Advanced analytics

AUSTIN, Texas, February 25, 2021 / PRNewswire / – Interactive trend line, a digital messaging consulting and professional services company based in Austin, Texas, today announced the acquisition of Canadian data and analytics company Data Analysis Group (To dig). This further strengthens Trendline’s data science and analytics services to better help customers understand their data and harness its value more effectively. The acquisition was completed with financial backing from mid-sized private equity firm Growth Catalyst Partners (GCP), terms were not disclosed.

“Businesses are prioritizing the role of data and analytics in their marketing efforts more than ever,” said Morgan stewart, CEO of Trendline Interactive. “Data Insight Group has mastered the art of translating complex data sets into successful marketing strategies. By coming together, we strengthen our ability to provide strategic advice and hands-on analytical support to our clients.

Founded in 2000, DiG has established itself as a leader in data analytics by helping clients organize, analyze and understand their data, thereby laying the foundation for data-driven marketing. Bringing a combination of strategic advice and hands-on analytical work, they help clients create the in-house tools and expertise needed to drive meaningful business results.

Today, Trendline’s Analytics team provides strategic insights and recommendations focused on optimizing campaign performance and advice on developing custom dashboards. The DiG team will complement the analytical offering by providing clients with opportunities to better segment, target and optimize content using advanced analytical techniques.

“Trendline’s mission to inspire businesses to create meaningful relationships through digital communication is a mission we wholeheartedly align with,” said Emma Warrillow, CEO of DiG. “We are excited to combine our team of data scientists and analytical experts with theirs to work closely together to unlock more business value for our clients. Emma will join Trendline’s advisory group as the Practice Leader for Analysis.

The acquisition of DiG follows Trendline’s acquisition in 2019 of the messaging agency Inbox Marketer and the acquisition in 2018 of Inbox Pros, an industry leader in deliverability, privacy and compliance. emails. Interactive trend line was ranked # 1862 on the 2020 Inc. 5000, with three-year revenue growth of 228%.

For more information on Trendline Interactive and DiG, please contact [email protected].

About Trendline Interactive
Trendline Interactive is a digital agency and consulting firm that inspires brands to create meaningful engagement through cross-channel communications. With a team of nearly 200 marketing professionals comprised of strategists, creatives and technologists, Trendline deploys the best combination of consulting, agency and analytics services to meet customer needs and exceed expectations. Trendline serves Fortune 1000 companies and was recently ranked # 1. 1862 on the 2020 Inc. 5000. The company is headquartered in Austin, Texas, with offices in Atlanta, Chicago, Portland, OR and Guelph, ON, Canada. For more information, please visit the website – http://www.trendlineinteractive.com.

About the Data Insight Group
Data Insight Group (DiG) is a customer data analysis consulting firm that helps midsize and large businesses make sense of their data to drive customer strategy and support their business goals. For over twenty years, they have worked with clients in a variety of industries including Retail Banking, Wealth Management, Insurance, Technology, Telecommunications, Fundraising, Business Services, Professional Services , retail and loyalty. DiG is headquartered at Toronto, Ontario and serves customers through North America.

Growth catalyst partners
Growth Catalyst Partners (“GCP”) is a mid-market private equity firm focused on information, marketing and technology services companies. GCP’s strategy is to target growth segments of industries and identify market-leading companies with breakthrough potential. GCP partners with senior executives in these industries and provides capital and expertise to existing management teams at target companies. GCP was founded by a veteran private equity investor Jim tenbroek and leading investment banker Scott peters, who have led hundreds of successful transactions and investments in service companies for over 20 years. For more information visit www.growthcatalystpartners.com.

SOURCE Trendline Interactive

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CHICAGO, February 23, 2021 / PRNewswire / – Adoption announced that it has signed a partnership agreement with Wipro Limited (NYSE: WIT), (BSE: 507685), (NSE: WIPRO), a leading global information technology, consulting and business process company, to provide industry intelligence to the service industries utilities, chemical processing, and oil and gas. The partnership merges Uptake’s advanced analytics software with Wipro’s consulting and implementation services to equip asset-intensive operators with digital tools for optimized maintenance and predictive analytics.

