NEOS on BBC Business Live

June 29, 2015 | 150 views

NEOS helps governments, energy ministries and exploration teams in the natural resources industries make faster, more informed decisions about where to explore, lease and drill. NEOS has pioneered the approach of using Big Data predictive analytics techniques on all available geo-data and multi-physics measurements in the natural resource sector.

Spotlight

Nanosoft Technologies

We are a technology services company with a reservoir of highly skilled IT professionals. We are focused on designing solutions that improve the way businesses and people communicate with each other.We have built strong and proven competencies in business analysis and process development to provide solutions to business challenges. Our dedicated teams of Analysts, Developers, Network Engineers, Graphics Designers, Quality Assurance Engineers, Hardware upgrade and deployment specialists and Web Marketing Specialists are trained and experienced to create solutions for your unique business needs.

OTHER ARTICLES
BIG DATA MANAGEMENT

How is Data Virtualization Shifting the Tailwind in Data Management?

Article | July 15, 2022

Over the past couple of years, a significant rise in the trend of digitalization has been witnessed across almost all industries, resulting in the creation of large volumes of data. In addition, an unprecedented proliferation of applications and the rise in the use of social media, cloud and mobile computing, the Internet of Things, and others have created the need for collecting, combining, and curating massive amounts of data. As the importance of data continues to grow across businesses, companies aim to collect data from the web, social media, AI-powered devices, and other sources in different formats, making it trickier for them to manage this unstructured data. Hence, smarter companies are investing in innovative solutions, such as data virtualization, to access and modify data stored across siloed, disparate systems through a unified view. This helps them bridge critical decision-making data together, fuel analytics, and make strategic and well-informed decisions. Why is Data Virtualization Emerging as A New Frontier in Data Management? In the current competitive corporate world, where data needs are increasing at the same rate as the volume of data companies hold, it is becoming essential to manage and harness data effectively. As enterprises focus on accumulating multiple types of data, the effort of managing it has outgrown the capacity of traditional data integration tools, such as data warehouse software and Extract Transform Load (ETL) systems. With the growing need for more effective data integration solutions, high-speed information sharing, and non-stop data transmission, advanced tools such as data virtualization are gaining massive popularity among corporate firms and other IT infrastructures. Data virtualization empowers organizations to accumulate and integrate data from multiple channels, locations, sources, and formats to create a unified stream of data without any redundancy or overlap, resulting in faster integration speeds and enhanced decision-making. What are the key features that make data virtualization a new frontier in data management? Let's see: Modernize Information Infrastructure With the ability to hide the underlying systems, data virtualization allows companies to replace their old infrastructure with cutting-edge cloud applications without affecting day-to-day business operations. Enhance Data Protection Data virtualization enables CxOs to identify and isolate vital source systems from users and applications, which assists organizations in preventing the latter from making unintended changes to the data, as well as allowing them to enforce data governance and security. Deliver Information Faster and Cheaper Data replication takes time and costs money; the "zero replication" method used by data virtualization allows businesses to obtain up-to-the-minute information without having to invest in additional storage space, thereby saving on the operation cost. Increase Business Productivity By delivering data in real time, the integration of data virtualization empowers businesses to access the most recent data during regular business operations. In addition, it enhances the utilization of servers and storage resources and allows data engineering teams to do more in less time, thereby increasing productivity. Use Fewer Development Resources Data virtualization lowers the need for human coding, allowing developers to focus on the faster delivery of information at scale. With its simplified view-based methodology, data virtualization also enables CxOs to reduce development resources by around one-fourth. Data Virtualization: The Future Ahead With the growing significance of data across enterprises and increasing data volume, variety, complexity, compliance requirements, and others, every organization is looking for well-governed, consistent, and secure data that is easy to access and use. As data virtualization unifies and integrates the data from different systems, providing new ways to access, manage, and deliver data without replicating it, more and more organizations are investing in data virtualization software and solutions and driving greater business value from their data.

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BUSINESS INTELLIGENCE

How Artificial Intelligence Is Transforming Businesses

Article | August 4, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives.AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity.However, AI has not only transformed administrative processes and freed up more time for companies, it has also contributed to some ground-breaking moments in business, being a must-have for many in order to keep up with the competition.

