How Machine Learning Is Changing The Future Of Fiber Optics

designnews.com | January 28, 2020

The high bandwidth demands created by our mobile and smart devices, data storage, and cloud computing centers is growing by leaps and bounds. And the ubiquity of fiber optics is a big part of this. Analysts are predicting the global fiber optics market will be worth $9 billion USD by 2025. Much of this will be driven by the aforementioned technologies but also by new technologies such as VR/AR.But none will have more impact than machine learning. The compute power needed and the demand for machine learning performance is driving more and more developers to move AI applications to the edge and away from the cloud. One of those companies is Luminous Computing, a machine learning startup that has set itself on the lofty goal of leveraging photonics to fit the computing power of the world's largest supercomputers onto a single chip for AI processing.Ahead of his DesignCon 2020 keynote, “The Future of Fiber Optic Communications Datacenter & Mobile,” Chris Cole, vice president of systems engineering at Luminous Computing, spoke with DesignCon brand director Suzanne Deffree about the rapid changes coming to data centers and mobile.

Spotlight

Nearly all companies recognize the importance of harvesting value from their enterprise data. Data warehousing is a foundational element to that end, but one that has been a challenge for companies with first-generation cloud data warehouse solutions. Cloud data warehouse services provide all customers with the opportunity to realize the value of data warehousing, including cost savings, agility, and enablement of new business opportunities.


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BIG DATA MANAGEMENT

HealthWorksAI™ Unveils the First Healthcare Data Platform using xAI technology

HealthWorksAI | December 30, 2021

HealthWorksAI™, an industry-leading Healthcare analytics company, announces the launch of the 2nd generation of their state-of-the-art xAI program. It's an advanced analytical approach that collects and processes data, generating in-depth market analysis which standard models do not uncover. Allowing data scientists an efficient way to measure the impact of various plan attributes/factors, xAI provides a better understanding of the correlation between plan features and beneficiary preference. It also provides insights into the influence of multiple verticals at the market level. The models are then combined with the human-computer interface (HCI) features capable of translating models into practical explanations for end users. "We use a combination of Rule-based algorithms, Random Forest, and Artificial Neural Networks to develop our proprietary prediction, classification, and performance metrics. Advanced analytics & xAI comes to play in the modeling and evaluation phases of data mining. To achieve this, we use LIME and DeepLIFT, as an example, to achieve far superior results." Shreya, Data Scientist of HealthWorksAI™ The xAI program, released in early 2021, has been a huge success for HealthWorksAI, leading as their most subscribed platform module in its first year. The 2nd generation, which will see releases begin in early Q2, includes multiple platform enhancements as well as new approaches to xAI methodologies. "We're excited to announce the expansion of our xAI program for MA Payors," noted Jereme Ayers, Chief Growth Officer of HealthWorksAI. "One of the defining aspects of our company is the partnership our clients provide. We appreciate their faith and confidence and look forward to delivering even more for them in 2022!" About HealthWorksAI HealthWorksAI™ is a privately held healthcare data analytics company in the US that provides healthcare payors with rapid access to very efficient and insightful Medicare Advantage market data, accurate predictions, and a reliable single source of truth for strategic decision-making.

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DATA ARCHITECTURE

Linq Analytics Extends Master Data Management and FP&A Capabilities

Linq Analytics | January 18, 2022

Linq Analytics, LLC, a provider of software and services for adaptive customer data management and analytics, announced today its acquisition of certain assets of Altius, Inc., a privately-held company with US offices in Sugar Land, TX. Altius' Flex™ suite of planning and Master Data Management (MDM) products give users the ability to augment Microsoft Excel™-based financial models with data enrichment and workflows, providing them a more accurate understanding of their information and enabling management tailored to their business. The addition of the Flex™ suite to the Linq Analytics portfolio will add capabilities that extend both Linq's Account Hierarchy Management Solution and associated analytics and workflows, helping Clients realize additional value across the Customer data chain through more agility in data integration, extensive analytics insights, and decreased redundancy. "Our Clients and Partners have expressed a desire to seamlessly connect their customer data from multiple CRM and ERP instances with existing analytics and finance workflows. We believe that adding the Flex™ capabilities helps us to provide a more complete solution that can drive additional value for our Clients." Brandon Swalve, Linq Analytics' co-founder and CEO As part of this transaction, Linq Analytics will appoint Noel Phillips as Chief Technology Officer. "In addition to the product capabilities, I'm excited to welcome Noel to Linq," continued Swalve. "He adds significant technical knowledge, functional expertise, and strong leadership to our rapidly expanding team, and our Clients will feel his impact quickly." "I'm very excited to join the superb team at Linq Analytics. I know the combination of Linq's innovative CRM and ERP tools - along with the Flex™ Planning Platform - will prove incredibly powerful. It tells a compelling story and will benefit current and future clients alike. I can't wait to see what we will achieve together." The Flex™ product suite will continue to be available from Linq Analytics. Support services for current Flex™ clients will be delivered through Altius, with transition for support expected to occur in Q2 2022.

