Understanding the relevance of data governance services in these times of the pandemic, let’s see what data leaders can do to strengthen the data governance capabilities of their organization, besides taking the help of data governance companies.
Take a look at this interesting presentation on ➡ 3 Pillars to become successful with your analytics strategy
Inculcate a culture of analytics, have the right people on-board, get your organization strategy on one page, and have the right architecture and data management strategies in place.
Link: https://bit.ly/2BanJcW
How data scientists add value to your business organizationJanBask Training
Mostly data scientists are being trained in computer science, math and statistics. The expertise of data scientists can be used in data visualization, data mining, and the information management.
https://www.janbasktraining.com/data-science
The promise of digital analytics is better decision making that drives measurable business impact. Unfortunately, too many organizations are not realizing that promise despite significant effort and investment. Search Discovery's Analytics Benchmark assessment aids you in understanding where your measurement ecosystem is not working and provides you with a roadmap to finally recognize the return on your analytics investment.
Take a look at this interesting presentation on ➡ 3 Pillars to become successful with your analytics strategy
Inculcate a culture of analytics, have the right people on-board, get your organization strategy on one page, and have the right architecture and data management strategies in place.
Link: https://bit.ly/2BanJcW
How data scientists add value to your business organizationJanBask Training
Mostly data scientists are being trained in computer science, math and statistics. The expertise of data scientists can be used in data visualization, data mining, and the information management.
https://www.janbasktraining.com/data-science
The promise of digital analytics is better decision making that drives measurable business impact. Unfortunately, too many organizations are not realizing that promise despite significant effort and investment. Search Discovery's Analytics Benchmark assessment aids you in understanding where your measurement ecosystem is not working and provides you with a roadmap to finally recognize the return on your analytics investment.
Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
Improving the Customer's Experience through Data Analytics IQPC Exchange
Wells Fargo's presentation, "Improving the Customer's Experience through Data Analytics," gives Contact Center executives insight into data analytics, a case management/service team comparison and an action plan for incremental improvements.
It's not one or the other, or, one vs the other... MDM and DG are better together. And for good reasons.
Join Nicola Askham, The Data Governance Coach, as she discusses the relationship between Data Governance (DG) and MDM, how they benefit each other, and how to get maximum value from both.
Whitepaper: Helping you test drive your Big data for a progressive journey aheadIntellectyx Inc
PAPER OVERVIEW
Today most of the industries such as Banking, Finance, Manufacturing, Retail, etc... face common big data issues and are in search of the right solution to resolve them.
Do any of the following big data issues sound familiar to you?
• Supply Chain Analytics
• Managing Trend Analysis
• Data Management
• Market Mix Modelling
• Inventory Optimization
• Profitability Analysis
• Consumer Insights, Predict Consumer Behavior, Loyalty Programs Management
• Reporting and Dashboards Solutions for Management
If your answer is ‘Yes’, then Big Data POC is the perfect solution to all your problems.
Effective Solutions for Your Supply Chain RisksHalo BI
Have you considered the supply chain risks associated with your business? Here we’ll identify the most common risks, the departments they affect, and their potential financial impact on your company. We’ll also address some solutions for preparation, prediction, and management that can have a huge impact on your business.
Your supply chain shapes investment plans, production processes, manufacturing decisions, and more for the entire company. Using top-tier management tools ensures accuracy and provides you with a comprehensive view of your supply chain risks. Learn more about real supply chain impacts and innovative risk solutions below. http://halobi.com/2015/08/effective-solutions-for-your-supply-chain-risks
From insight to action - data analysis that makes a difference! - Heena JethwaIBM SPSS Denmark
Presentation from an IBM Business Analytics seminar, held the 22th of november 2012 at IBM Client Center Nordic.
Description:
Global competition has increased, and the need to meet customer demands has never been more important. It is essential that all parts of the company work efficiently to achieve success. IBM SPSS Predictive Analytics can help you increase efficiency and reduce costs at every stage of your operational processes. Predictive Analytics helps your organization to capture structured and textual data, so you can better manage its assets, maintain the infrastructure and capital equipment, as well as maximize the performance of your people, processes and assets.
Heena Jethwa, Program Director - Predictive Analytics Market Strategy, IBM
Beyond Firefighting: A Leaders Guide to Proactive Data Quality ManagementHarley Capewell
Tired of trying to fight data quality issues in a sporadic,
reactive fashion? This white paper by data quality expert
Dylan Jones draws on his many years of experience
helping organisations adopt a more proactive, holistic
view of data quality management.
