MiPasa project and IBM Blockchain team on open data platform to support Covid-19 response

April 1, 2020 | 166 views

Powerful technologies and expertise can help provide better data and help people better understand their situation. As the world contends with the ongoing coronavirus outbreak, officials battling the pandemic need tools and valid information at scale to help foster a greater sense of security for the public. As technologists, we have been heartened by the prevalence of projects such as Call for Code, hackathons and other attempts by our colleagues to rapidly create tools that might be able to help stem the crisis. But for these tools to work, they need data from sources they can validate. For example, reopening the world’s economy will likely require not only testing millions of people, but also being able to map who tested positive, where people can and can’t go and who is at exceptionally high risk of exposure and must be quarantined again.

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SBS INFO SYSTEMS

SBS Info Systems LLC is an enterprise technology professional services firm. It provides top notch technical experts to global 500 and fortune 100 companies. SBS staffing services covers broad range of technologies such as SAS, Unix, Linux, Windows, Mainframe, Java, Hadoop, Oracle, Teradata, Sybase, DB2, Netezza, Greenplum, QA, SQL, Informatica, DataStage, MicroStrategy, Cognos, SAP, and SPSS. SBS has deployed over 100 technical geniuses in Finance, Healthcare, Pharmaceuticals, Bio-Pharmaceuticals, CRO, Government, Investment, Energy, Aviation, Oil and Gas, Private & Public sectors. SBS has global footprints in the US and India with offices in Albany, NY; Surat, India.

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BIG DATA MANAGEMENT

Enhance Your Customer Experience with Data-Centric AI

Article | July 11, 2022

Data-centric AI is a unique approach to machine learning that depends on the data scientist to design the complete pipeline from data purification and intake through model training. There is no need for a detailed understanding of AI algorithms in this method; instead, it is all about the data. The principle behind data-centric AI is simple: rather than training an algorithm first and then cleaning up the dirty dataset, begin with clean data and train an algorithm on that dataset. Why Is It Necessary to Centralize Datasets? A consolidated data platform can be utilized to produce a single source of truth, therefore simplifying and assuring accuracy. When a team concentrates on continual improvement, wasted time and resources are reduced. You can improve optimization by centralizing data. This is due to the increased opportunity for your team to enhance procedures and make better judgments. The capacity to exploit a single platform that promotes constant improvement in processes, products and operationalization models is provided by centralizing data. Data-Centric AI for Personalized Customer Experience Data-centric AI connects your data and analytics. It's used to detect common habits and preferences, tailor marketing campaigns, provide better suggestions, and much more. Data-Centric AI is being used to evaluate various types of data in order to assist organizations in making quicker, more efficient choices. It can be used to analyze client behavior and trends across several channels in order to provide personalized experiences. It enables applications and websites to adjust the information that individuals view according to their preferences, as well as advertisers to target specific consumers with tailored offers. What Will the Future of Data-Centric AI Look Like? Data-centric AI strives to provide a systematic approach to a wide range of domains, including product design and user experience. Data-centric AI is a systematic technique and technology that enables engineers and other data scientists to employ machine learning models in their own data studies. Moreover, the goal of data-centric AI is to build best practices that make data analysis approaches less expensive and easier for businesses to implement effortlessly.

