Big Data Sheds New Light On Leading Cause Of Death In Hospitals

May 29, 2019 | 88 views

Hospitals should reconsider the prevailing one-size-fits-all approach for treating sepsis, according to new research from the University of Pittsburgh. A quarter of a million Americans die from sepsis each year. The disease occurs when the body responds to a severe infection by damaging its own tissues and organs.Pitt researchers fed the medical records of thousands of sepsis patients across the country into a machine learning alogirthm, which determined that there are actually four subtypes of sepsis. The subtypes vary in how aggressive they are and how they affect the body."There are so many differences in the types of infection and types of patients," said lead author and Pitt professor Christopher Seymour. "Perhaps there are different types of sepsis that could be treated differently."The types range from Alpha, the most common with the least abnormal lab test results, to Delta, the least common but most deadly type

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Fenchurch Associates is a recruitment agency for permanent and contract resources within the Analytics sector across a variety of Industries, with a particular focus for the Actuarial and Analytics professionals.

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BIG DATA MANAGEMENT

Augmented Analytics: The Next-Big Thing in Data Analytics

Article | July 6, 2022

The next significant wave in data and analytics will empower businesses to achieve business value quicker, more effectively, and on a far wider scale. The integration of artificial intelligence and predictive analytics alters the way analytical material is produced, consumed, and shared. Yes, we are discussing augmented analytics. Augmented analytics assists in digging deeper into the "why" of the result and produces more accurate predictions. Augmented Analytics: A Valuable Tech for Businesses How Augmented Analytics Empowers Marketers in Making Better Decisions and Converting Prospects Marketing teams all across the globe are battling with frozen or declining budgets, yet they are still expected to generate pipelines and increase revenue. The great news is that, due to the advantages of augmented analytics, marketers no longer have to depend just on gut sense, previous experience, estimations, or trial and error. Instead, they can depend on data-driven marketing choices that are based on insights generated by augmented analytics. Augmented analytics uses AI and ML to discover key drivers and helps marketers understand why metrics change. Augmented analytics provides recommendations and actionable insights to marketers and helps them improve campaign outcomes. Augmented analytics reduces time-to-insight by automatically surfacing actionable insights on various customer data points to increase conversion and win. Augmented analytics minimize human work and turnaround time on insights, assisting marketers in recognizing areas of greatest potential and increasing ROI on marketing expenditures. According to Salesforce Research, the top reason marketers embraced AI in 2021 was to drive the next best actions. That is exactly what augmented analytics offers marketers: the ability to provide actionable insights to teams. Closing Notes Every day, the incredible rise of IoT devices generates massive amounts of data. The AI-powered analytical tools can extract the maximum value from the data.

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BIG DATA MANAGEMENT

Can Blockchain Change The Game Of Data Analytics And Data Science?