Pythian Webinar ft Forrester - From Data to Insight: Trends in Data Management PythianMarketing
Industry pundits of all stripes are proclaiming the central role of data in the emerging digitally disrupted world. However, to get to visualization, predictive analytics, and data-driven insights, you first need data management.
This webinar presents Forrester's research on:
Why businesses are turning to data management outsourcers
What services they are looking for
How they are managing these engagements
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
Data Warehouse - a Fit-For-Purpose ApproachJohn Bao Vuu
According to Gartner, the failure rate for developing a successful data warehouse is about 50%. There are so many different reasons why and every expert will have their own valid opinion. A “fit-for-purpose” approach is designed to put business needs first. It is 1. Business driven, 2. Flexible, and 3. Incremental (Agile).
• Enterprise Decision Support Architecture
• Benefits of Data Warehouse
• Data Warehouse Implementation - “Fit-for-Purpose” Principles
• Strategic Business Alignment with Data Warehouse
• The Continuum of Data Warehouse
In simple words, DataOps is all about aligning the way you manage your data with the objectives you have for that data. Let’s know in detail what actually DataOps is!
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
Learn how to start a data governance initiative to ensure developing successful frameworks by leveraging the best practices outlined in this inforgraphic.
Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
Improving the Customer's Experience through Data Analytics IQPC Exchange
Wells Fargo's presentation, "Improving the Customer's Experience through Data Analytics," gives Contact Center executives insight into data analytics, a case management/service team comparison and an action plan for incremental improvements.
It's not one or the other, or, one vs the other... MDM and DG are better together. And for good reasons.
Join Nicola Askham, The Data Governance Coach, as she discusses the relationship between Data Governance (DG) and MDM, how they benefit each other, and how to get maximum value from both.
Whitepaper: Helping you test drive your Big data for a progressive journey aheadIntellectyx Inc
PAPER OVERVIEW
Today most of the industries such as Banking, Finance, Manufacturing, Retail, etc... face common big data issues and are in search of the right solution to resolve them.
Do any of the following big data issues sound familiar to you?
• Supply Chain Analytics
• Managing Trend Analysis
• Data Management
• Market Mix Modelling
• Inventory Optimization
• Profitability Analysis
• Consumer Insights, Predict Consumer Behavior, Loyalty Programs Management
• Reporting and Dashboards Solutions for Management
If your answer is ‘Yes’, then Big Data POC is the perfect solution to all your problems.
Effective Solutions for Your Supply Chain RisksHalo BI
Have you considered the supply chain risks associated with your business? Here we’ll identify the most common risks, the departments they affect, and their potential financial impact on your company. We’ll also address some solutions for preparation, prediction, and management that can have a huge impact on your business.
Your supply chain shapes investment plans, production processes, manufacturing decisions, and more for the entire company. Using top-tier management tools ensures accuracy and provides you with a comprehensive view of your supply chain risks. Learn more about real supply chain impacts and innovative risk solutions below. http://halobi.com/2015/08/effective-solutions-for-your-supply-chain-risks
From insight to action - data analysis that makes a difference! - Heena JethwaIBM SPSS Denmark
Presentation from an IBM Business Analytics seminar, held the 22th of november 2012 at IBM Client Center Nordic.
Description:
Global competition has increased, and the need to meet customer demands has never been more important. It is essential that all parts of the company work efficiently to achieve success. IBM SPSS Predictive Analytics can help you increase efficiency and reduce costs at every stage of your operational processes. Predictive Analytics helps your organization to capture structured and textual data, so you can better manage its assets, maintain the infrastructure and capital equipment, as well as maximize the performance of your people, processes and assets.
Heena Jethwa, Program Director - Predictive Analytics Market Strategy, IBM
Beyond Firefighting: A Leaders Guide to Proactive Data Quality ManagementHarley Capewell
Tired of trying to fight data quality issues in a sporadic,
reactive fashion? This white paper by data quality expert
Dylan Jones draws on his many years of experience
helping organisations adopt a more proactive, holistic
view of data quality management.
Pythian Webinar ft Forrester - From Data to Insight: Trends in Data Management PythianMarketing
Industry pundits of all stripes are proclaiming the central role of data in the emerging digitally disrupted world. However, to get to visualization, predictive analytics, and data-driven insights, you first need data management.