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BIG DATA MANAGEMENT

New Release of Talend Trust Score Enables Data Teams to Establish a Foundation for Data Health

Talend | May 09, 2022

Talend, a global leader in data integration and management, announced today at Gartner Data & Analytics Summit in London, the latest version of Talend Data Fabric. In its Spring '22 announcement, Talend will add advanced capabilities to Talend Trust Score™, including aggregation and historical views into the health of any dataset. These new features will help businesses analyze combined data quality metrics to evaluate data trust at macro and micro levels, including across all datasets, groups of datasets, or individual datasets. According to a survey taken of global executives in 2021, 78% say they face challenges in using their data, and more than a third say they simply aren't using it to make decisions. In fact, Gartner recently reported that inconsistent business outcomes due to unreliable data and poor data quality are responsible for an average of $12.8M per year in losses for organizations. As the first advanced trust score available in the industry, Talend Trust Score helps businesses assess the quality of their datasets. Talend Trust Score intelligently evaluates and scores data in Talend customer environments by using crawlers that automatically scan datasets in on-premises and cloud data warehouses such as Snowflake, AWS, Microsoft Azure, or Google. Businesses can also identify quality issues with incoming data from third-party systems/source systems and remedy them immediately, before there is a negative impact. Talend's Spring '22 enables businesses to see trends and measure data trust over time and identify data drift issues to ensure reliable information is used to drive optimal business outcomes. New features include: Talend Trust Score by Groups provides more targeted insights into the health of data assets instantly with trust score grouping via metadata. Now users can filter any group of datasets, or individual datasets, and see an aggregate trust score that can serve as an enhanced "single-pane-of-glass" view into data health. This provides a fully tailored view of datasets that are relevant to each user, for an at-a-glance view of actionable data quality metrics. Talend Trust Score Trending provides a temporal view of the health of datasets. Customers can now see trends and measure the effectiveness of data programs on an ongoing basis and surface issues that are not visible with snapshots of quality, such as data drift. Customers may scan datasets at intervals such as daily, weekly, and hourly, providing a view into dataset quality to help provide a more accurate assessment at any given time. In addition to Talend Trust Score updates, Spring '22 accelerates productivity with collaborative workflows that can serve as a conduit between users at different technical levels. Talend expands its centralized repository with Data Quality Rules in Talend Studio, a step to ensure these simple-to-configure rules are available for reuse across the Talend ecosystem, on any data, no matter its location or format. "Talend continues to raise the bar on innovation with our customers in mind. Our advancements to Talend Trust Score will help businesses understand the ongoing quality of their data and feel confident in the decisions they are making. This new product release is another step toward helping our customers leverage healthy data to achieve powerful business outcomes." Jamie Fiorda, vice president, product marketing, Talend About Talend Talend, a leader in data integration and data management, is changing the way the world makes decisions. Talend Data Fabric is the only platform that seamlessly combines an extensive range of data integration and governance capabilities to actively manage the health of corporate information. This unified approach is unique and essential to delivering complete, clean, and uncompromised data in real-time to all employees. It has made it possible to create innovations like the Talend Trust Score™, an industry-first assessment that instantly quantifies the reliability of any dataset.