Article | July 11, 2022

Blockchain has been causing ripples across major industries and verticals in the recent couple of years. We are seeing the future potential of blockchain technology that is scaling beyond just cryptocurrencies and trading. It is only natural that Blockchain is going to have a huge impact on Data Analytics, another field that has been booming and seems to continue in the same trajectory for the foreseeable future. However, very little research has been done on the implications of blockchain on Data Science or the potential of Data Science in Blockchain. While Blockchain is about validating data and data science is about predictions and patterns, they are linked together by the fact that they both use algorithms to control interactions between various data points. Blockchain in Big Data Analytics Big Data has traditionally been a very centralized method where we had to collate data from various sources and bring it together in one place. Blockchain, considering its decentralized nature can potentially allow analysis of data to happen at the origin nodes of individual sources. Also, considering that all data parsed through blockchain is validated across networks in a fool proof manner, the data integrity is ensured. This can be a game changer for analytics. With the digital age creating so many new data points and making data more accessible than ever, the need for diving into depth with advanced analytics has been realized by businesses around the world. However, the data is still not organized and it takes a very long time to bring them together to make sense of it. The other key challenge in Big Data remains data security. Centralized systems historically have been known for their vulnerability for leaks and hacks. A decentralized infrastructure can address both of the above challenges enabling data scientists to build a robust infrastructure to build a predictive data model and also giving rise to new possibilities for more real time analysis. Can Blockchain Enhance Data Science? Blockchain can address some of the key aspects of Data Science and Analytics. Data Security & Encoding: The smart contracts ensure that no transaction can be reversed or hidden. The complex mathematical algorithms that form the base of Blockchain are built to encrypt every single transaction on the ledger. Origin Tracing & Integrity: Blockchain technology is known for enabling P2P relationships. With blockchain technology, the ledgers can be transparent channels where the data flowing through it is validated and every stakeholder involved in the process is made accountable and accessible. This also enables the data to be of higher quality than what was possible with traditional methods. Summing Up Data science itself is fairly new and advancing in recent years. Blockchain Technology, as advanced as it seems, is still at what is believed to be a very nascent stage. We have been seeing an increasing interest in data being moved to the cloud and it is only a matter of time when businesses will want it to be moved to decentralized networks. On the other hand, blockchain’s network and server requirements are still not addressed and data analytics can be very heavy on the network, considering the volume of data collected for analysis. With very small volumes of data stored in blocks, we need viable solutions to make sure data analysis in blockchain is possible at scale. At Pyramidion, we have been working with clients globally on some exciting blockchain projects. These projects are being led by visionaries, who are looking to change how the world functions, for good. Being at the forefront of innovation, where we see the best minds working on new technologies, ICOs and protocols, we strongly believe it is only a matter of time before the challenges are addressed and Blockchain starts being a great asset to another rapidly growing field like Data Science and Data Analytics.