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BUSINESS STRATEGY

DRIVING DIGITAL TRANSFORMATION WITH RPA, ML AND WORKFLOW AUTOMATION

Article | July 22, 2022

The latest pace of advancements in technology paves way for businesses to pay attention to digital strategy in order to drive effective digital transformation. Digital strategy focuses on leveraging technology to enhance business performance, specifying the direction where organizations can create new competitive advantages with it. Despite a lot of buzz around its advancement, digital transformation initiatives in most businesses are still in its infancy.Organizations that have successfully implemented and are effectively navigating their way towards digital transformation have seen that deploying a low-code workflow automation platform makes them more efficient.

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AI and Predictive Analytics: Myth, Math, or Magic

Article | February 10, 2020

We are a species invested in predicting the future as if our lives depended on it. Indeed, good predictions of where wolves might lurk were once a matter of survival. Even as civilization made us physically safer, prediction has remained a mainstay of culture, from the haruspices of ancient Rome inspecting animal entrails to business analysts dissecting a wealth of transactions to foretell future sales. With these caveats in mind, I predict that in 2020 (and the decade ahead) we will struggle if we unquestioningly adopt artificial intelligence (AI) in predictive analytics, founded on an unjustified overconfidence in the almost mythical power of AI's mathematical foundations. This is another form of the disease of technochauvinism I discussed in a previous article.

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Spotlight

Nanosoft Technologies

We are a technology services company with a reservoir of highly skilled IT professionals. We are focused on designing solutions that improve the way businesses and people communicate with each other.We have built strong and proven competencies in business analysis and process development to provide solutions to business challenges. Our dedicated teams of Analysts, Developers, Network Engineers, Graphics Designers, Quality Assurance Engineers, Hardware upgrade and deployment specialists and Web Marketing Specialists are trained and experienced to create solutions for your unique business needs.

Related News

BIG DATA MANAGEMENT, DATA ARCHITECTURE, BUSINESS STRATEGY

Voltron Data Gains Recognition as One of the Ten Hottest Big Data Startups in 2022

Voltron Data | January 09, 2023

Voltron Data, the company advancing data analytics standards and the most significant corporate contributor to Apache Arrow, recently announced that CRN had named it one of the ten hottest big data startups of 2022. Rick Whiting, the editor at CRN, said, "Businesses and organizations continue to be overwhelmed with big data, struggling to effectively manage data that's growing in volume, expanding in variety, and accelerating in speed—never mind efforts to organize and analyze all of it to gain valuable insight that can lead to competitive advantages." Voltron Data is dedicated to developing open-source data standards to uncover the untapped potential of the data analytics industry. Also, customers can utilize these standards to exchange and process massive datasets amongst the applications and tools they are already familiar with. Using popular open-source projects, Voltron Data is building cross-language open standards and creating interchangeable software components to minimize system complexity and increase system performance and efficiency. Apache Arrow: Arrow is a multilingual set of tools for faster data transfer and in-memory computing Ibis: The Ibis framework gives scientists, engineers, and data analysts, the power to access their data via an engine-agnostic Python library Substrait: Substrait aims to establish a cross-language, interoperable standard for data computing operations, connecting analysis tools with computing engines and hardware. 2022 Voltron Data Milestones: February: Voltron Data introduced with $110 million in seed and Series A funding March: The company announced free and paid support offerings for Apache Arrow June: It announced free and paid support offerings for Ibis August: The company further solidified its commitment and contributions to Velox "As exciting as 2022 was, we expect to see even greater adoption of open source standards in 2023." -Josh Patterson, Co-Founder and CEO of Voltron Data Source-GlobeNewswire About Voltron Data Voltron Data is an emerging organization with its headquarters in California that works to improve the Apache Arrow Ecosystem. The organization believes that building additional bridges throughout the ecosystem will accelerate the development of data tools. Voltron Data is committed to bridging greater gaps in the data science and analytics industries in order to speed up the efficient creation of data products.