“Integrating multiple data sources and generating actionable insights is essential for businesses to grow and become smart businesses. By combining Wipro’s experience in Reliability Centered Maintenance (RCM) and Asset Performance Management (APM) with Uptake’s proprietary Asset Strategy Library^® (ASL^®), we will help heavy processing and energy customers to optimize their inspection and maintenance processes. We look forward to working with our mutual customers to achieve improvements in security, asset reliability, risk mitigation and overall cost reduction, ”said Arnab sarkar, Global Head, Energy Manufacturing Practice, Wipro Limited.

The Asset Policy Library (ASL), the world’s largest source of asset failure modes and maintenance strategies, covers more than 800 of the most common critical assets with more than 58,000 universal failure modes and over 178,000 reported conditions as found. ASL provides information on how and why critical assets and their components fail, and preventive maintenance (PM) strategies to avoid failures. ASL and its associated equipment strategies generated by Adoption PM Strategy Explorer, give operators access to recommendations and best practices organized by experts. The two components, in turn, power the maintenance strategy engine, Absorption compass, which automatically cleans work order data to optimize maintenance schedules.

“Asset-heavy businesses face complex challenges in legacy OT and IT systems, sustainability issues, and skills shortages that can be managed with predictive maintenance,” said André Soignier, vice president of product development at Uptake. “Uptake’s partnership with Wipro will facilitate the adoption and use of our advanced analytics products by businesses around the world. ”

Uptake’s partnership with Wipro comes as the industrial AI company recently announced its acquisition of ShookIOT, a leader in cloud native data integration and integrity, as well as its partnership with Reliability Center, Inc. (RCI), a provider of root cause analysis investigation software.

ABOUT THE PROCUREMENT
The uptake is the intelligence system for industrial assets. Providing an AI-powered asset performance management solution, Uptake offers all departments (maintenance, reliability and operations teams) a single, shared view of every asset in an operation. Using the power of data acquisition and artificial intelligence (AI), Uptake helps customers predict and prevent asset failures and unplanned downtime. Inspired by powerful data science models, our products deliver insights that mitigate risk, optimize maintenance strategy and asset performance, reduce costs, and improve security. With over 30 patents and recognized for its leadership in industrial IoT (IIoT) by the World Economic Forum, CNBC and Forbes, Uptake is headquartered in Chicago with presence in Canada, South America, Europe, India, and Australia. To stay up to date on what we do, visit us at www.uptake.com and follow us on Twitter and LinkedIn.

ABOUT WIPRO
Wipro Limited (NYSE: WIT), (BSE: 507685), (NSE: WIPRO) is a leading global information technology, consulting and business process services companies. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and succeed. A company recognized around the world for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have more than 180,000 dedicated employees serving clients on six continents. Together, we discover ideas and connect the dots to build a new, better and daring future. For more information visit www.wipro.com.

CONTACT
Bob Francois, Vice President of Marketing and Analyst Relations
[email protected]; 312-42-2200

SOURCE Adoption

Related links

http://uptake.com/

SAN FRANCISCO, February 3, 2021 / PRNewswire / – Fountain, the high-volume enterprise recruiting platform, today unveiled a new suite of analytics to empower business leaders to better understand the candidate journey and make decisions based on the data.

Fountain’s enterprise software is now equipped with self-service reports and a data tool that offers multiple dashboards, reports and visualizations to customers. Users can drill down to early digits, customize filters, export, send and schedule distribution of predefined reports to analyze candidate behavior and identify trends based on brand, location, stage, and more.

“The information our platform analytics tool provides to our clients will be critical in telling the story of their candidate behavior, advancing strategies and building better talent pipelines,” said the CEO, Sean behr.

Advanced analytics are the latest part of Fountain’s vision to simplify high-volume hiring for employers and improve the candidate experience for frontline and hourly workers. Fountain has recently improved its Infrastructure to include single sign-on, cloud hosting options and have completed their SOC2 certification. Previously, Fountain deployed a suite of features to help meet virtual recruiting needs with synchronous video interviews, resume analysis, universal candidate view, career sites and a chatbot. Together these additions and enhancements to the platform consolidate Fountain as the best enterprise solution for high volume recruiting and position Fountain to help employers hire for their remote workforce.

