Big data can transform businesses by improving key processes and turning data into business value. The document outlines four strategic business tactics for leveraging big data: 1) Using big data to power business strategy and make better, faster decisions. 2) Defining opportunities to monetize business insights from big data. 3) Enhancing user experiences with insights from big data. 4) Getting the latest insights from big data experts.
On behalf of SBI Consulting I’ve made a webinar on September 25th about Data Monetization.
In the post covid-19 era, transformation of businesses to govern their data more as an asset will become of huge importance. Becoming more data driven and digital will only increase at an unseen pace.
The essence of this transformation and the emphasis will be on Data Monetization. Monetizing your data assets will be of vital importance if you’d want to remain competitive and survive & thrive in the new normal.
In this webinar “Data Monetization in a post-Covid era”, I cover topics such as:
What does Data Monetization entails
Why Data Monetization is important for your business
How does the post-Covid era impacts this monetization process
What do we mean with Infonomics and Data Debt
The 5 key takeaways to get started with Data Monetization
The outcome? A good understanding of Data Monetization and practical insights to get going immediately!
Regardless of whether you’re selling digital services or doggie chow, all brands have to play by the same rules. As of 2018, the top 5 firms in the world are all data-driven companies: Google, Amazon, Apple, Facebook, and Microsoft.
A clear pattern has emerged in the past decade: brands that embrace digital and data on a strategic level (Amazon, Netflix, Apple) succeed, while the brands that don’t (Borders, Blockbuster, Kodak), fail.
Today, a brand’s adoption, popularity, and longevity hinge on how effectively the product and marketing teams are able to communicate with end-users. A recent Gallup poll found that organizations that leverage end-user data outperform peers by 85% in sales growth.
But what does it mean to become a data-centric organization? And how does data translate into real value for a brand?
5 Big Data stats that will convince your bossRedPixie
Well here you go, 5 big data stats that will hopefully give you the ammunition to show its impact and how industry leading publications are viewing the subject.
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?Capgemini
Analytics is seeing greater recognition amongst utility executives. Our research showed that 80% of utilities consider big data analytics as a source of new business opportunities and 75% see it as crucial for future success. Big Data indeed offers an exciting opportunity to transform utility operational effectiveness, while at the same time dealing with the historical problem of low customer satisfaction. Take operational efficiency alone. The annual cost of weather-related power outages to the U.S. economy is estimated to be between $18 billion to $33 billion. Organizations can use Big Data analytics to detect operational challenges and prevent outages, substantially reducing costs. Big Data also affords opportunities to utilities for inventing new business models through the data generated by the smart infrastructure.
The analytics opportunity for utilities is clear, but there continues to be a lack of real impetus and value delivery. Only 20% have already implemented big data analytics initiatives. What is putting the brakes on utilities?
In this paper, we highlight the big data opportunities that utilities can leverage and identify the challenges that are currently holding them back. We conclude the paper with concrete recommendations on how to ensure analytics drive business value.
On behalf of SBI Consulting I’ve made a webinar on September 25th about Data Monetization.
In the post covid-19 era, transformation of businesses to govern their data more as an asset will become of huge importance. Becoming more data driven and digital will only increase at an unseen pace.
The essence of this transformation and the emphasis will be on Data Monetization. Monetizing your data assets will be of vital importance if you’d want to remain competitive and survive & thrive in the new normal.
In this webinar “Data Monetization in a post-Covid era”, I cover topics such as:
What does Data Monetization entails
Why Data Monetization is important for your business
How does the post-Covid era impacts this monetization process
What do we mean with Infonomics and Data Debt
The 5 key takeaways to get started with Data Monetization
The outcome? A good understanding of Data Monetization and practical insights to get going immediately!
Regardless of whether you’re selling digital services or doggie chow, all brands have to play by the same rules. As of 2018, the top 5 firms in the world are all data-driven companies: Google, Amazon, Apple, Facebook, and Microsoft.
A clear pattern has emerged in the past decade: brands that embrace digital and data on a strategic level (Amazon, Netflix, Apple) succeed, while the brands that don’t (Borders, Blockbuster, Kodak), fail.