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BIG DATA MANAGEMENT

Maximize ROI with Marketing Analytics Technology

Article | July 5, 2022

Every business tries to improve their return on investment (ROI) every year by deploying different marketing strategies and technologies. Businesses are constantly adding new technologies to their content stack in order to enhance their efficiency and boost their revenue and growth. Data is inevitable in today's digital era, and Dan Zarrella correctly describes its role in marketing. He stated, "Marketing without data is like driving with your eyes closed." Indeed, the development of better marketing analytics tools and methodologies in recent years has provided business leaders with tremendous added decision-making power. Marketing analytics enables businesses to harness data points about their prospects and their journey through the selling process to enhance the effectiveness of their go-to-market efforts while optimizing ROI. The benefits can be experienced across teams and business segments. According to Hubspot, over 75% of marketers are reporting on how their campaigns are directly influencing revenue because of marketing analytics tools. So, let’s dive deeper and understand why marketing analytics matters. Why Does Marketing Analytics Matter? Marketing campaigns are just tossed into the world with little or no information about how your target audience responds to your marketing strategies. This happens in cases where business analytics tools are not used. Without employing marketing analytics, it can be said that a business is operating in the dark. Here are the reasons why marketing analytics matters. Quantifiable Actions Marketing analytics tools provide you with reliable matrices and insights into the varied marketing strategies that are implemented. Whenever numbers are presented, concrete data for the marketing effort is provided. For example, if you launched a content marketing campaign and have reliable data, it's easy to see that overall sales improved as a result of that marketing push. Campaign Analyses Only marketing analytics can provide a complete overview of how a marketing campaign or strategy actually performed. The data can be dug deeper to track individual messaging across a broad spectrum of outlets, making sure no approach is wasted. Plan for the Future Once you have an understanding of which marketing strategies are meeting expectations, you will be able to plan strategically for future marketing initiatives. Not only is this helpful for organizing marketing efforts, but it also makes it easier to allocate funds across boards. Maximize ROI with Marketing Analytics When marketers use marketing analytics tools, they can find patterns and signs that can be used to improve the performance of their company. This data can assist account managers to acquire new prospects, reallocate marketing expenditures to the most effective channels, and forecast future possibilities. Integration of marketing analytics software into the sales process can save time, boost revenue, and maximize ROI. Lead Prospecting Marketing analytics can enhance customer acquisition in multiple ways. Many marketers merely acquire data about website visitors and ad viewers via ad networks. They just receive basic demographic data, not tips about how to convert leads to sales. Marketing analytics tracks every prospect in your sales funnel or website in real-time. With a detailed picture of your potential customers, you can recognize qualified leads and target them with marketing. Using data insights, you can boost sales, get rid of bottlenecks, increase conversions, and find opportunities that were hidden in plain sight. Campaign Performance Monitoring Online advertising and marketing have the distinct advantage of allowing campaign managers to keep checks on ad performance in real-time. Businesses can use marketing ROI metrics like clicks, impressions, and conversions to figure out which ads work best. Real-time campaign monitoring is a valuable tool for today's marketers. Placements that are underperforming are paused or modified, while those with a great ROI could get extra ad revenue. These insights usually result in more efficient ad spending. Information from different media channels and data from online applications can be put together to learn about the prospect-to-customer journey. Demand Forecasting With suitable data at the right time, marketers gain more power. Tracking historical data is essential to identifying patterns and predicting demand. Seasonal patterns, for example, can have a significant impact on how well a campaign performs. Detailed research can indicate these factors and assist you in re-allocate or altering your marketing investment. Understanding the product or campaign performance helps to identify which items will be in high demand in the future quarter through the use of marketing analytics. Boost Sales Consumers are more knowledgeable than ever before. Reviews, social networks, blogs, etc., now influence most purchasing decisions. Marketing analytics provides valuable information. Focus on how marketing impacts sales to evaluate ROI. When to contact a potential customer, which product would have the most impact, and who is best suited to close the deal. Find sales-boosting marketing strategies. Marketing analytics can enhance revenue by: Understanding the decision-making process of a consumer. Tracking website user behavior and sales trends. Discussing your ROI strategy with the entire company, rather than just the sales or marketing teams. Summing Up For marketers, the use of marketing analytics technology is undoubtedly going to grow over time. You can boost your marketing ROI by using the best marketing analytics tools. Marketing ROI is mostly determined by how successful you are at developing and executing your company's marketing strategy. If you use the right marketing analytics, you can cut your marketing costs, make more people want your brand, and increase sales. FAQ What are the main components of marketing analytics? An effective marketing analytics strategy must have the following three capabilities: Scalability: Your approach must be able to grow and adapt to the changing requirements of the future. Sustainability: Having the appropriate team is essential to long-term sustainability. Affordability: Analytical is a sound investment, but the budget must be in sync with projected growth. What technology do most marketing analysts use? Marketing analysts can require various technologies related to: Statistical analysis software (e.g., R, SAS, SPSS, or STATA) SQL databases and database querying languages. What is digital marketing analytics? Customer behavior is translated into actionable company data through digital marketing analytics. Businesses can use digital analytics tools to learn more about what customers are doing online, why they're doing it, and how this behavior can be used in digital marketing campaigns.