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BIG DATA MANAGEMENT

Why Adaptive AI Can Overtake Traditional AI

Article | July 12, 2022

With the ever-changing technology world, company demands and results are no longer the norm. Businesses in a variety of sectors are using artificial intelligence (AI) technologies to solve complicated business challenges, build intelligent and self-sustaining solutions, and, ultimately, remain competitive at all times. To that aim, ongoing attempts are being made to reinvent AI systems in order to do more with less. Adaptive AI is a significant step in that direction. It has the potential to outperform standard machine learning (ML) models in the near future because of its ability to enable organizations to get greater results while spending less time, effort, and resources. The capacity of adaptive AI to enable enterprises to achieve greater outcomes while investing less time, effort, and assets is why it can overtake traditional AI models. Why Adaptive AI Overtakes Traditional AI Robust, Efficient and Agile Robustness, efficiency, and agility are the three basic pillars of Adaptive AI. The ability to achieve great algorithmic accuracy is referred to as robustness. The capacity to achieve reduced resource utilization is referred to as efficiency (for example, computer, memory, and power). Agility manages the ability to change operational circumstances in response to changing demands. Together, these three Adaptive AI principles provide the groundwork for super-capable AI inference for edge devices. Data-Informed Predictions A single pipeline is used by the adaptive learning approach. With this method, you can use a continually advanced learning approach that maintains the framework up-to-date and encourages it to achieve high levels of performance. The Adaptive Learning method examines and learns new changes made to the information and produces values, as well as their associated attributes. Moreover, it benefits from events that can modify market behavior in real-time and, as a result, maintains its accuracy consistently. Adaptive AI recognizes information from the operational environment and uses it to produce data-informed predictions. Closing Lines Adaptive AI will be utilized to meet changing AI computing requirements. Operational effectiveness depends on algorithmic performance and available computer resources. Edge AI frameworks that can change their computing demands effectively reduce compute and memory requirements. Adaptive AI is robust in CSPs' dynamic software environments, where inputs and outputs alter with each framework revamp. It can assist with network operations, marketing, customer service, IoT, security, and customer experience.

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BIG DATA MANAGEMENT

Data-Centric Approach for AI Development

Article | July 6, 2022

As AI has grown in popularity over the past decade, practitioners have concentrated on gathering as much data as possible, classifying it, preparing it for usage, and then iterating on model architectures and hyper-parameters to attain our desired objectives. While dealing with all of this data has long been known as laborious and time-consuming, it has typically been seen as an upfront, one-time step we take before entering into the essential modeling phase of machine learning. Data quality concerns, label noise, model drift, and other biases are all addressed in the same way: by collecting and labeling more data, followed by additional model iterations. The foregoing technique has worked successfully for firms with unlimited resources or strategic challenges. It doesn't work well for machine learning's long-tail issues, particularly those with fewer users and little training data. The discovery that the prevailing method of deep learning doesn't "scale down" to industry challenges has given birth to a new "trend" in the area termed "Data-Centric AI." Implementing a Data-Centric Approach for AI Development Leverage MLOps Practices Data-centric AI prioritizes data over models. Model selection, hyper-parameter tuning, experiment tracking, deployment, and monitoring take time. Data-centric approaches emphasize automating and simplifying ML lifecycle operations. Standardizing and automating model-building requires MLOps. MLOps automates machine learning lifecycle management pipelines. An organizational structure improves communication and cooperation. Involve Domain Expertise Data-centric AI development requires domain-specific datasets. Data scientists can overlook intricacies in various sectors, business processes, or even the same domain. Domain experts can give ground truth for the AI use case and verify whether the dataset truly portrays the situation. Complete and Accurate Data Data gaps cause misleading results. It's crucial to have a training dataset that correctly depicts the underlying real-world phenomenon. Data augmentation or creating synthetic data might be helpful if gathering comprehensive and representative data is costly or challenging for your use case.

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BIG DATA MANAGEMENT

A Modern Application Must Have: Multi-cloud Database

Article | July 6, 2022

To function well, modern apps require enormous amounts of diverse data from sensors, processes, interactions, etc. However, these apps cannot understand the unstructured big data and extract commercial value for effective operations unless this data is maintained properly. In today's age of cloud computing, apps gather and analyze data from various sources, but the data isn't always kept in the same database or format. While increasing overall complexity, several formats make it more difficult for apps to retain and use various data. Multi-model databases, a cutting-edge management system, provide a sophisticated approach to handling varied and unstructured data. A multi-model database allows various data models to natively utilize a single, integrated backend, as opposed to combining different database models. Why Has Multi-Model Database Become a Necessity for Modern Applications? Modern applications can store diverse data in a single repository owing to the flexible approach to database management, which improves agility and reduces data redundancy. Improve Reliability Each database might be a single point of failure for a larger system or application. Multi-model databases reduce failure points, enhancing data dependability and recovery time. Such recovery minimizes expenses and maintains customer engagement and application experience. Simplify Data Management Fragmented database systems benefit contemporary applications but complicate development and operations. Multi-model databases provide a single backend that maintains data integrity and fault tolerance, eliminating the need for different database systems, software licenses, developers, and administrators. Improve Fault Tolerance Modern apps must be fault-tolerant and respond promptly to failures promptly. Multi-model databases enable this by integrating several systems into a single backend. The integration provides system-wide failure tolerance. Closing Lines As applications get more complicated, so do their database requirements. However, connecting many databases and preserving consistency between data gathered from various sources is a time-consuming and expensive undertaking. Fortunately, multi-model databases provide an excellent option for generating the data models you want on a single backend.

