HIGH AVAILABILITY AND DATA PROTECTION WITH DELL EMC ISILON SCALE-OUT NAS

January 11, 2019 | 40 views

This white paper details how Dell EMC Isilon scale-out NAS storage and the Isilon OneFS operating system architecture provide high availability and data protection needed to meet the challenges organizations face as they deal with the deluge of digital content and unstructured data and the growing importance of data protection.

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itelligence

In the digital age, you need an IT partner you can rely on, who understands the digital and real-life challenges of your industry and who helps you rethink your business every step of the way. With 25+ years’ experience, we know SAP software inside out and our strong ties to SAP mean we stay up to speed with the latest innovations. Numerous SAP Pinnacle Awards, certifications, and our SAP Platinum Partner status are testament to our success. From consulting to implementation and managed services, we have 7,100+ employees with the expertise to take your business further.

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BUSINESS INTELLIGENCE

Why Adaptive AI Can Overtake Traditional AI

Article | August 4, 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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BUSINESS STRATEGY

A Modern Application Must Have: Multi-cloud Database

Article | July 22, 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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BIG DATA MANAGEMENT

Why Increasing Data Maturity Help Businesses Unlock Digital Potential?

Article | July 5, 2022

There is no dispute that brands that harness and invest in data capabilities will be the ones to realize their maximum revenue potential. However, while today's marketers have access to a multitude of data sources, understanding what data to use and how to utilize it are two of the biggest challenges for all. Data utilization in companies is an inconsistent experience. Some businesses have sensibly invested in improving their data maturity. They can pivot quickly to maximize income potential in an unstable economic environment. Others face a cycle of declining returns as they try to reproduce previous achievements with variable outcomes. Importance of Data Maturity for Businesses Understanding your organization's data maturity is critical for five reasons. An understanding of data maturity may assist marketers in: Align Recognize which problems and challenges the wider organization is attempting to solve and modify techniques to support those goals. Appreciate Analyze honestly what the company is good at doing presently and where adjustments are needed to create better data decision-making. Evaluate Measure data literacy levels while implementing training and upskilling resources to facilitate the implementation of an open learning environment to encourage innovative thinking. Anticipate As the company's data capabilities develop, look forward to significantly advanced analytics possibilities. Calibrate Optimize technology and infrastructure to extract maximum value now while also appropriately planning for future resources. Future-Proof Your Business with Data Maturity Data maturity applies to the whole organization. It is a company-wide effort that extends beyond the goals of a single sales or marketing team. As a result, it's critical to bring together diverse internal influencers to determine how improvements to your data strategy can assist everyone in achieving the same objectives. The mix of stakeholders is unique to each organization, so it will be determined by your company's priorities.

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Spotlight

itelligence

In the digital age, you need an IT partner you can rely on, who understands the digital and real-life challenges of your industry and who helps you rethink your business every step of the way. With 25+ years’ experience, we know SAP software inside out and our strong ties to SAP mean we stay up to speed with the latest innovations. Numerous SAP Pinnacle Awards, certifications, and our SAP Platinum Partner status are testament to our success. From consulting to implementation and managed services, we have 7,100+ employees with the expertise to take your business further.

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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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