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BUSINESS INTELLIGENCE

Business Intelligence VS Predictive Analytics: Key Differentiators

Article | May 18, 2022

Predictive analytics and business intelligence have become some of the most important tools for businesses because of their outstanding capabilities. Most people believe that predictive analytics is a part of business intelligence (BI), but that is not the case. If we look at the definition of business intelligence, we can argue that predictive analytics actually falls under the umbrella of BI, but that's not entirely true. While that definition is pretty much correct for both terms, if we dig down a little deeper, we will see that there are significant differences between business intelligence and predictive analytics in both practices as well as theories. Let’s drill down to understand the key differentiators between predictive analytics and business intelligence. Key Differentiators: Predictive Analytics VS BI BI seeks to answer queries like "what happens now" and "what is happening now," whereas predictive analytics tries to predict "what will happen" and provides a more practical method to assess information. Data Raw data is processed into insights for direct consumer use during the business intelligence process. With predictive analytics, unstructured data is turned into structured data that can be used to make predictions about the future. Decision Users can make decisions based on insights provided by business intelligence. Businesses can use predictive analytics to make decisions based on facts, data sets, and predictions. Purpose The objective of business intelligence tools is to equip users with information about their company's historical data performance. Predictive analytics utilizes forecasting techniques to help in the solving of complex business challenges. Methods Business intelligence uses data visualization, data mining, reporting, dashboards, OLAP, etc., with previous performance indicators. Predictive analytics predicts future occurrences and analyzes raw data patterns. Technologies Ad-hoc reporting technology, alerting technology, and other technologies are covered in business intelligence. Predictive analytics includes technologies such as predictive modeling, forecasting, etc. Use Predictive Analytics in Business Intelligence to Optimize Marketing Efforts Businesses now have a plethora of information about their customers’ and target audience's purchasing patterns and preferences, all thanks to business intelligence insights. With all of this information, predictive analytics can determine the possibility of a consumer purchasing a product, allowing businesses to target their marketing efforts on customers who are more likely to purchase their items. Businesses that employ predictive analytics and business intelligence solutions can constantly remain one step ahead of their competition. Summing Up At times, the sheer variety of tools available can be intimidating, and misinformation can sometimes hamper the selection process of technology. Business intelligence and predictive analytics are two of the most productive technologies in the market, but when combined, they can do wonders for businesses.

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Fenchurch Associates

Fenchurch Associates is a recruitment agency for permanent and contract resources within the Analytics sector across a variety of Industries, with a particular focus for the Actuarial and Analytics professionals.

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BUSINESS STRATEGY

BigID Expands Its Data Protection Leadership in AWS Coverage & Integration

BigID | July 26, 2022

BigID, the leading data intelligence platform that enables organizations to know their enterprise data and take action for privacy, security, and governance, continues its market leadership in cloud data protection and risk posture solutions in both coverage and native integrations with AWS. With more native controls for AWS than any other data security solution, customers gain more insight into their data, integrated support, and deep data protection across their cloud data: More Native AWS Cloud Coverage - including AWS S3, DynamoDB, Redshift, EMR, RDS, Aurora, Athena, Kinesis More Auxiliary AWS Cloud Coverage - including Snowflake, Databricks, MongoDB, Atlas, Cassandra, Couchbase, CockroachBD, Postgres More Native AWS Identity & Access Support - including AWS IAM Roles, AWS KMS, AWS Secrets Manager More Native AWS Account Governance- including AWS Security Hub, AWS Control Tower, AWS Config More Native AWS Data Governance - including AWS Glue & Lake Formation data tagging & access controls More Automated AWS Data Discovery - including Global Accounts, Nested Accounts, Ephemeral Resources, New Bucketsv BigID solutions - including BigID's data intelligence platform alongside SmallID - provide unmatched coverage, integration, and control for data protection and privacy in AWS cloud, and are available in the AWS Marketplace. About BigID BigID's data intelligence platform enables organizations to know their enterprise data and take action for privacy, security, and governance. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. BigID has been recognized for its data intelligence innovation as a 2019 World Economic Forum Technology Pioneer, named to the 2021 Forbes Cloud 100, the 2021 Inc 5000 as the #19th fastest growing company and #1 in Security, a Business Insider 2020 AI Startup to Watch, and an RSA Innovation Sandbox winner.