This webinar presents Forrester's research on:
Why businesses are turning to data management outsourcers
What services they are looking for
How they are managing these engagements
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
Data Warehouse - a Fit-For-Purpose ApproachJohn Bao Vuu
According to Gartner, the failure rate for developing a successful data warehouse is about 50%. There are so many different reasons why and every expert will have their own valid opinion. A “fit-for-purpose” approach is designed to put business needs first. It is 1. Business driven, 2. Flexible, and 3. Incremental (Agile).
• Enterprise Decision Support Architecture
• Benefits of Data Warehouse
• Data Warehouse Implementation - “Fit-for-Purpose” Principles
• Strategic Business Alignment with Data Warehouse
• The Continuum of Data Warehouse
In simple words, DataOps is all about aligning the way you manage your data with the objectives you have for that data. Let’s know in detail what actually DataOps is!
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
Learn how to start a data governance initiative to ensure developing successful frameworks by leveraging the best practices outlined in this inforgraphic.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Expert Strategies to Enhance Data Quality With Data Cleansing ServicesAndrew Leo
Explore proven strategies for improving data quality through effective data cleansing techniques. Enhance decision-making, streamline operations, and gain a competitive edge in the digital age. Delve into insightful blogs on optimizing data quality, discover practical tips, industry best practices, and innovative approaches to elevate your data management processes. Empower your business with reliable insights and stay ahead of the curve with our expert guidance.
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.
Mary is the founder of Sierra Creek Consulting
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
Data governance is a bunch of strategies and practices that ensure high quality through the complete lifecycle of your data. Data Governance is a practical and actionable framework to assist a wide range of data stakeholders across any organization in identifying and meeting their data requirements.
Getting Ahead Of The Game: Proactive Data GovernanceHarley Capewell
Data today is getting bigger, more widely available and
changing more quickly than ever before. Data Governance
coach Nicola Askham shares her advice on why you
need to embrace Data Governance NOW and what good
governance looks like.
Advanced data services can help you unlock the full potential of your data and gain a competitive advantage. By investing in data services, you can transform your raw data into actionable insights that can be used to improve every aspect of your business.
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
GCC Analytics Best Practices" is a comprehensive guide outlining the most effective strategies for leveraging analytics in GCC (Gulf Cooperation Council) countries. This PDF highlights key methodologies, tools, and case studies, empowering organizations to harness data-driven insights and make informed business decisions. From data collection and analysis to visualization and reporting, this resource offers invaluable guidance for optimizing analytics processes and maximizing ROI in the GCC region.
Impact of Coronavirus on Software and Services: Top Figures to Look atVivek Mishra
When the entire world gauged the severity of the coronavirus, it became clear that the virus will pose a significant impact on the global tech industry. Though it is difficult to predict the final effects of
COVID-19, early analysis predicts overall tech goods and services sector growth being limited to 2% is probable. There may be a contraction of 2% in the growth of this sector in a pessimistic situation.
Let us now look at a few of the key stats on how the coronavirus has affected software and services.
Cloud-Native Application Development – The Blueprint to SuccessVivek Mishra
If you wish to succeed in this fast-paced, software-driven market, organizations should change the way they design, build, and use applications. Speed-to-market is the key here. This implies that your apps should have a faster market turnaround time. Using cloud-native application development, you can build, run, and improve apps based on well-known techniques and technologies for cloud computing. The cloud computing model is based on the key principles of service-based architecture, DevOps processes, API-driven communication, and container-based infrastructure.
Having understood the relevance of cloud-native application development in today’s times, this infographic has recommendations for how to succeed in this type of app development.
Why Should You Enhance Digital Customer Experience in Healthcare?Vivek Mishra
Digital transformation in healthcare is an indomitable part of the “new normal.” The future is promising for the digital health industry, driven by apps and portals. Whether they are AI-powered chatbots, telehealth video conferencing, surgical robots, digital twins, or smart hospitals, delivering virtual healthcare is crucial for an unparalleled digital experience for patients. In the wake of the coronavirus pandemic, patients are increasingly seeking digital interactions in healthcare, with healthcare providers leveraging technology to help them meet their needs and also improve working processes through automation and AI.
Digital Customer Experience in Healthcare Industry: Key Statistics
How Should You Manage Data Governance During Coronavirus?Vivek Mishra
Understanding the relevance of data governance services in these times of the pandemic, let’s see what data leaders can do to strengthen the data governance capabilities of their organization, besides taking the help of data governance companies.