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BIG DATA MANAGEMENT

ClickHouse Launches Cloud Offering For World’s Fastest OLAP Database Management System

ClickHouse | December 07, 2022

Today, ClickHouse, Inc, creators of the online analytical processing (OLAP) database management system, announced the general availability of their newest offering, ClickHouse Cloud, a lightning-fast cloud-based database that simplifies and accelerates insights and analytics for modern digital enterprises. With no infrastructure to manage, ClickHouse Cloud architecture decouples storage and compute and scales automatically to accommodate modern workloads, so users do not have to size and tune their clusters to achieve blazing-fast query speeds. This launch includes a host of new product features, enhancing the security, reliability and usability of ClickHouse Cloud. ClickHouse technology allows a company to turn their data into insights and innovation in near real-time, whether it's a bank trying to detect fraud or a streaming service tracking the next blockbuster. With every modern business relying on massive volumes of data, the ability to derive insights in milliseconds from petabytes of data becomes critically important. The launch of ClickHouse Cloud, available at both www.clickhouse.com and through the AWS Marketplace, allows any company to access this technology on demand for the first time. ClickHouse Cloud is production-ready with a host of new features, including SOC 2 Type II compliance and uptime SLAs for production workloads, with a public trust center and status page that provide reassurance to customers building mission-critical data-based apps on the service. Following the successful acquisition of database client Arctype, users will benefit from a new SQL console that will enable them to connect, explore, and query their databases easily. “The advantage of ClickHouse is speed and simplicity, and ClickHouse Cloud takes that to a new level, enabling businesses to start a service and analyze data a fraction of the cost of other solutions on the market, In just a few months, the ClickHouse Cloud beta has gained over 100 customers and thousands of new users spanning across developers, data analysts, marketing and other critical areas of business where data is analyzed and stored.” -Aaron Katz, CEO of ClickHouse. ClickHouse Cloud aligns with our desire to empower our developers to go from concept to delivery on real-time analytics use cases in days, speeding up the product innovation cycle drastically. We are thrilled to collaborate with ClickHouse Cloud when it comes to performance, scalability, and security, says Eyal Manor, Chief Product Officer of Twilio. Over 100 paying customers have already adopted ClickHouse Cloud during the two-month beta phase, and are experiencing the ability to focus on developing business-critical data applications without the burden of operations resources. In addition, the serverless, production-ready ClickHouse Cloud offering adds a tier optimized for development use cases. This is tuned for smaller workloads and recognizes the importance of lower-cost services enabling rapid prototyping of new features and data products. A user can now architect, model, and experiment with ClickHouse Cloud in preparation for a full production deployment. Alongside these fundamental product announcements, ClickHouse is delighted to further validate its market opportunity, team, and business model following fresh investment from leading technology investor Thrive Capital, as an extension to its Series B. This funding will support further investment in technology and allow ClickHouse to continue building its world-leading team of software engineers. “ClickHouse offers the most efficient database for fast and large-scale analytics, We have long admired this team and are excited to partner with them as they launch ClickHouse Cloud to an even wider audience.” -Avery KIemmer, an investor at Thrive Capital. About ClickHouse: ClickHouse is ​the world's fastest and most resource-efficient online analytical ​column-oriented database management system​. Now offered as a secure and scalable serverless offering in the cloud, ClickHouse Cloud allows anyone to effortlessly take advantage of efficient real-time analytical processing​.

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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

BIG DATA MANAGEMENT, DATA ARCHITECTURE, BUSINESS STRATEGY

Voltron Data Gains Recognition as One of the Ten Hottest Big Data Startups in 2022

Voltron Data | January 09, 2023

Voltron Data, the company advancing data analytics standards and the most significant corporate contributor to Apache Arrow, recently announced that CRN had named it one of the ten hottest big data startups of 2022. Rick Whiting, the editor at CRN, said, "Businesses and organizations continue to be overwhelmed with big data, struggling to effectively manage data that's growing in volume, expanding in variety, and accelerating in speed—never mind efforts to organize and analyze all of it to gain valuable insight that can lead to competitive advantages." Voltron Data is dedicated to developing open-source data standards to uncover the untapped potential of the data analytics industry. Also, customers can utilize these standards to exchange and process massive datasets amongst the applications and tools they are already familiar with. Using popular open-source projects, Voltron Data is building cross-language open standards and creating interchangeable software components to minimize system complexity and increase system performance and efficiency. Apache Arrow: Arrow is a multilingual set of tools for faster data transfer and in-memory computing Ibis: The Ibis framework gives scientists, engineers, and data analysts, the power to access their data via an engine-agnostic Python library Substrait: Substrait aims to establish a cross-language, interoperable standard for data computing operations, connecting analysis tools with computing engines and hardware. 2022 Voltron Data Milestones: February: Voltron Data introduced with $110 million in seed and Series A funding March: The company announced free and paid support offerings for Apache Arrow June: It announced free and paid support offerings for Ibis August: The company further solidified its commitment and contributions to Velox "As exciting as 2022 was, we expect to see even greater adoption of open source standards in 2023." -Josh Patterson, Co-Founder and CEO of Voltron Data Source-GlobeNewswire About Voltron Data Voltron Data is an emerging organization with its headquarters in California that works to improve the Apache Arrow Ecosystem. The organization believes that building additional bridges throughout the ecosystem will accelerate the development of data tools. Voltron Data is committed to bridging greater gaps in the data science and analytics industries in order to speed up the efficient creation of data products.