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Spotlight

SBS INFO SYSTEMS

SBS Info Systems LLC is an enterprise technology professional services firm. It provides top notch technical experts to global 500 and fortune 100 companies. SBS staffing services covers broad range of technologies such as SAS, Unix, Linux, Windows, Mainframe, Java, Hadoop, Oracle, Teradata, Sybase, DB2, Netezza, Greenplum, QA, SQL, Informatica, DataStage, MicroStrategy, Cognos, SAP, and SPSS. SBS has deployed over 100 technical geniuses in Finance, Healthcare, Pharmaceuticals, Bio-Pharmaceuticals, CRO, Government, Investment, Energy, Aviation, Oil and Gas, Private & Public sectors. SBS has global footprints in the US and India with offices in Albany, NY; Surat, India.

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BIG DATA MANAGEMENT,BUSINESS STRATEGY

Striim and Databricks Partner to Bring Real-Time Data Integration to the Databricks Lakehouse

Striim | September 21, 2022

Striim, a global leader in unified real-time data integration and streaming, today announced at the Big Data LDN conference and expo that Striim has joined the Databricks Technology Partner Program. Databricks Technology Partners integrate their solutions with Databricks to provide complementary capabilities for ETL, data ingestion, business intelligence, machine learning, and governance. Striim’s integration with Databricks enables enterprises to leverage the Databricks Lakehouse Platform’s reliability and scalability to innovate faster while deriving valuable data insights in real-time via Striim’s real-time streaming capabilities. “It’s clear that the businesses that can make accurate, data-driven decisions more quickly have a clear advantage over their competitors. “We intentionally partner with technology providers like Striim to enable our customers to speed their time-to-insight via Databricks AI/ML solutions. We are excited to partner with Striim, providing our customers access to a fully-managed cloud service to seamlessly connect data from databases, applications, and disparate clouds to Databricks in real-time.” Ariel Amster, director of strategic technology partners at Databricks The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses, enabling users to unify their data, analytics, and AI, build on open-source technology, and maintain a consistent platform across clouds. Striim enables Databricks’s AI/ML to create new models that leverage real-time data resulting in far more accurate business predictions. This, in turn, means better decisions more quickly, giving businesses and significant competitive edge. “In today's digital economy, customer experience, data movement, and data governance require real-time streaming data. Legacy batch processes simply are not enough to meet the demands of today’s AI/ML applications,” said Philip Cockrell, Striim’s senior vice president of Business Development. “Striim’s software-as-a-service offering delivers ‘best-in-class’ capabilities for real-time data integration, helping Databricks customers more fully realize the proven AI/ML functionality Databricks delivers.” Striim Cloud delivers these capabilities for the enterprise in a managed service format that eliminates the complexity of building low-latency streaming data pipelines at scale. Instead of spending weeks implementing this new infrastructure, global enterprises can now integrate data from disparate sources in just a few clicks. About Striim Striim, Inc. is the only supplier of unified, real-time data streaming and integration for analytics and operations in the Digital Economy. Striim Platform and Striim Cloud make it easy to continuously ingest, process, and deliver high volumes of real-time data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure. Striim collects data in real time from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors, and delivers it to virtually any target on-premises or in the cloud with sub-second latency enabling real-time operations and analytics.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Risk Africa Innovatis Picks InetSoft as a Partner in Spreading Business Intelligence