About Fontaine

Fountain is the high-volume recruiting platform that enables the world’s largest brands to streamline and expand their recruiting function. Our mobile-first platform maintains candidate engagement and reduces dropouts through integrated automated scheduling, SMS and email reminders. Applicants can apply anytime, anywhere in minutes, right from their phone. It allows on-the-go hiring managers to move quality talent through the pipeline, reducing recruiting time. Fountain provides local, regional and enterprise level analysis to make data-driven decisions. Our drag-and-drop workflow allows for quick changes to adapt to fluctuating hiring needs. Fountain’s global customers hire more than 1.2 million workers each year in 78 countries. Learn more about www.fontaine.com or log in via Twitter, LinkedIn or the Fountain blog.

Media contact:
Tracy Sestili, RP for Fountain
[email protected]
650-504-2164

SOURCE fountain

The need to understand the power of location data creates a new kind of business analyst. As the digitization of information has accelerated, producing massive amounts of data, companies have discovered that almost all datasets contain or can be explained using geographic knowledge and relationships.

As a result, this new generation of promising specialists understands both business and location. They bring a constellation of highly desired characteristics to their businesses, including the ability to use data to tell strategic stories about people and places, brands and markets. They have the technical skills to understand and apply geolocation knowledge to solve some of the most pressing and important issues facing businesses, including the following:

How to analyze and adjust supply chains for efficiency and sustainability

· How? ‘Or’ What determine the optimal routes for deliveries, services or sales, and remain agile in response to local needs, time of day, traffic conditions, delivery loads and weather conditions

How to analyze demographic changes for decide where to expand operations and provide services that better support the community and clients

These analysts harness location intelligence and apply in-depth analysis based on Geographic Information System (GIS) technology to gain competitive business insights. Rather than using spreadsheets, they apply visualization techniques with smart maps and interactive dashboards that highlight critical information in a way that’s easy to understand, communicate and share. The range of possibilities includes measuring current sales across multiple sites; real-time asset performance monitoring; and visualize predictive analytics that uncover risks, patterns and trends. Inundated with real-time data and historical trends, business leaders across industries are turning to these new analysts to drive growth, efficiency and innovation.

The use of location analysis and GIS extends beyond traditional priorities to include the entire end result: profit, people and planet. These new analysts are developing contingency plans to maintain supply chain operations in the face of natural and man-made hazards, improve environmental sustainability, and monitor social equity measures associated with company and partner operations.

Here are some examples of this new type of analyst at work and how these analysts are contributing and creating change.

The new analyst, CSR and the result

Corporate social responsibility (CSR) is now an essential part of a company’s brand and a measure by which consumers assess the company’s position as a good corporate citizen. New analysts are using location intelligence in conjunction with CSR principles, such as sustainability and environmental management, to help companies succeed financially while remaining environmentally responsible.

In some cases, financial profitability and environmental sustainability are directly related. For example, companies that plant and harvest trees in natural forests have found that they need to have a comprehensive understanding of the forest ecologies with which they interact. If animals, plants and insects are not in balance, the forest as a whole will be weakened.

GIS- and smart-map-based data collection, synthesis and analysis can track the locations and sizes of indicator species, and even combine aerial image analysis to help users assess health plant and tree species. As preserving biodiversity becomes an even more essential part of sustaining business, the new role of analyst will become more relevant and broader.

In the wood resources example, without the location intelligence information and dashboards to monitor the forest, and without the new analysts to interpret the impacts and mitigate the risks, the next harvest of exploitable trees could to be in danger. This could mean higher raw material prices, decreased profits and increased risks for the lumber producer and all the businesses that use his trees.

Tell the customer a powerful digital story

New analysts are storytellers who use GIS to create compelling interactive presentations rather than PowerPoint slides to communicate options and present results. And they do it from a customer perspective, using hard facts, last-minute analysis and a visually expressive storytelling that meets customers’ business needs.

Even the most talented storytellers can find it difficult to bring the facts to life for the audience to help them make the best business decision. This is where the new analyst can help by providing smart cards and dashboards that allow the client to explore scenarios.

