CGS | February 25, 2022
CGS, a global provider of business applications, enterprise learning and outsourcing services, today announced it has been selected to join Meta’s exclusive Quest for Business (ISV) Program. The program, formerly called Oculus for Business, is designed to accelerate the development and global business adoption of VR/AR technologies supported by its Oculus Quest enterprise products.
TeamworkAR integrates seamlessly with the Oculus Quest enterprise platform, providing a hands-free, easy-to-use, fully portable solution ideal for on-the-job training, data visualization and remote collaboration. With tens of thousands of active TeamworkAR and Oculus users today, CGS is driving digital transformation in learning and its customers are realizing the benefits and business growth.
At CGS and with TeamworkAR, we’re helping usher in a new era of virtual and augmented reality, driving a seismic shift from what’s historically been seen as consumer entertainment to a true enterprise-ready solution that you can use – today – to decrease costs, improve profitability and create an amazing customer experience, From phlebotomists and fast-food workers to field services professionals and retail salespeople, we’re already empowering frontline workers with the right information and training at the right time, when and where it’s needed. Our partnership with Meta and the Oculus program is an exciting step toward realizing our shared vision of bringing experiential learning and augmented reality to enterprises.”
Doug Stephen, President, Enterprise Learning division, CGS.
Meta’s Quest for Business Program
The Quest for Business Program (formerly Oculus ISV Program) works with enterprise developers and Independent Software Vendors (ISVs) to engage with Oculus. The goal of the ISV program is to build awareness of Oculus as a true business productivity tool and accelerate commercialization and customer adoption of VR solutions built for Oculus enterprise products.
What’s especially unique and powerful about this partnership and leveraging Oculus Quest devices is it provides an ideal environment – the Metaverse – in which businesses and users in highly-regulated industries can learn, practice and hone their skills in a virtual environment, prior to operating in the physical world, The Metaverse and this new digitally transformed approach to learning opens the door to new possibilities for innovative ways to leverage and deliver learning solutions. It’s already dramatically improving time-to-success for employee training, and is resulting in a more engaged, confident and skilled workforce.”
Regina Nowlan, Senior Strategist for Learning and Development, CGS.
For nearly 40 years, CGS has enabled global enterprises, regional companies, and government agencies to drive breakthrough performance through business applications, enterprise learning and outsourcing services. CGS is wholly focused on creating comprehensive solutions that meet clients' complex, multi-dimensional needs, and support clients' most fundamental business activities. Headquartered in New York City, CGS has offices across North America, South America, Europe, the Middle East, and Asia.
Akkio | February 18, 2022
Akkio, the no-code AI company, today announced a wide range of new features, functionality and integrations to make it much easier for CIOs to deploy AI in any size organization.
For data analysts, the new offering delivers AI-driven insights up to 10X faster than before. And it does so in a workflow that is remarkably easier to use than other predictive analytic tools. For CIOs, AI can now be leveraged across their existing Analytics team to quickly optimize business performance in use cases ranging from sales to marketing to even forecasting.
Augmented AI has been rapidly growing. According to Gartner®, “The data science and machine learning (DSML) market has a relentless pace of innovation, reflected by multiple trends such as democratization, augmentation, operationalization and composability. This is giving shape to new platform generations.” (Source: The State of Data Science and Machine Learning, December 2021).
With this new update, teams in business units without AI expertise or experience can now easily train models and get insights on the most popular enterprise data sources and applications, now including Snowflake, BigQuery, Airtable, Hubspot, Salesforce, and Google Sheets. We’re trying to make AI as easy to use in business as Excel spreadsheets. Now anyone can get quick data wins - using AI to surface patterns and optimize key business outcomes.”
Jon Reilly, co-founder and COO of Akkio.
Transformations for Easier Data Preparation
Too much time is spent in any size organization on data preparation. Akkio greatly simplifies common tasks in getting data ready for an evaluation, such as filtering and merging datasets. Filter out unnecessary data rows from datasets in minutes. Enrich training data by merging different data sources with a single click, using machine learning to match records without unique IDs. Further customize data with these quick transformations to generate more and more accurate models quickly in response to changing business conditions.