Today, a brand’s adoption, popularity, and longevity hinge on how effectively the product and marketing teams are able to communicate with end-users. A recent Gallup poll found that organizations that leverage end-user data outperform peers by 85% in sales growth.
But what does it mean to become a data-centric organization? And how does data translate into real value for a brand?
5 Big Data stats that will convince your bossRedPixie
Well here you go, 5 big data stats that will hopefully give you the ammunition to show its impact and how industry leading publications are viewing the subject.
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?Capgemini
Analytics is seeing greater recognition amongst utility executives. Our research showed that 80% of utilities consider big data analytics as a source of new business opportunities and 75% see it as crucial for future success. Big Data indeed offers an exciting opportunity to transform utility operational effectiveness, while at the same time dealing with the historical problem of low customer satisfaction. Take operational efficiency alone. The annual cost of weather-related power outages to the U.S. economy is estimated to be between $18 billion to $33 billion. Organizations can use Big Data analytics to detect operational challenges and prevent outages, substantially reducing costs. Big Data also affords opportunities to utilities for inventing new business models through the data generated by the smart infrastructure.
The analytics opportunity for utilities is clear, but there continues to be a lack of real impetus and value delivery. Only 20% have already implemented big data analytics initiatives. What is putting the brakes on utilities?
In this paper, we highlight the big data opportunities that utilities can leverage and identify the challenges that are currently holding them back. We conclude the paper with concrete recommendations on how to ensure analytics drive business value.
Artificial Intelligence and Machine Learning in the Insurance IndustryMaruti Techlabs
The insurance industry is facing tumultuous times with #technology shaping the way it operates.
Chatbots are employed in various industries today & pose massive opportunities for the insurance industry.
According to a report by @Business Insider, four top messenger apps have a combined user base of more than 3.5 billion, exceeding the combined user base of four largest social networks.
Machine learning capabilities are already being used in the insurance space in the form of automated policy writing.
Today, insurers are customizing rates for individuals based on their specific #data & historical records. AI is helping them achieve this scale of personalization.
AI is a critical factor of success for companies in the insurance industry & companies can leverage technology for fraud detection, claims #management, #analytics, & customer experience.
Insurance companies are also able to bundle services & products for each user separately, given the demand & use of services for them.
Since sales & marketing departments get better visibility of customer interests & insights on buying behaviour, they can sell according to buyer intention.
Link to the complete article in the comments below ⬇️
#ML #AI #artificialintelligence #machinelearning #insurance
SpringOne Platform 2019
Title: The Leadership Bottleneck
Speakers: Michael Coté, Director, Pivotal; Rick Clark, Field CTO, EMEA, Pivotal
Youtube: https://youtu.be/QZL-fPb-W7Q
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
This week, we look at Deloitte's "State of AI" report 2020, the results of Gartner's Data Management Survey, and we look at 3 actions CEOs must take today in order to cure their Cloud FOMO.
State of AI 2020 by Deloitte: Turns out early adopters buy MORE than they build and "HR reduction" is NOT AI's top benefit. More here.
"Data Volume ain't your problem", says Gartner. What is then?! More here.
Cloud FOMO?! See what McKinsey thinks every CEO needs to do here.
M&A or IPO? Just when you thought the point was "neither", Reid Hoffman explains.
Latest Trends in Data with Bernard Marr. A reverse interview here.
Comments & Suggestions?! Ping me @ linkedin.com/in/brunoaziza
10 Enterprise Analytics Trends to Watch in 2019 MicroStrategy
View insights from Forrester analyst Mike Gualtieri, Constellation Research’s Ray Wang and Doug Henschen, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon and other top analytics and business intelligence thought leaders.
10 Enterprise Analytics Trends to Watch in 2020MicroStrategy
As businesses face a 2020 reality check and use this year to hone their strategy for the next decade, MicroStrategy has compiled insights on the top enterprise analytics trends to watch from leading BI, analytics and digital transformation influencers including analysts from Forrester, IDC, Constellation Research, Ventana Research and more.
From artificial intelligence and mobile intelligence, to the explosion of data and data sources, to some very human factors, we hope you’ll find this gathering of insights (plus the patterns and themes that have emerged here) a valuable resource for taking action now, but also looking and planning ahead to become an Intelligent Enterprise.