Instead of hard-to-interpret spreadsheets, location analysis translates information into intuitive, color-coded visuals that better communicate market and demographic trends. For example, location analysis can identify the best places for businesses to add distribution centers, open healthcare facilities, or invest in new product launches. Using GIS technology, the new analyst examines the factors that will determine success, such as local wages, affordability, population growth, traffic and prices for commercial real estate. These variables are used to highlight opportunities and areas of concern that indicate the best or riskiest places to do business. Some companies offer their geolocation services to clients such as advertisers, retailers, banks, hospitals and entertainment industry organizations to help them develop strategic marketing and expansion plans.

Pass the message on to the C-Suite

No matter how good an idea is, however good the insight, the message remains an abstraction unless the leadership supports it. Sometimes that means overcoming inertia, traditional thinking, corporate boundaries, information silos, or healthy skepticism.

Knowing how to approach the C-suite is a specialty of these new analysts, many of whom have learned to translate technical discourse and statistical analysis in the language of corporate culture.

Gaining leadership buy-in requires the ability to translate data and analysis into compelling information. The new location analyst can summarize and synthesize relevant and actionable data. These analysts contribute to both the short-term game plan and the long-term strategy for success.

Bring the location to the customer

Almost everyone is familiar with the adage ‘location, location, location’ when it comes to real estate investing – the new analyst brings a twist to this industry truism by emphasizing location intelligence.

Over the decades, brokers have taken their clients on tours of properties that include the surroundings as well as the property and structure itself. But the COVID-19 pandemic has reduced much of this age-old practice in person. To safely show off buildings and neighborhoods during the pandemic, brokers and developers turned to savvy analysts and software experts to create applications that lead the client to a realistic 3D model properties and surroundings.

Using these apps, clients and brokers explore realistic 3D models of the neighborhood or virtually walk around a building. They can also engage with relevant information and data about the space and its assets and amenities.

While not all new analysts can create a 3D model, GIS tools integrate easily with CAD software, so the analyst can merge data from these once separate disciplines. The new Location Analyst understands the power and value of big data and immersive tools to create the insights and engagement that drive sales through virtual tours.

New analysts research regional sales trends, tax districts, political voting trends, market demographics, and types of businesses opening nearby. They understand enough the needs of the business to know how to describe the interrelationships among the many factors. They also understand how to present these relationships so that they are easy to grasp and relevant to the customer.

New analysts are already in training

Colleges and universities are already meeting the growing demand for this new type of analyst. While each industry’s problems may be different, the approach to solving them is consistent and the techniques are the same. Convinced of the value, business leaders partner with colleges to hire and train professionals with the right skills to help transform the business.

Some companies even sponsor business analyst competitions between teams of students or business leaders and managers. Teams work on real-world problems using GIS-based location intelligence and other software to find award-winning answers.

In sectors ranging from energy To clothes in agriculture, this new generation of analysts is filling a void and driving growth in new areas of business – and its ranks are making a name for themselves as space commercial transformers.

To learn more about how companies are tapping into new analysts and their geolocation expertise, visit esri.com/location-intelligence.

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ManTech was awarded a five-year, $ 273 million contract with the Department of Homeland Security (DHS) To provide business intelligence support services (BISS) in support of the ministry’s anti-crime and terrorism efforts Customs and border protection (CBP), the company reported Thursday.

“ManTech’s sophisticated analytics, automation and AI capabilities allow us to analyze mountains of data to find and deliver actionable, accurate and relevant intelligence essential to protecting our nation”,? noted Bryce pippert, Executive Vice President of the Federal Civil Sector of ManTech.

As part of the contract, ManTech will provide end-to-end analytical support based on intelligence analysis from multiple data sources; predictive modeling through machine learning; traveler entity resolution through true positive identification; comprehensive threat research covering classified and open source data; and support for big data platform queries.

In addition, ManTech will develop advanced visualizations that will allow the agency to simplify complex data discoveries and turn them into actionable insights for CBP agents. With ManTech ™ offerings, CBP will be able to identify the intent, threat level and location of targets.

“By harnessing the power of machine learning, we identify data anomalies that might be missed by the human eye, as well as subtle trend changes that can be highly predictive of future behavior”? ? Pippert added.