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BIG DATA MANAGEMENT

Cloud-based Solution Provider 2600Hz Chooses Pica8 For Their Data Centers

Pica8 | July 15, 2022

2600Hz is a telecom services provider delivering cloud communications solutions to MSPs, ISPs, and telecom resellers. 2600Hz's platform KAZOO modernizes how businesses provide communications services to their customers. Whether it be voice, mobile, video, fax or SMS, 2600Hz simplifies and opens the cryptic black box of telecom. 2600Hz is privately held and is based in the San Francisco Bay area, with international offices. 2600Hz had standardized on Edgecore equipment with Cumulus Linux before NVIDIA acquired Cumulus and stopped supporting Broadcom. 2600Hz wanted to stay on an open networking platform to avoid lock-in. Upgrading to a Pica8 solution allowed 2600Hz to retain their hardware system of choice, and enabled a logical path to upgrade for future expansion. Products Used After a short evaluation, 2600Hz initially upgraded a small cluster from Cumulus to PicOS, and over time have transitioned 3 sites to PicOS. Pica8 spine/leaf software switches are deployed using Edgecore Open Network Platform in three Data Centers: New Jersey, Chicago and Sunnyvale Deployment Notes 2600Hz uses PicOS in both Top-of-Rack (TOR) and aggregation switches. The use cases are standard Data Center Networks where the TOR uses an MLAG configuration for high availability and the aggregation layer requires L3 routing. For the TOR layer, the MLAG must provide maximum LACP flexibility, including LACP fallback and fast mode, to enable PXE boot and fast fail over handling for various servers. "When asked about the decision process of choosing Pica8 during the evaluation stage, pointed out that support of open networking standards was crucial. PicOS is a Linux based NOS running on an unmodified Debian Linux. Orchestration with Ansible was the decisive factor in choosing Pica8. It is very similar to Juniper Junos. Anyone with Junos experience will easily make the transition to PicOS with minimal training The migration itself was done easily, and usability was intuitive. He highlighted the role of Pica8 Support in the transition process Pica8 Support has been extremely helpful to introduce features that the network depends on. LACP Fall Back is an example. This made the transition from Cumulus to Pica8 easier. PicOS integrates with 2600Hz's product offerings such as Self Sign-up; PicOS is very easy to use." -Tyler Kiziah, DevOps Manager2600Hz. About Pica8- Pica8 is the industry's open networking software alternative to Cisco, Juniper and Arista for the enterprise. Pica8's AmpCon™ Network Controller for centralized management and automation and PicOS® Software Switches for networking and security have successfully replaced Cisco DNA Center and Catalyst Switches and competing Juniper and Arista solutions for campus, data center and distributed site networks within Fortune 500 enterprises. Pica8 software is deployed at over 1,000 customers in over 40 countries.

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BIG DATA MANAGEMENT

Synopsys Launches the Era of Smarter SoC Design with ML-Driven Big Data Analytics Technology