InetSoft | August 30, 2022

InetSoft Technology, a pioneer in data intelligence, analytics, and reporting, announced that it is partnering with Risk Africa Innovatis to spread business intelligence in East Africa and beyond. Risk Africa Innovatis uses technology solutions to provide intelligence to decision makers and management of institutions across different sectors close to real time while providing expertise in state-of-the-art predictive risk advisory and management techniques. The company developed RiskAfrica.IRPMIS & CountyGo.IRPMIS, an integrated risk and performance management solution for both public and private sectors. Specialized modules are available for operational risk management, quality management, project management, fraud risk, information security risk, performance management and risk-based internal audit. Risk Africa Innovatis has a vision of turning CEOs and decision makers into pilots and creating a cockpit for them. “As we dug deep in the delivery of technology solutions for real-time intelligence, we realized the power of big data analytics and how it drives solutions that mitigate against the most critical uncertainties affecting an organization’s objectives,” states Gilbert Mwalili, Executive Director of Risk Africa Innovatis. Risk Africa Innovatis chose InetSoft from a crowded field of potential BI partners because of its range of functionalities, most notably a powerful data mashup engine that enables fast and flexible transformation of data from disparate sources enabling close to real-time delivery of our intelligence technology solutions. Comprehensive documentation was found to aid ease of use. Risk Africa Innovatis also observed the fact that there was no need to be an expert in coding or programming to design and use interactive dashboards and analytics. Lastly, during the evaluation phase, the InetSoft technical team was found to always be available to provide guidance for complex scenarios. “By offering InetSoft’s Style Intelligence, Style Scope, and Style Report, we have solutions for the African market that is yet to embrace the power of data at its disposal, and the cockpit dream is an inch closer to actualization,” continued Mr. Mwalili. “From data sourcing, to analysis, visual intelligence and reporting, our partnership is poised to link Africa with the rest of the world. Unchaining the African potential of being the future business frontier builds our agenda of innovating and driving data-driven decision making with InetSoft BI.” “In Risk Africa Innovatis, we have found a progressive, aggressive partner in enabling successful deployments of our data intelligence solutions in East Africa and beyond. “We will continue to be their agile partner with an engineering team always accessible to ensure mutual success.” Mark Flaherty, CMO at InetSoft About Risk Africa Innovatis Risk Africa Innovatis is a Kenyan-owned technology-based management advisory service provider with a pool of professionals in various fields of expertise and experience gained locally and internationally. The company’s focus is to use technology solutions to provide intelligence to decision makers and management of institutions across different sectors while providing expertise in state-of-the-art risk advisory and management techniques. About InetSoft Since 1996, InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. At the core of the platform is a data mashup and transformation engine that can preclude the need for data warehouse and data preparation expenses. Application highlights include visually-compelling interactive dashboards, pixel-perfect production reporting, and machine learning functionality accessible to non-data scientists. All of these capabilities combine to allow a maximum degree of self-service that benefits the average business user, the IT administrator, and the developer. InetSoft’s solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

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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,BUSINESS STRATEGY

Striim and Databricks Partner to Bring Real-Time Data Integration to the Databricks Lakehouse

Striim | September 21, 2022

Striim, a global leader in unified real-time data integration and streaming, today announced at the Big Data LDN conference and expo that Striim has joined the Databricks Technology Partner Program. Databricks Technology Partners integrate their solutions with Databricks to provide complementary capabilities for ETL, data ingestion, business intelligence, machine learning, and governance. Striim’s integration with Databricks enables enterprises to leverage the Databricks Lakehouse Platform’s reliability and scalability to innovate faster while deriving valuable data insights in real-time via Striim’s real-time streaming capabilities. “It’s clear that the businesses that can make accurate, data-driven decisions more quickly have a clear advantage over their competitors. “We intentionally partner with technology providers like Striim to enable our customers to speed their time-to-insight via Databricks AI/ML solutions. We are excited to partner with Striim, providing our customers access to a fully-managed cloud service to seamlessly connect data from databases, applications, and disparate clouds to Databricks in real-time.” Ariel Amster, director of strategic technology partners at Databricks The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses, enabling users to unify their data, analytics, and AI, build on open-source technology, and maintain a consistent platform across clouds. Striim enables Databricks’s AI/ML to create new models that leverage real-time data resulting in far more accurate business predictions. This, in turn, means better decisions more quickly, giving businesses and significant competitive edge. “In today's digital economy, customer experience, data movement, and data governance require real-time streaming data. Legacy batch processes simply are not enough to meet the demands of today’s AI/ML applications,” said Philip Cockrell, Striim’s senior vice president of Business Development. “Striim’s software-as-a-service offering delivers ‘best-in-class’ capabilities for real-time data integration, helping Databricks customers more fully realize the proven AI/ML functionality Databricks delivers.” Striim Cloud delivers these capabilities for the enterprise in a managed service format that eliminates the complexity of building low-latency streaming data pipelines at scale. Instead of spending weeks implementing this new infrastructure, global enterprises can now integrate data from disparate sources in just a few clicks. About Striim Striim, Inc. is the only supplier of unified, real-time data streaming and integration for analytics and operations in the Digital Economy. Striim Platform and Striim Cloud make it easy to continuously ingest, process, and deliver high volumes of real-time data from diverse sources (both on-premises or in the cloud) to support multi- and hybrid cloud infrastructure. Striim collects data in real time from enterprise databases (using non-intrusive change data capture), log files, messaging systems, and sensors, and delivers it to virtually any target on-premises or in the cloud with sub-second latency enabling real-time operations and analytics.

