forget that more data should mean great news. More data should mean more insight, more guidance, and more strategic direction. However, more data doesn’t automatically rally your entire business around common goals and insights. You need a platform and architecture that can support a thriving, analytic-driven business culture that embraces a pervasive analytics strategy.
Innovation Without Compromise: The Challenges of Securing Big DataCloudera, Inc.
Hadoop is a powerful tool for today’s enterprise – providing unified storage of all data and metadata, regardless of format or source, and multiple frameworks for robust processing and analytics. However, this flexibility and scale also presents challenges for securing and governing this data.
Join IDC analysts, Carl Olofson and Mike Versace, as they discuss the changing world of big data security with Eddie Garcia, Information Security Architect at Cloudera, and Anil Earla, Chief Data and Analytics Officer of IS at Visa.
During this live roundtable discussion, you will:
Gain an understanding of how securing big data differs from traditional enterprise security
Learn about the latest tools and initiatives around Hadoop platform security
Hear how one of the largest payment processors approaches big data security and regulatory concerns
Put Alternative Data to Use in Capital Markets Cloudera, Inc.
Alternative data for capital markets, such as satellite imagery, logistics data, and social media feeds, has been getting a lot of attention recently. Like any trending topic, its uses and benefits can be hyped up a bit but if the right plumbing and creativity is in place, those benefits can be realized.
3 things to learn:
* Examples of alt data use cases, sources, and recent market trends
* Why a big data platform that facilitates self service and collaboration is critical in monetizing alternative data
* How alternative data can be applied to enhance current processes (Demo)
The Vision & Challenge of Applied Machine LearningCloudera, Inc.
Learn how Cloudera provides a unified platform that breaks down data silos commonly seen in organizations. By unifying the data needed for applied machine learning, organizations are better equipped to gather valuable insights from their data.
Capgemini Leap Data Transformation Framework with ClouderaCapgemini
https://www.capgemini.com/insights-data/data/leap-data-transformation-framework
The complexity of moving existing analytical services onto modern platforms like Cloudera can seem overwhelming. Capgemini’s Leap Data Transformation Framework helps clients by industrializing the entire process of bringing existing BI assets and capabilities to next-generation big data management platforms.
During this webinar, you will learn:
• The key drivers for industrializing your transformation to big data at all stages of the lifecycle – estimation, design, implementation, and testing
• How one of our largest clients reduced the transition to modern data architecture by over 30%
• How an end-to-end, fact-based transformation framework can deliver IT rationalization on top of big data architectures
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Cloudera is pioneering next generation data management solutions, enabling organizations to build an enterprise data hub (EDH) as the backbone to any IoT initiative.
2016 Cybersecurity Analytics State of the UnionCloudera, Inc.
3 Things to Learn About:
-Ponemon Institute's 2016 big data cybersecurity analytics research report
-Quantifiable returns organizations are seeing with big data cybersecurity analytics
-Trends in the industry that are affecting cybersecurity strategies
Discover the origins of big data, discuss existing and new projects, share common use cases for those projects, and explain how you can modernize your architecture using data analytics, data operations, data engineering and data science.
Big Data Fundamentals is your prerequisite to building a modern platform for machine learning and analytics optimized for the cloud.
We’ll close out with a live Q&A with some of our technical experts as well.
Discover the origins of big data, discuss existing and new projects, share common use cases for those projects, and explain how you can modernize your architecture using data analytics, data operations, data engineering and data science.
Big Data Fundamentals is your prerequisite to building a modern platform for machine learning and analytics optimized for the cloud.
We’ll close out with a live Q&A with some of our technical experts as well.
Stretch your brain with a packed agenda:
Open source software
Data storage
Data ingestion
Data analytics
Data engineering
IoT and life after Lambda architectures
Data science
Cybersecurity
Cluster management
Big data in the cloud
Success stories
Keynote from Big Data World Show Singapore, April 2015.
• How is data driving change?
• Where are the opportunities, across industries?
• What is required to gain value from data?
• How can you get started today?
Creating your Center of Excellence (CoE) for data driven use casesFrank Vullers
NEED FOR CHANGE: Data is changing the world. We all know that. The real challenge will be to keep up with those changes by hiring the right team to help you take on the data that is already in your organization.
STAFF FOR SUCCES: Make sure you have an executive sponsor that has a vision for how the organization can become data-driven; hire experienced team members to lead the data engineering, and architecture teams; and adopt agile methodologies to allow for quick experimentation and quick failures.
SKILL UP: In a recent survey focused on Spark, over 60 percent indicated that the skills/training gap was their biggest organizational challenges with Spark, but 65% of respondents indicated that they either did not know or had no future plans for training. Cloudera University to get them ramped up quickly. Cloudera University helps organizations tackle the skill gaps issue they encounter when growing their teams and helps them stay up to date on the latest supported technologies.
Cross Domain Solutions for SolarWinds from Sterling ComputersDLT Solutions
Ed Bender, Senior Federal SE Manager, SolarWinds, and Ben Chernicoff, Software Architect, Sterling Computers, present how Sterling’s technology partnership with SolarWinds addresses issues through specialized cross domain products and solutions that enable users to access information across multiple domains, while still ensuring fidelity of information within the appropriate classification level.
Don Maclean, Chief Cybersecurity Technologist, DLT Solutions, and Mav Turner, IT Security Business Unit, SolarWinds, share the most important things you can do to keep your networks and data safe, and what tools are available to help.
Symantec and ForeScout Delivering a Unified Cyber Security SolutionDLT Solutions
Tom Blauvelt from Symantec and Sean Telles and Chris Dullea from ForeScout share how both companies together can deliver a unified cyber security solution.
Deploying and Managing Red Hat Enterprise Linux in Amazon Web ServicesDLT Solutions
The Federal Cloud First policy mandates that agencies take full advantage of cloud computing benefits to maximize capacity utilization, improve IT flexibility and responsiveness, and minimize cost. But how can you safely and reliably begin to deploy and manage your Red Hat instances at cloud scale? With IT automation, you can more easily deploy and manage your Red Hat instances in the Amazon Web Services (AWS) public cloud.
In this webinar, we’ll demonstrate how to:
Automate the creation of Red Hat Enterprise Linux-based AWS instances
Apply a security baseline to the instances
Deploy and manage an application
Regardless of where you are in the cloud adoption process, leveraging IT automation can help smooth the transition to the cloud. Join the webinar to learn how.
T.J. Meehan, AIA, LEED AP / Vice President of Professional Services, shares how to implement BIM for owners from the Government Solutions Breakfast hosted by DLT Solutions and CADD Microsystems.
Autodesk Infrastructure Solutions for Government AgenciesDLT Solutions
Donnie Gladfelter, Technical Product and Online Manager, shares Autodesk infrastructure solutions for government agencies from the Government Solutions Breakfast hosted by DLT Solutions and CADD Microsystems.
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.
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.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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