ManTech has been providing BISS to CBP since 2017 to detect and prevent threats.

About ManTech

ManTech provides mission-driven technology solutions and services to US defense, intelligence, and federal civilian agencies. In business for over 52 years, we excel in full spectrum solutions for cyber, data collection and analysis, enterprise computing, systems engineering and software application development that support charges national and internal security.

BOCA RATON, Florida, June 22, 2020 / PRNewswire / – AE Industrial Partners, LP (“AEI”), a private equity firm specializing in the aerospace, defense and government services, power generation and industrial markets specialist, today announced that it has acquired a majority stake in NuWave Solutions (“NuWave” or the “Company”), a leading provider of solutions for data management, advanced analytics, artificial intelligence, machine learning and cloud offering solutions and technologies of anticipatory intelligence and advanced decision support to the federal government. Terms of the transaction were not disclosed.

AEI also announced that industry veterans Dr. Reggie Brothers and Michael buscher joined NuWave as CEO and CEO, respectively. Mark Keyser, co-founder of NuWave, will reinvest in the platform and remain with the company as an advisor to the board of directors.

NuWave’s unparalleled expertise in advanced technologies throughout the advanced analytics and artificial intelligence lifecycle enables its customers to solve complex problems and better manage information. With offices in McLean, Virginia and Colombia, Maryland, NuWave was recently recognized by the Washington Post as one of the region’s best places to work and was named that of Virginia number one workplace by Virginia Business. The Company provides innovative and personalized solutions through the development, selection and integration of advanced technologies. A 2019 industrial innovation winner for its Virtual Anticipation Network (VANE), a machine learning and anticipatory intelligence tool, as well as for its business management decision support (EMDS) solutions, NuWave has created tremendous momentum in the fields advanced analysis and artificial intelligence.

NuWave will be a new stand-alone platform for AEI as the company continues to expand its reach of defense and government services in the areas of advanced analytics and artificial intelligence.

“NuWave is a well-respected leader in its field and an ideal launching pad to build a world-class advanced analytics and artificial intelligence platform. We welcome them to our growing portfolio, ”said Jeffrey Hart, vice-president at AEI. “Artificial intelligence and machine learning continue to gain traction, helping governments and businesses leverage their vast amounts of data to make better decisions. The end uses for these capabilities continue to evolve and we look forward to being at the forefront of that evolution with the NuWave team. “

“Attracting a company like AEI is a testament to the vision, culture and technical prowess of NuWave,” said Mr. Keyser. “The company has assembled an unrivaled team of experts who strive every day to provide our customers with a tactical advantage and competitive advantage through our industry-leading solutions. With new financial and operational support from AEI, in addition to their strategic vision for the company, I believe NuWave is poised to accelerate its already impressive growth, as well as consolidate its capabilities and reputation as a key player in the artificial intelligence and learning market Automatique. “

Dr. Brothers was previously the CTO of Peraton, a technology-driven solutions provider for the US government. Prior to coming to Peraton, he supported the US Department of Homeland Security as Under Secretary for Science and Technology and was Assistant Under Secretary of Defense for Research for the Department of Defense. In addition, Dr. Brothers has held various positions within DARPA, the Chertoff Group, BAE Systems, Charles Stark Draper Lab, Envoy Networks, and the MIT Lincoln Lab.

As Director of Growth, Mr. Buscher will help extend NuWave’s reach to the defense and intelligence communities. Mr. Buscher most recently served as Vice President of Intelligence and Special Operations at Peraton and also spent 20 years in the national security arena, both with US Army Special Operations and the CIA. He also founded Vanguard Defense Industries, which pioneered the use of drones in the commercial and law enforcement sectors and created the Shadowhawk® unmanned aerial system.

“We are very pleased to welcome Reggie and Mike, proven leaders with exceptional credentials,” said Kirk konert, Partner at AEI. “They bring a deep understanding of critical technologies and many years of experience both in highly relevant government positions and helping private companies develop and implement growth strategies. We look forward to working closely with Reggie, Mike and Mark as the company embarks on its next chapter. “

Akerman LLP served as legal advisor and Grant Thornton LLP served as financial advisor to AEI. Mcnees wallace & Nurick LLC served as legal counsel and Conlin & Co. served as financial advisor to NuWave.