Read More

BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Risk Africa Innovatis Picks InetSoft as a Partner in Spreading Business Intelligence

InetSoft | August 30, 2022

InetSoft Technology, a pioneer in data intelligence, analytics, and reporting, announced that it is partnering with Risk Africa Innovatis to spread business intelligence in East Africa and beyond. Risk Africa Innovatis uses technology solutions to provide intelligence to decision makers and management of institutions across different sectors close to real time while providing expertise in state-of-the-art predictive risk advisory and management techniques. The company developed RiskAfrica.IRPMIS & CountyGo.IRPMIS, an integrated risk and performance management solution for both public and private sectors. Specialized modules are available for operational risk management, quality management, project management, fraud risk, information security risk, performance management and risk-based internal audit. Risk Africa Innovatis has a vision of turning CEOs and decision makers into pilots and creating a cockpit for them. “As we dug deep in the delivery of technology solutions for real-time intelligence, we realized the power of big data analytics and how it drives solutions that mitigate against the most critical uncertainties affecting an organization’s objectives,” states Gilbert Mwalili, Executive Director of Risk Africa Innovatis. Risk Africa Innovatis chose InetSoft from a crowded field of potential BI partners because of its range of functionalities, most notably a powerful data mashup engine that enables fast and flexible transformation of data from disparate sources enabling close to real-time delivery of our intelligence technology solutions. Comprehensive documentation was found to aid ease of use. Risk Africa Innovatis also observed the fact that there was no need to be an expert in coding or programming to design and use interactive dashboards and analytics. Lastly, during the evaluation phase, the InetSoft technical team was found to always be available to provide guidance for complex scenarios. “By offering InetSoft’s Style Intelligence, Style Scope, and Style Report, we have solutions for the African market that is yet to embrace the power of data at its disposal, and the cockpit dream is an inch closer to actualization,” continued Mr. Mwalili. “From data sourcing, to analysis, visual intelligence and reporting, our partnership is poised to link Africa with the rest of the world. Unchaining the African potential of being the future business frontier builds our agenda of innovating and driving data-driven decision making with InetSoft BI.” “In Risk Africa Innovatis, we have found a progressive, aggressive partner in enabling successful deployments of our data intelligence solutions in East Africa and beyond. “We will continue to be their agile partner with an engineering team always accessible to ensure mutual success.” Mark Flaherty, CMO at InetSoft About Risk Africa Innovatis Risk Africa Innovatis is a Kenyan-owned technology-based management advisory service provider with a pool of professionals in various fields of expertise and experience gained locally and internationally. The company’s focus is to use technology solutions to provide intelligence to decision makers and management of institutions across different sectors while providing expertise in state-of-the-art risk advisory and management techniques. About InetSoft Since 1996, InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. At the core of the platform is a data mashup and transformation engine that can preclude the need for data warehouse and data preparation expenses. Application highlights include visually-compelling interactive dashboards, pixel-perfect production reporting, and machine learning functionality accessible to non-data scientists. All of these capabilities combine to allow a maximum degree of self-service that benefits the average business user, the IT administrator, and the developer. InetSoft’s solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

Read More

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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