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BUSINESS INTELLIGENCE

Domo Launches Data Apps to Fill the Gaps of Traditional BI and Analytics

Domo | March 24, 2022

Today Domo announced Data Apps, new low-code data tools for everyone across an organization, designed to bring the benefit of data-driven decisions and actions to those who are underserved by traditional business intelligence (BI) and analytics. A Data App, which combines data, analytics and workflows, is experienced as a personalized standalone experience on a mobile device or embedded into existing apps and processes where work is already happening. Unlike traditional BI, which is designed for executives, managers and data analysts and requires a level of data literacy to interpret and apply insights, Data Apps are designed for any role in an organization and are built so any person can be guided by data to the optimal decisions and actions for achieving specific business outcomes. For example, an employee on the manufacturing floor can leverage a Data App on a work tablet to ensure the company’s quality and safety goals are met throughout their role in the production process. Or a shift manager in a coffee shop can get real-time insights on their phone into customer satisfaction scores and make necessary adjustments on-the-fly to improve the customer experience. The continued push for digital transformation across all areas of business is highlighting the urgent need for new data tools. Despite all the modernization efforts around business intelligence, data is still not being effectively leveraged in most organizations. In fact, no more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications, according to The Future of BI, Forrester Research Inc., February 23, 2022. And recent research sponsored by Domo showed the lack of proper tools is one of the key barriers that keeps organizations from using data more holistically. “It is time for organizations to move beyond thinking of data as charts and graphs and towards adopting customized intelligent apps that not only deliver insights but drive action and support the needs of workers right where the work gets done. Our focus with Data Apps is supporting the white spaces in organizations where traditional BI and enterprise software applications like CRM and ERP have traditionally not reached. We’re making it easy for customers to put data to work for everyone by leveraging Domo as a low-code data app platform to build apps and improve business processes and outcomes everywhere work gets done.” John Mellor, Domo CEO “Organizations face challenges in finding an approach to Data Apps that enables digital transformation. They seek solutions that allow organizations to easily compile, aggregate and share data across trusted networks - both inside and outside organizations, while giving each team member personalized data and automation needed for the business to move forward with more agility,” said R “Ray" Wang, founder and principal analyst, Constellation Research, Inc. Because of Domo’s robust data integration capabilities with more than 1,000+ native connectors built and managed by Domo, Data Apps can easily leverage data from existing systems – regardless of where data lives whether it be in a cloud data warehouse or data lake, or a core application like SAP, Salesforce or NetSuite. As a result, Data Apps are designed to deliver business value at record speed and scale, and what used to take weeks and months, now takes hours or days. “For decades analytics tools have been focused on solving the wrong problem. There will always be a place for ad hoc analyses, but organizations can better meet their day-to-day analytic needs with more directed, purpose-built analytical applications that are embedded into operational processes for line-of-business personnel - whether they be store managers, stock room team members or customer service representatives,” said David Menninger, senior vice president and research director, Ventana Research. “Using a platform like Domo’s to develop and distribute analytics apps helps eliminate time-consuming tasks such as data integration and management, allowing organizations to be more agile and responsive to existing business requirements and new market requirements as they arise.” As part of today’s announcement, Domo launched four solution accelerators, highly configurable Data Apps designed to support common business processes that have not been solved with traditional BI or enterprise software. These accelerators leverage the full capabilities of the Domo platform for data integration, analytics and distribution and are specifically for customers in retail, CPG and financial services. These first four solutions are as follows: Retail Store Performance and Operations – designed as a mobile app for executives, ops leaders, field and store employees to create the best customer experiences and drive sales and margin performance in the stores Retail-Vendor Brand Performance & Insight Sharing – designed for real-time collaboration around point-of-sale data, inventory and market data to help retailers and their vendor partners profitably grow their respective businesses Supply Chain Collaboration and Operations – a cross-functional supply chain problem solving tool that allows manufacturing, retail and logistics people to collaborate to improve supply chain visibility and efficiency to minimize cost Banking Customer Profitability and Behavior Analytics – designed to give financial services organizations such as banks, credit unions and mortgage companies near real-time insight into customer preferences so they can drive more valuable, longer-term relationships with customers Additional Announcements Domo also announced today new updates to the Domo platform that allow customers to leverage data at speed and scale. These announcements include new multi-cloud enhancements, a new governance toolkit, new integrations with Microsoft Office Suite and Teams, and more. About Domo Domo transforms business by putting data to work for everyone. Domo’s low-code data app platform goes beyond traditional business intelligence and analytics to enable anyone to create data apps to power any action in their business, right where work gets done. With Domo’s fully integrated cloud-native platform, critical business processes can now be optimized in days instead of months or more.

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Spotlight

Nearly all companies recognize the importance of harvesting value from their enterprise data. Data warehousing is a foundational element to that end, but one that has been a challenge for companies with first-generation cloud data warehouse solutions. Cloud data warehouse services provide all customers with the opportunity to realize the value of data warehousing, including cost savings, agility, and enablement of new business opportunities.

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