New Forecasting Models
Akkio now offers time series and anomaly detection models, custom to your data. Time series models look at collections of observations in chronological order to surface patterns over time and forecast likely future outcomes. Commonly applied to use cases such as churn reduction, forecasting quarterly revenue numbers, and weekly inventory figures, deploying time series forecasts makes any organization’s data more valuable. And now Akkio provides a new feature that detects anomalies in data that allows preventative maintenance on IoT devices and detection of fraudulent transactions, among other use cases.
Predictive Data Analytics Extract Immediate Value from Data
Organizations recognize that the data they collect across their business gives them competitive market advantages if they can put that data to work and take action. Data analysts can now instantly gain insights from machine learning models that find and surface patterns in their data. Akkio offers the ability for analysts to see the most predictive factors in their data and understand the combination of factors that drive outcomes. Akkio also now automatically creates segments, or clusters, of data that groups together cohorts around an outcome. A business can then take action on segments by targeting specific cohorts with different offers, optimizing their conversion.
The explosive growth of complex and time-based data requires intelligent tooling that helps users make decisions much faster - analyzing data at a speed, volume and complexity that is beyond the reach of the human mind. No-code AI from Akkio can help businesses to extract the full value of their data.
Akkio, the no-code AI company, makes artificial intelligence easy enough for anyone to use. Combining state-of-the-art machine learning (ML) technology with a simple, intuitive platform lets any company become an AI-powered business.
Mendix | April 21, 2022
Mendix, a Siemens business and global leader in enterprise application development, and Atos, a global leader in digital transformation, today announced that they have signed an expanded partnership agreement to empower Atos to leverage the Mendix low-code platform to drive hyper-automation and decarbonization in enterprises. This partnership with Mendix enhances the longstanding, trusted partnership between Atos and Siemens, cementing Atos’ commitment to providing world-class, low-code solutions for global businesses.
At launch, the agreement will give Atos the license to sell Mendix low-code platform in multiple regions where Atos has a joint business collaboration with Siemens, including APAC, EMEA, and the Americas. The offering will become available in more and more countries after the initial launch.
Speeding up digitalization in manufacturing, retail, public sector, telecommunications, and financial services
While enterprises continue to undergo rapid transformation as they digitalize business processes and operations, increasing economic sectors and industries are adopting IT solutions that streamline efficiency, optimize resources, and increase revenue.
Atos will leverage the Mendix low-code platform to offer the broadest range of application modernization services and to fortify its industrial expertise and capabilities. Through this partnership, Atos will enable organizations to maximize the potential of low-code applications to support new user needs for fast and modern services across the manufacturing, retail, public sector, telecommunications, and financial services industries. With the help of the Mendix low-code platform, Atos customers can now launch complex, business-oriented digital initiatives without prohibitive investment in extensive technological capabilities and expertise.
Accelerating digital decarbonization
The agreement will also support Atos’ mission to push boundaries of scientific and technological excellence to ensure that its business partners, clients, and the greater society can thrive and function sustainably in a digitally secure information environment.
The Mendix platform integrates with existing components to take a circular economy approach to software development. By enabling organizations to upgrade their services one application at a time, it reduces the need for infrastructure overhauls, effectively enabling organizations to do more with less. The Mendix platform is cloud native and allows for containerized applications. This enables organizations to deploy anywhere and scale their apps to any size without redesign.
With the Mendix low-code platform, Atos can support its customers to develop low-emissions applications and thereby contribute to lowering their carbon footprints.
According to the ‘Exponential Climate Action Roadmap’ laid out by the World Economic Forum, digital technologies could help reduce global carbon emissions by up to 15% – or one-third of the 50% reduction required by 2030 – through digital solutions in energy, manufacturing, agriculture, transportation and traffic management. Through the new agreement, Atos and Mendix will provide those industries with solutions that immediately support their needs for decarbonization.
Atos is already building industry specific solutions based on the Mendix platform to monitor, report, and track real-time energy consumption and carbon emission across 1,800 locations globally.
Using low-code to propel legacy systems into a digital-first economy
“We are pleased to build on Siemens’ long-standing relationship with Atos and create high-value services that will further support hyper-automation and decarbonization in enterprises. With a strong background in application modernization, Atos has the expertise to establish a clear roadmap to modernize legacy applications and systems. This is crucial for enterprises seeking to rebuild or replace their legacy systems. Our low-code platform and Atos’ expertise are perfectly suited to accelerating that transformation,” said Tim Srock, CEO, Mendix. “Through this partnership with Mendix, Atos will help organizations streamline processes, reducing the total cost and time required to change or improve their application development systems.”