Infographic | Quality of Data & Cost of Bad Data | Sapience AnalyticsSapience Analytics
As the quality of data becomes more and more crucial to the success of an organization, the cost of bad data goes staggeringly high.
Read this Infographic and understand the dependence of organizations on data in terms of:
Importance of data
Quality of data
Cost of bad data
Reasons for bad data quality
What CEOs want from CDOs and how to deliver on itIBM Analytics
Cortnie Abercrombie, Emerging Roles Leader, IBM gave this presentation on what Chief Executive Officers want from Chief Data Officers and how to deliver on it at CDOvision 2016.
Learn more about the various roles of CDOs: http://ibm.co/cdolookbook
Outlook on Artificial Intelligence in the Enterprise 2016Narrative Science
Based on a survey of 235 senior business executives, Narrative Science analyzed respondents' data to identify top 4 trends of artificial intelligence in the enterprise.
These eight ERP trends will significantly impact the ability of manufacturers and distributors to increase visibility & control of enterprise processes, improve decision making through better data collection, integrate core business functions, and automate processes to increase efficiencies and reduce costs.
The objective of this module is to take a look into what big data can bring you in the future.
Upon completion of this module you will:
- See what are the predictions for the future of Big Data
- Take a look at some trends that are emerging
- Get an overview of possible opportunities your company can have with Big Data
- Face some of the start up challenges you might have with Big Data
Duration of the module: approximately 1 – 2 hours
This presentation provides a brief insight into the need to undertake an analytics project, particularly as it pertains to claims management and fraud. To this end the presentation will touch on the general challenges confronting the property and casualty insurance industry, as well as the challenges and lessons learnt from early adopters of business intelligence. In the face of these challenges analytics holds the potential to generate substantial value as evidenced by several short case study examples. The presentation concludes with a look at the issue of fraud as it pertains to the industry and some of the metrics that are influenced by it.
The presentation draws extensively, and focuses on, the work and viewpoints from industry participants including; Accenture, IBM, Ernst & Young, Strategy Meets Action, Ordnance Survey, Gartner, Insurance Institute of America, American Institute for Chartered Property Casualty Underwriters, International Risk Management Institute and John Standish Consulting. References are included on each slide as well as on the “References” slides at the end of the presentation.
Life Sciences at RENCI - Big Data IT to Manage, Decipher, and InformEMC
This white paper provides best practices planning and use cases for using array-based and native replication solutions with EMC VPLEX Local and EMC VPLEX Metro.
Artificial Intelligence and Machine Learning in the Insurance IndustryMaruti Techlabs
The insurance industry is facing tumultuous times with #technology shaping the way it operates.
Chatbots are employed in various industries today & pose massive opportunities for the insurance industry.
According to a report by @Business Insider, four top messenger apps have a combined user base of more than 3.5 billion, exceeding the combined user base of four largest social networks.
Machine learning capabilities are already being used in the insurance space in the form of automated policy writing.
Today, insurers are customizing rates for individuals based on their specific #data & historical records. AI is helping them achieve this scale of personalization.
AI is a critical factor of success for companies in the insurance industry & companies can leverage technology for fraud detection, claims #management, #analytics, & customer experience.
Insurance companies are also able to bundle services & products for each user separately, given the demand & use of services for them.
Since sales & marketing departments get better visibility of customer interests & insights on buying behaviour, they can sell according to buyer intention.
Link to the complete article in the comments below ⬇️
#ML #AI #artificialintelligence #machinelearning #insurance
SpringOne Platform 2019
Title: The Leadership Bottleneck
Speakers: Michael Coté, Director, Pivotal; Rick Clark, Field CTO, EMEA, Pivotal
Youtube: https://youtu.be/QZL-fPb-W7Q
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
This week, we look at Deloitte's "State of AI" report 2020, the results of Gartner's Data Management Survey, and we look at 3 actions CEOs must take today in order to cure their Cloud FOMO.
State of AI 2020 by Deloitte: Turns out early adopters buy MORE than they build and "HR reduction" is NOT AI's top benefit. More here.
"Data Volume ain't your problem", says Gartner. What is then?! More here.
Cloud FOMO?! See what McKinsey thinks every CEO needs to do here.