Cloud-Native Application Development – The Blueprint to SuccessVivek Mishra
If you wish to succeed in this fast-paced, software-driven market, organizations should change the way they design, build, and use applications. Speed-to-market is the key here. This implies that your apps should have a faster market turnaround time. Using cloud-native application development, you can build, run, and improve apps based on well-known techniques and technologies for cloud computing. The cloud computing model is based on the key principles of service-based architecture, DevOps processes, API-driven communication, and container-based infrastructure.
5 Tips to Keep in Mind for Improving Cloud PerformanceVivek Mishra
Any enterprise considering a move to the cloud must understand that the perceived benefits can be short-lived without a plan that places cloud computing in the context of the overall business strategy, and how it affects security, performance, and connectivity. There is no single cloud architecture that guarantees peak performance before, during, or after migration. However, there are a few tips to consider that can help you to make the most out of your cloud.
Ensuring the safety of workers and customers is the top priority of retailers. By their very nature, retail establishments bring people from different walks of life together in a single, confined space. It thus becomes most important for them to take steps and prevent the spread of coronavirus to workers and customers in their stores. Besides, offices must comply with their obligations to maintain good hygiene practices and enforce distancing amongst their employees. Though work-from-home has become the highlight of the “new normal”, not every business can run from the four walls of the house. This is where technology comes in handy and computer vision systems help to ensure that your workers are safe with minimal chances of repeated virus outbreaks.
Retailers are bound to ensure safety of not only their workers, but customers, which is why, computer vision systems is the best option they have. Learn how.
There’s no doubt that cloud technology has been invaluable to organizations over the last several years; it has fundamentally altered the way business is done by lowering IT costs, providing flexibility and scalability, and protecting business continuity. And the cloud isn’t going anywhere—in fact according to Gartner the worldwide cloud market is expected to grow by 17% to $266.4 billion in 2020 alone. But with the rise in cloud services and options, we have also witnessed a rise in the “dark side of the cloud,” with bad actors leveraging cloud services for various kill chain attacks that leave critical data vulnerable.
Check this infographic for top 5 cloud security risks in 2020, and what you can do to avoid them.
Does Your Data Catalog Tool Have These Capabilities?Vivek Mishra
There are several data catalog tools available in the market, and selecting the right ones is a critical decision with far reaching implications. With features like supporting metadata management, data inventory, data discovery, analysis and insight, and data governance, the catalog is a centerpiece of modern data management. We have outlined a list of capabilities that we believe are critical when implementing a data catalog across your organization.
Master Data Management (MDM) for Mid-MarketVivek Mishra
Over the years, MDM has catered to the data requirements of big players or large organizations. But in last few years due to its benefits, small and medium businesses (SMBs) are moving towards MDM to organize, categorize, and localize their master data according to the scale of operations and business processes.
Checkout our whitepaper to learn how master data management (MDM) can help you refine your data for optimal data usage. Discover the essential features of a successful MDM software, and explore how MDM can help improve your organization’s data quality, business insight, and more.
Application rationalization- Invest today to save tomorrow!Vivek Mishra
As organizations grow, their IT environment gets complex with all the digital applications acquired over time. Due to this, the platform is plagued by data silos and unstructured applications that do not work together anymore. This is where application portfolio rationalization or APR kicks in.
Learn how APR can help you in streamlining the existing application portfolio with an explicit goal of improving efficiency, reducing complexity, and lowering Total Cost of Ownership.
With all the rage of the rise of big data, organizations are realizing how does an effectively maintained and managed data can affect their bottom line. This where a data governance comes into the picture. The power of data is well recognized by the organizations and the lack of data management can cause a massive repercussion to the bottom line of your business. Every organization can have their own way of dealing with their data assets, but here is a checklist of some best practices to avoid some of the frequently experienced challenges
Compunnel’s digital expertise in data analytics helps you unlock multi-fold outcomes for your business by harnessing the power of all disruptive next-gen data technologies. We help you analyze the current state and develop a strong data foundation to optimize your business performance, and commercialize data opportunities.: https://www.compunneldigital.com/services/data-and-insights/
5 Fascinating Digital Customer Experience Statistics to Know This MonthVivek Mishra
Checkout this infographic that illustrates 5 most important digital customer experience statistics to help you gain better perspective of where “digital” is taking us.
5 Compelling Customer Experience Statistics you Must Know
Check out this infographic that highlights some of the interesting customer experience statistics which can change your perspective of customer experience and help you strategize.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.