“As we operate within today’s fast-paced digital landscape, this partnership will allow us to capitalize on the Mendix low-code platform to offer unique services that rapidly adapt and respond to our clients’ market changes and opportunities, across all the industries we serve. We are confident this extension to our existing partnership with Siemens will bolster our joint commitment to create innovative solutions for enterprises looking to accelerate their digital transformation initiatives.”
Rakesh Khanna, Head of Digital at Atos
While enterprises continue to undergo rapid transformation as they digitalize business processes and operations, increasing economic sectors and industries are seeking IT solutions to streamline efficiency, optimize resources, and increase revenue. With the help of the Mendix low-code platform, organizations can now launch complex, business-oriented digital initiatives without prohibitive investing in extensive technological capabilities and expertise.
In a digital-first world, customers want their every need anticipated, employees want better tools to do their jobs, and enterprises know that sweeping digital transformation is the key to survival and success. Mendix, a Siemens business, is quickly becoming the engine of the enterprise digital landscape. Its industry-leading low-code platform and comprehensive ecosystem integrates the most advanced technology to support solutions that boost engagement, streamline operations, and relieve IT logjams. Built on the pillars of abstraction, automation, cloud, and collaboration, Mendix dramatically increases developer productivity and empowers a legion of not-so-technical, ‘citizen’ developers to create apps guided by their particular domain expertise, facilitated by Mendix’s engineered-in collaborative capabilities and intuitive visual interface.
Atos is a global leader in digital transformation with 109,000 employees and annual revenue of c. € 11 billion. European number one in cybersecurity, cloud and high performance computing, the Group provides tailored end-to-end solutions for all industries in 71 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea), listed on Euronext Paris and included in the CAC 40 ESG and Next 20 Paris Stock indexes.
Aspinity | February 16, 2022
Aspinity, the pioneer in analog machine learning chips, today launched the first member of its analogML family, the AML100, which is the industry’s first and only tiny machine learning (ML) solution operating completely within the analog domain. As such, the AML100 reduces always-on system power by 95%, allowing manufacturers to dramatically extend the battery life of today’s devices or migrate walled powered always-on devices to battery - opening whole new classes of products for voice-first systems, home and commercial security, predictive and preventative maintenance, and biomedical monitoring.
Minimizing the quantity and movement of data through a system is one of the most efficient ways to reduce power consumption, but today’s always-on devices don’t have that capability. Instead, they continuously collect large amounts of natively analog data as they monitor their environment and digitize the data immediately, wasting tremendous system power processing data that are mostly irrelevant to the application. In contrast, the AML100 delivers substantial system-level power-savings by moving the ML workload to ultra-low-power analog, where the AML100 can determine data relevancy with a high degree of accuracy and at near-zero power. This makes the AML100 the only tinyML chip that intelligently reduces data at the sensor while the data is still analog and keeps the digital components in low power mode until important data is detected, thereby eliminating the power penalty of digitization, digital processing, and transmission of irrelevant data.
We’ve long realized that reducing the power of each individual chip within an always-on system provides only incremental improvements to battery life. That’s not good enough for manufacturers who need revolutionary power improvements. The AML100 reduces always-on system power to under 100µA, and that unlocks the potential of thousands of new kinds of applications running on battery.”
Tom Doyle, founder and CEO, Aspinity.
Inside the AML100
The heart of the AML100 is an array of independent, configurable analog blocks (CABs) that are fully programmable within software to support a wide range of functions, including sensor interfacing and ML. This versatility delivers a tremendous advantage over other analog approaches, which are rigid and only address a single function. The AML100, however, is highly flexible, and can be reprogrammed in the field with software updates or with new algorithms targeting other always-on applications.
The precise programmability of the AML100’s analog circuits also eliminates the chip-to-chip performance inconsistencies typical of standard analog CMOS process variation, which has severely limited the use of highly sophisticated analog chips, even when the inherent low power of analog makes it better suited for a specific task.
Aspinity is the world leader in the design and development of analog processing chips that are revolutionizing the power- and data-efficiency of always-on sensing architectures. By delivering highly discriminating analog event detection, Aspinity’s ultra-low power, trainable and programmable analog machine learning (analogML) core eliminates the power penalty of moving irrelevant data through the digital processing system, dramatically extending battery life in consumer, IoT, industrial and biomedical applications.