Synopsys | June 03, 2022

Driving greater design productivity by harnessing previously untapped design insights with machine learning technology, Synopsys, Inc. (Nasdaq: SNPS) today announced a critical expansion of its EDA data analytics portfolio with the introduction of Synopsys DesignDash design optimization solution. As a complementary product to Synopsys' market-leading Digital Design Family and Synopsys DSO.ai™, the award-winning AI-driven design-space-optimization solution, Synopsys DesignDash is a comprehensive data-visibility and machine intelligence-guided design optimization solution that enables unmatched productivity in advanced SoC design. The Synopsys DesignDash solution delivers a real-time, unified, 360-degree view of all design activities for faster decision making, a deeper understanding of run-to-run, design-to-design and project-to-project trends, and enhanced collaboration in the SoC development process. "As a leading supplier of SoCs that are powering and transforming numerous high-impact industries, we pride ourselves on being able to push the limits of achievable device performance while also accelerating our customers' time-to-market," said Hiroshi Ikeda, director, Methodology Development Office, Global Development Group at Socionext. "We're very excited by the Synopsys DesignDash analytics solution as a systematic way to capture, consume and evaluate our vast design activity in a scalable way, enabling us to share and transfer expert knowledge across our worldwide design teams to enhance productivity and efficiency." Unlocking the Potential Within Vast Volumes of Digital Design Data The digital design flow holds a wealth of information from myriad sources that, properly utilized, could help teams optimize increasingly complex designs faster. According to Gartner® Inc., "By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical- and domain-specific augmented analytics solutions."1. The introduction of Synopsys DesignDash is the latest step in a multi-year, multi-disciplinary development effort to address the need for exponential gains in design productivity in the face of massive growth in system complexity, shrinking market windows and an increasingly challenging resource landscape. The cloud-optimized Synopsys DesignDash design optimization solution greatly enhances design productivity by: Providing extensive real-time design status through powerful visualizations and interactive dashboards. Deploying deep analytics and machine learning to extract and reveal actionable understanding from vast volumes of structured and unstructured EDA metrics and tool-flow data. Quickly classifying design trends, identifying design limitations, providing guided root-cause analysis and delivering flow consumable, prescriptive resolutions. With deeper design insights, designers can achieve more effective debug and optimization workflows, realize improved quality of results (QoR) and significantly extend overall design- and project-flow efficiency and effectiveness. This extensive insight and real-time visibility additionally deliver comprehensive resource monitoring and tracking that spans all design activities, enabling more data-driven management and risk mitigation throughout the design process. Synopsys DesignDash is natively integrated with the Synopsys Digital Design family of products for seamless data capture, resulting in insights that further accelerate the path towards design closure. The solution complements the Synopsys SiliconDash product, part of the Synopsys Silicon Lifecycle Management Family, forming a pre-silicon to post-silicon data continuum, maximizing opportunities for valuable data analysis across the complete design-to-silicon lifecycle. "SoC complexity across all application niches continues to rise as more functionality and performance is required. "Through the data analytics and machine learning capabilities of the Synopsys DesignDash technology, engineering teams now have an efficient way to share and utilize valuable insights that would otherwise take hours of manual work to compile or, in some cases, not be accessible." Karl Freund, founder, and principal analyst at Cambrian-AI Research "The semiconductor industry needs a dramatic improvement in design process productivity. Improving the quality and speed of engineering decisions with a comprehensive EDA data analytics platform is a critical step in this direction," said Sanjay Bali, vice president of Marketing and Strategy for the Silicon Realization Group at Synopsys. "Synopsys DesignDash unlocks the potential of the significant and growing volumes of EDA metrics and design-flow data, heralding a new era in smarter IC design by deploying an expanse of advanced data analytics and targeted machine learning to effectively guide design teams to achieve or exceed their product goals and schedules." About Synopsys Synopsys, Inc. is the Silicon to Software™ partner for innovative companies developing the electronic products and software applications we rely on every day. As an S&P 500 company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and offers the industry's broadest portfolio of application security testing tools and services. Whether you're a system-on-chip (SoC) designer creating advanced semiconductors, or a software developer writing more secure, high-quality code, Synopsys has the solutions needed to deliver innovative products.

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BUSINESS STRATEGY

BigID Expands Its Data Protection Leadership in AWS Coverage & Integration

BigID | July 26, 2022

BigID, the leading data intelligence platform that enables organizations to know their enterprise data and take action for privacy, security, and governance, continues its market leadership in cloud data protection and risk posture solutions in both coverage and native integrations with AWS. With more native controls for AWS than any other data security solution, customers gain more insight into their data, integrated support, and deep data protection across their cloud data: More Native AWS Cloud Coverage - including AWS S3, DynamoDB, Redshift, EMR, RDS, Aurora, Athena, Kinesis More Auxiliary AWS Cloud Coverage - including Snowflake, Databricks, MongoDB, Atlas, Cassandra, Couchbase, CockroachBD, Postgres More Native AWS Identity & Access Support - including AWS IAM Roles, AWS KMS, AWS Secrets Manager More Native AWS Account Governance- including AWS Security Hub, AWS Control Tower, AWS Config More Native AWS Data Governance - including AWS Glue & Lake Formation data tagging & access controls More Automated AWS Data Discovery - including Global Accounts, Nested Accounts, Ephemeral Resources, New Bucketsv BigID solutions - including BigID's data intelligence platform alongside SmallID - provide unmatched coverage, integration, and control for data protection and privacy in AWS cloud, and are available in the AWS Marketplace. About BigID BigID's data intelligence platform enables organizations to know their enterprise data and take action for privacy, security, and governance. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. BigID has been recognized for its data intelligence innovation as a 2019 World Economic Forum Technology Pioneer, named to the 2021 Forbes Cloud 100, the 2021 Inc 5000 as the #19th fastest growing company and #1 in Security, a Business Insider 2020 AI Startup to Watch, and an RSA Innovation Sandbox winner.