M&A or IPO? Just when you thought the point was "neither", Reid Hoffman explains.
Latest Trends in Data with Bernard Marr. A reverse interview here.
Comments & Suggestions?! Ping me @ linkedin.com/in/brunoaziza
10 Enterprise Analytics Trends to Watch in 2019 MicroStrategy
View insights from Forrester analyst Mike Gualtieri, Constellation Research’s Ray Wang and Doug Henschen, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon and other top analytics and business intelligence thought leaders.
10 Enterprise Analytics Trends to Watch in 2020MicroStrategy
As businesses face a 2020 reality check and use this year to hone their strategy for the next decade, MicroStrategy has compiled insights on the top enterprise analytics trends to watch from leading BI, analytics and digital transformation influencers including analysts from Forrester, IDC, Constellation Research, Ventana Research and more.
From artificial intelligence and mobile intelligence, to the explosion of data and data sources, to some very human factors, we hope you’ll find this gathering of insights (plus the patterns and themes that have emerged here) a valuable resource for taking action now, but also looking and planning ahead to become an Intelligent Enterprise.
Infographic | Quality of Data & Cost of Bad Data | Sapience AnalyticsSapience Analytics
As the quality of data becomes more and more crucial to the success of an organization, the cost of bad data goes staggeringly high.
Read this Infographic and understand the dependence of organizations on data in terms of:
Importance of data
Quality of data
Cost of bad data
Reasons for bad data quality
What CEOs want from CDOs and how to deliver on itIBM Analytics
Cortnie Abercrombie, Emerging Roles Leader, IBM gave this presentation on what Chief Executive Officers want from Chief Data Officers and how to deliver on it at CDOvision 2016.
Learn more about the various roles of CDOs: http://ibm.co/cdolookbook
Outlook on Artificial Intelligence in the Enterprise 2016Narrative Science
Based on a survey of 235 senior business executives, Narrative Science analyzed respondents' data to identify top 4 trends of artificial intelligence in the enterprise.
These eight ERP trends will significantly impact the ability of manufacturers and distributors to increase visibility & control of enterprise processes, improve decision making through better data collection, integrate core business functions, and automate processes to increase efficiencies and reduce costs.
The objective of this module is to take a look into what big data can bring you in the future.
Upon completion of this module you will:
- See what are the predictions for the future of Big Data
- Take a look at some trends that are emerging
- Get an overview of possible opportunities your company can have with Big Data
- Face some of the start up challenges you might have with Big Data
Duration of the module: approximately 1 – 2 hours
This presentation provides a brief insight into the need to undertake an analytics project, particularly as it pertains to claims management and fraud. To this end the presentation will touch on the general challenges confronting the property and casualty insurance industry, as well as the challenges and lessons learnt from early adopters of business intelligence. In the face of these challenges analytics holds the potential to generate substantial value as evidenced by several short case study examples. The presentation concludes with a look at the issue of fraud as it pertains to the industry and some of the metrics that are influenced by it.
The presentation draws extensively, and focuses on, the work and viewpoints from industry participants including; Accenture, IBM, Ernst & Young, Strategy Meets Action, Ordnance Survey, Gartner, Insurance Institute of America, American Institute for Chartered Property Casualty Underwriters, International Risk Management Institute and John Standish Consulting. References are included on each slide as well as on the “References” slides at the end of the presentation.
Life Sciences at RENCI - Big Data IT to Manage, Decipher, and InformEMC
This white paper provides best practices planning and use cases for using array-based and native replication solutions with EMC VPLEX Local and EMC VPLEX Metro.
In Knowledge Management (KM), what is missing is 'Knowledge' but only Data. The old Data Management is called Knowledge Management reducing Knowledge into Data. Explains Theories of Knowledge Consumption and Production, Knowmatics and Knowledge Industry. Too much Data is injurious to mental health of children who need Knowledge, not Information.
White paper: EMC Performance Optimization for Microsoft FAST Search Server 20...EMC
This white paper describes the architecture of an enterprise-scale SharePoint collaboration farm with file share content and Microsoft FAST Search 2010 on EMC Symmetrix VMAX storage with EMC FAST VP enabled. Data protection is provided by EMC Replication Manager with the SharePoint content, the file share, and the FAST Search index.