Read More

BIG DATA MANAGEMENT

ClickHouse Launches Cloud Offering For World’s Fastest OLAP Database Management System

ClickHouse | December 07, 2022

Today, ClickHouse, Inc, creators of the online analytical processing (OLAP) database management system, announced the general availability of their newest offering, ClickHouse Cloud, a lightning-fast cloud-based database that simplifies and accelerates insights and analytics for modern digital enterprises. With no infrastructure to manage, ClickHouse Cloud architecture decouples storage and compute and scales automatically to accommodate modern workloads, so users do not have to size and tune their clusters to achieve blazing-fast query speeds. This launch includes a host of new product features, enhancing the security, reliability and usability of ClickHouse Cloud. ClickHouse technology allows a company to turn their data into insights and innovation in near real-time, whether it's a bank trying to detect fraud or a streaming service tracking the next blockbuster. With every modern business relying on massive volumes of data, the ability to derive insights in milliseconds from petabytes of data becomes critically important. The launch of ClickHouse Cloud, available at both www.clickhouse.com and through the AWS Marketplace, allows any company to access this technology on demand for the first time. ClickHouse Cloud is production-ready with a host of new features, including SOC 2 Type II compliance and uptime SLAs for production workloads, with a public trust center and status page that provide reassurance to customers building mission-critical data-based apps on the service. Following the successful acquisition of database client Arctype, users will benefit from a new SQL console that will enable them to connect, explore, and query their databases easily. “The advantage of ClickHouse is speed and simplicity, and ClickHouse Cloud takes that to a new level, enabling businesses to start a service and analyze data a fraction of the cost of other solutions on the market, In just a few months, the ClickHouse Cloud beta has gained over 100 customers and thousands of new users spanning across developers, data analysts, marketing and other critical areas of business where data is analyzed and stored.” -Aaron Katz, CEO of ClickHouse. ClickHouse Cloud aligns with our desire to empower our developers to go from concept to delivery on real-time analytics use cases in days, speeding up the product innovation cycle drastically. We are thrilled to collaborate with ClickHouse Cloud when it comes to performance, scalability, and security, says Eyal Manor, Chief Product Officer of Twilio. Over 100 paying customers have already adopted ClickHouse Cloud during the two-month beta phase, and are experiencing the ability to focus on developing business-critical data applications without the burden of operations resources. In addition, the serverless, production-ready ClickHouse Cloud offering adds a tier optimized for development use cases. This is tuned for smaller workloads and recognizes the importance of lower-cost services enabling rapid prototyping of new features and data products. A user can now architect, model, and experiment with ClickHouse Cloud in preparation for a full production deployment. Alongside these fundamental product announcements, ClickHouse is delighted to further validate its market opportunity, team, and business model following fresh investment from leading technology investor Thrive Capital, as an extension to its Series B. This funding will support further investment in technology and allow ClickHouse to continue building its world-leading team of software engineers. “ClickHouse offers the most efficient database for fast and large-scale analytics, We have long admired this team and are excited to partner with them as they launch ClickHouse Cloud to an even wider audience.” -Avery KIemmer, an investor at Thrive Capital. About ClickHouse: ClickHouse is ​the world's fastest and most resource-efficient online analytical ​column-oriented database management system​. Now offered as a secure and scalable serverless offering in the cloud, ClickHouse Cloud allows anyone to effortlessly take advantage of efficient real-time analytical processing​.

Read More

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

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