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BIG DATA MANAGEMENT

Cloud-based Solution Provider 2600Hz Chooses Pica8 For Their Data Centers

Pica8 | July 15, 2022

2600Hz is a telecom services provider delivering cloud communications solutions to MSPs, ISPs, and telecom resellers. 2600Hz's platform KAZOO modernizes how businesses provide communications services to their customers. Whether it be voice, mobile, video, fax or SMS, 2600Hz simplifies and opens the cryptic black box of telecom. 2600Hz is privately held and is based in the San Francisco Bay area, with international offices. 2600Hz had standardized on Edgecore equipment with Cumulus Linux before NVIDIA acquired Cumulus and stopped supporting Broadcom. 2600Hz wanted to stay on an open networking platform to avoid lock-in. Upgrading to a Pica8 solution allowed 2600Hz to retain their hardware system of choice, and enabled a logical path to upgrade for future expansion. Products Used After a short evaluation, 2600Hz initially upgraded a small cluster from Cumulus to PicOS, and over time have transitioned 3 sites to PicOS. Pica8 spine/leaf software switches are deployed using Edgecore Open Network Platform in three Data Centers: New Jersey, Chicago and Sunnyvale Deployment Notes 2600Hz uses PicOS in both Top-of-Rack (TOR) and aggregation switches. The use cases are standard Data Center Networks where the TOR uses an MLAG configuration for high availability and the aggregation layer requires L3 routing. For the TOR layer, the MLAG must provide maximum LACP flexibility, including LACP fallback and fast mode, to enable PXE boot and fast fail over handling for various servers. "When asked about the decision process of choosing Pica8 during the evaluation stage, pointed out that support of open networking standards was crucial. PicOS is a Linux based NOS running on an unmodified Debian Linux. Orchestration with Ansible was the decisive factor in choosing Pica8. It is very similar to Juniper Junos. Anyone with Junos experience will easily make the transition to PicOS with minimal training The migration itself was done easily, and usability was intuitive. He highlighted the role of Pica8 Support in the transition process Pica8 Support has been extremely helpful to introduce features that the network depends on. LACP Fall Back is an example. This made the transition from Cumulus to Pica8 easier. PicOS integrates with 2600Hz's product offerings such as Self Sign-up; PicOS is very easy to use." -Tyler Kiziah, DevOps Manager2600Hz. About Pica8- Pica8 is the industry's open networking software alternative to Cisco, Juniper and Arista for the enterprise. Pica8's AmpCon™ Network Controller for centralized management and automation and PicOS® Software Switches for networking and security have successfully replaced Cisco DNA Center and Catalyst Switches and competing Juniper and Arista solutions for campus, data center and distributed site networks within Fortune 500 enterprises. Pica8 software is deployed at over 1,000 customers in over 40 countries.