A Digital Eurovision for European UnionRene Summer
A Digital Eurovision for the European Union – the next step for European Public Service Broadcasting without frontiers. Why and how we must increase the availability of public service broadcasting to the widest Pan-European use.
This paper aims to initiate a discussion in Europe about the future of mass media in relation to the possibilities that can be achieved through technological development and policy innovation to stimulate the rise of a Pan-European identity across the European Union. By classifying current affairs reporting (news, current affairs and documentaries) produced by/for public service broadcasters (PSB) to fall within the definition of Open Government Data, European policy makers will unlock access to a wealth of European PSB content for European citizens, journalists and new start-ups to access, interact with, aggregate and disseminate. Such policy innovation not only comes with the already acknowledged economic benefits associated with open data and data-driven innovation; it also helps stimulate the creation of a strong Pan-European identity through increased Pan-European access to national stories, news and identity projections.
Creating a VMware Software-Defined Data Center Reference Architecture EMC
This reference architecture describes an implementation of a software-defined data center (SDDC) using VMware vCloud® Suite Enterprise 5.8, VMware NSXTM for vSphere® 6.1, VMware IT Business Management SuiteTM Standard Edition 1.1, and VMware vCenterTM Log InsightTM 2.0 to create an SDDC. This SDDC implementation is based on real-world scenarios, user workloads, and infrastructure system configurations. The configuration uses industry-standard servers, IP-based storage, and 10-Gigabit Ethernet (10GbE) networking to support a scalable and redundant architecture.
An overview of the solution and the logical architecture as well as results of the tested physical implementation are provided. Consult with your VMware representative as to how to modify the architecture to suit your business needs.
The Evolution of IP Storage and Its Impact on the NetworkEMC
This white paper addresses the increased stresses on infrastructure resulting from virtualization and the importance of attending to infrastructure design and support, especially with regard to the network.
The objective of this module is to provide an overview of what the future impacts of big data are likely to be.
Upon completion of this module you will:
Gain valuable insight into the predictions for the future of Big Data
Be better placed to recognise some of the trends that are emerging
Acquire an overview of the possible opportunities your business can have with Big Data
Understand some of the start up challenges you might have with Big Data
Who needs Big Data? What benefits can organisations realistically achieve with Big Data? What else required for success? What are the opportunities for players in this space? In this paper, Cartesian explores these questions surrounding Big Data.
www.cartesian.com
Big Data for Marketing: When is Big Data the right choice?Swyx
Chief Marketing Officers (CMOs) without plans for Big Data may be putting themselves and
their companies at a competitive disadvantage. Big Data is already being widely deployed to enhance marketing responsibilities, although the small number of widely-touted success stories might be masking a significant number of failed implementations. When correctly planned and implemented, however, Big Data can create significant value for CMOs and their organisations. In this paper, we focus on describing specific examples of how Big Data can support CMO responsibilities and developing frameworks for identifying Big Data opportunities.
Big Data for Marketing: When is Big Data the right choice?Swyx
Chief Marketing Officers (CMOs) without plans for Big Data may be putting themselves and
their companies at a competitive disadvantage. Big Data is already being widely deployed to enhance marketing responsibilities, although the small number of widely-touted success stories might be masking a significant number of failed implementations. When correctly planned and implemented, however, Big Data can create significant value for CMOs and their organisations. In this paper, we focus on describing specific examples of how Big Data can support CMO responsibilities and developing frameworks for identifying Big Data opportunities.
Data Mining: The Top 3 Things You Need to Know to Achieve Business Improvemen...Dr. Cedric Alford
While companies have been using various CRM and automation technologies for many years to capture and retain traditional business data, these existing technologies were not built to handle the massive explosion in data that is occurring today. The shift started nearly 10 years ago with expanding usage of the internet and the introduction of social media. But the pace has accelerated in the past five years following the introduction of smart phones and digital devices such as tablets and GPS devices. The continued rise in these technologies is creating a constant increase in complex data on a daily basis.
The result? Many companies don't know how to get value and insights from the massive amounts of data they have today. Worse yet, many more are uncertain how to leverage this data glut for business advantage tomorrow. In this white paper, we will explore three important things to know about big data and how companies can achieve major business benefits and improvements through effective data mining of their own big data.
Dr. Cedric Alford provides a roadmap for organizations seeking to understand how to make Big Data actionable.
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.
Big Data Trends and Challenges Report - WhitepaperVasu S
In this whitepaper read How companies address common big data trends & challenges to gain greater value from their data.
https://www.qubole.com/resources/report/big-data-trends-and-challenges-report
IT and business leaders must increase their efforts to evolve from traditional BI tools, that focus on descriptive analysis (what happened), to advanced analytical technologies, that can answer questions like “why did it happen”, “what will happen” and “what should I do”.
"While the basic analytical technologies provide a general summary of the data, advanced analytical technologies deliver deeper knowledge of information data and granular data.” - Alexander Linden, Gartner Research Director
The reward of a smarter decision making process, based on Data Intelligence, is a powerful driver to improve overall business performance.
Wiseminer is the only and most efficient end-to-end Data Intelligence software to help you make smarter decisions and drive business results.
Contact us: info@wiseminer.com
Six Mistakes Companies Are Making Today And How You Can Avoid ThemFindWhitePapers
"Look for additional opportunities to use business intelligence to uncover value and drive
improvements. Consider advanced planning tools that can help close the gap between
strategy and execution. Expand the use of sophisticated what-if analyses to model the
operational and financial impact of multiple scenarios on revenue, costs, and cash flow."
This whitepaper from IBM shows how your organisation can implement a Big Data Analytics solution effectively and leverage insights that can transform your business.
INDUSTRY-LEADING TECHNOLOGY FOR LONG TERM RETENTION OF BACKUPS IN THE CLOUDEMC
CloudBoost is a cloud-enabling solution from EMC
Facilitates secure, automatic, efficient data transfer to private and public clouds for Long-Term Retention (LTR) of backups. Seamlessly extends existing data protection solutions to elastic, resilient, scale-out cloud storage
Transforming Desktop Virtualization with Citrix XenDesktop and EMC XtremIOEMC
With EMC XtremIO all-flash array, improve
1) your competitive agility with real-time analytics & development
2) your infrastructure agility with elastic provisioning for performance & capacity
3) your TCO with 50% lower capex and opex and double the storage lifecycle.
• Citrix & EMC XtremIO: Better Together
• XtremIO Design Fundamentals for VDI
• Citrix XenDesktop & XtremIO
-- Image Management & Storage
-- Demonstrations
-- XtremIO XenDesktop Integration
EMC FORUM RESEARCH GLOBAL RESULTS - 10,451 RESPONSES ACROSS 33 COUNTRIES EMC
Explore findings from the EMC Forum IT Study and learn how cloud computing, social, mobile, and big data megatrends are shaping IT as a business driver globally.
Reference architecture with MIRANTIS OPENSTACK PLATFORM.The changes that are going on in IT with disruptions from technology, business and culture and so IT to solve the issues has to change from moving from traditional models to broker provider model.
Force Cyber Criminals to Shop Elsewhere
Learn the value of having an Identity Management and Governance solution and how retailers today are benefiting by strengthening their defenses and bolstering their Identity Management capabilities.
Container-based technology has experienced a recent revival and is becoming adopted at an explosive rate. For those that are new to the conversation, containers offer a way to virtualize an operating system. This virtualization isolates processes, providing limited visibility and resource utilization to each, such that the processes appear to be running on separate machines. In short, allowing more applications to run on a single machine. Here is a brief timeline of key moments in container history.
This white paper provides an overview of EMC's data protection solutions for the data lake - an active repository to manage varied and complex Big Data workloads
This infographic highlights key stats and messages from the analyst report from J.Gold Associates that addresses the growing economic impact of mobile cybercrime and fraud.
This white paper describes how an intelligence-driven governance, risk management, and compliance (GRC) model can create an efficient, collaborative enterprise GRC strategy across IT, Finance, Operations, and Legal areas.
The Trust Paradox: Access Management and Trust in an Insecure AgeEMC
This white paper discusses the results of a CIO UK survey on a“Trust Paradox,” defined as employees and business partners being both the weakest link in an organization’s security as well as trusted agents in achieving the company’s goals.
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/
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/
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
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
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
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