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BIG DATA MANAGEMENT

Synopsys Launches the Era of Smarter SoC Design with ML-Driven Big Data Analytics Technology

Synopsys | June 03, 2022

Driving greater design productivity by harnessing previously untapped design insights with machine learning technology, Synopsys, Inc. (Nasdaq: SNPS) today announced a critical expansion of its EDA data analytics portfolio with the introduction of Synopsys DesignDash design optimization solution. As a complementary product to Synopsys' market-leading Digital Design Family and Synopsys DSO.ai™, the award-winning AI-driven design-space-optimization solution, Synopsys DesignDash is a comprehensive data-visibility and machine intelligence-guided design optimization solution that enables unmatched productivity in advanced SoC design. The Synopsys DesignDash solution delivers a real-time, unified, 360-degree view of all design activities for faster decision making, a deeper understanding of run-to-run, design-to-design and project-to-project trends, and enhanced collaboration in the SoC development process. "As a leading supplier of SoCs that are powering and transforming numerous high-impact industries, we pride ourselves on being able to push the limits of achievable device performance while also accelerating our customers' time-to-market," said Hiroshi Ikeda, director, Methodology Development Office, Global Development Group at Socionext. "We're very excited by the Synopsys DesignDash analytics solution as a systematic way to capture, consume and evaluate our vast design activity in a scalable way, enabling us to share and transfer expert knowledge across our worldwide design teams to enhance productivity and efficiency." Unlocking the Potential Within Vast Volumes of Digital Design Data The digital design flow holds a wealth of information from myriad sources that, properly utilized, could help teams optimize increasingly complex designs faster. According to Gartner® Inc., "By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical- and domain-specific augmented analytics solutions."1. The introduction of Synopsys DesignDash is the latest step in a multi-year, multi-disciplinary development effort to address the need for exponential gains in design productivity in the face of massive growth in system complexity, shrinking market windows and an increasingly challenging resource landscape. The cloud-optimized Synopsys DesignDash design optimization solution greatly enhances design productivity by: Providing extensive real-time design status through powerful visualizations and interactive dashboards. Deploying deep analytics and machine learning to extract and reveal actionable understanding from vast volumes of structured and unstructured EDA metrics and tool-flow data. Quickly classifying design trends, identifying design limitations, providing guided root-cause analysis and delivering flow consumable, prescriptive resolutions. With deeper design insights, designers can achieve more effective debug and optimization workflows, realize improved quality of results (QoR) and significantly extend overall design- and project-flow efficiency and effectiveness. This extensive insight and real-time visibility additionally deliver comprehensive resource monitoring and tracking that spans all design activities, enabling more data-driven management and risk mitigation throughout the design process. Synopsys DesignDash is natively integrated with the Synopsys Digital Design family of products for seamless data capture, resulting in insights that further accelerate the path towards design closure. The solution complements the Synopsys SiliconDash product, part of the Synopsys Silicon Lifecycle Management Family, forming a pre-silicon to post-silicon data continuum, maximizing opportunities for valuable data analysis across the complete design-to-silicon lifecycle. "SoC complexity across all application niches continues to rise as more functionality and performance is required. "Through the data analytics and machine learning capabilities of the Synopsys DesignDash technology, engineering teams now have an efficient way to share and utilize valuable insights that would otherwise take hours of manual work to compile or, in some cases, not be accessible." Karl Freund, founder, and principal analyst at Cambrian-AI Research "The semiconductor industry needs a dramatic improvement in design process productivity. Improving the quality and speed of engineering decisions with a comprehensive EDA data analytics platform is a critical step in this direction," said Sanjay Bali, vice president of Marketing and Strategy for the Silicon Realization Group at Synopsys. "Synopsys DesignDash unlocks the potential of the significant and growing volumes of EDA metrics and design-flow data, heralding a new era in smarter IC design by deploying an expanse of advanced data analytics and targeted machine learning to effectively guide design teams to achieve or exceed their product goals and schedules." About Synopsys Synopsys, Inc. is the Silicon to Software™ partner for innovative companies developing the electronic products and software applications we rely on every day. As an S&P 500 company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and offers the industry's broadest portfolio of application security testing tools and services. Whether you're a system-on-chip (SoC) designer creating advanced semiconductors, or a software developer writing more secure, high-quality code, Synopsys has the solutions needed to deliver innovative products.

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