About NuWave Solutions
Based in the Washington DC metropolitan, NuWave Solutions is a leading provider of data management, advanced analytics, artificial intelligence, machine learning and cloud solutions that provide anticipatory intelligence and decision support solutions and technologies advanced to the federal government. NuWave provides innovative and personalized solutions through the development, selection and integration of cutting-edge technologies. The company has unparalleled expertise in cutting-edge technologies throughout the data analysis and management lifecycle and applies its expertise and teamwork to empower clients to solve complex problems, to communicate and manage information. For more information, please visit https://www.nuwavesolutions.com/.

About AE’s industrial partners
AE Industrial Partners is a private equity firm specializing in the aerospace, defense and government services, power generation and specialty industry markets. AE Industrial Partners invests in market-leading companies that can benefit from our in-depth industry knowledge, operational experience and relationships in our target markets. Learn more about www.aeroequity.com.

CONTACT:
Lambert & Cie.
Jennifer hurson
(845) 507-0571
[email protected]

Where

Kristin celauro
(732) 433-5200
[email protected]

SOURCE AE industrial partners

In honor of World Bee Day, SAS highlights three separate projects where technology monitors, tracks and improves pollinator populations around the world. First, SAS researchers developed a non-invasive way to monitor real-time conditions in hives using auditory data and machine learning algorithms. SAS also works with Appalachian State University on the World Bee Count to visualize data on the world’s bee population and understand the best ways to save it. Finally, the recent SAS^® Viya^® The hackathon winners decoded bees’ communication through machine learning to maximize their access to food and increase the human food supply.

“SAS has always looked for ways to use technology for a better world,” said Oliver Schabenberger, COO and CTO of SAS. “By applying advanced analytics and artificial intelligence to beehive health, we have a better chance as a society of securing this extremely important part of our ecosystem and, ultimately, our food supply.”

Non-invasive hive health monitoring
Researchers from the SAS IoT division are developing a bioacoustic monitoring system to non-invasively monitor real-time hive conditions using digital signal processing tools and machine learning algorithms available in SAS Processing event streams and SAS Viya software. This system helps beekeepers better understand and predict hive problems that could lead to colony failure, including the emergence of new queens – something they wouldn’t normally be able to detect.

The annual loss rates of American hives exceed 40%, and between 25% and 40% of these losses are due to queen failure. Acoustic analysis can immediately alert beekeepers to missing queens, which is vitally important to dramatically reduce colony loss rates. With this system, beekeepers will have a better understanding of their hives without having to perform tedious and disruptive manual inspections.

“As a beekeeper myself, I know the magnitude of the impact bees have on our ecosystem, and I am inspired to find innovative ways to raise healthier bees for the benefit of all,” said Anya McGuirk, Distinguished Research Statistician Developer in the IoT division of SAS. “And as a SAS employee, I am proud to have conducted this experiment with SAS software in our own campus hives, demonstrating both the power of our analytical capabilities and our commitment to innovation and sustainability. “

By connecting sensors to SAS’s four Bee Downtown hives at its headquarters in Cary, North Carolina, the team started beehive data dissemination directly to the cloud to continuously measure data points in and around the hive, including weight, temperature, humidity, flight activity and acoustics. Flow machine learning models have been used to ‘listen’ to the sounds of the beehive, which can indicate the health, stress levels, swarming activities and condition of the queen bee. To ensure that only the hum of the hive was used to determine the health and happiness of the bees, the researchers used robust principal component analysis (RPCA), a machine learning technique, to separate out extraneous noises or irrelevant to the inventory of sounds collected by the beehive microphones.

The researchers found that with the capabilities of RPCA, they could detect worker bees “stinging” at the same frequency range at which a virgin queen stings after a swarm, likely to assess whether a queen was present. The researchers then designed an automated pipeline to detect either the queen piping following a swarm or the worker piping that occurs when the colony is queenless. This is of great benefit to beekeepers, warning them that a new queen might emerge and giving them the opportunity to intervene before a significant loss occurs.

Researchers plan to implement the acoustic diffusion system very soon and continue to look for ways to expand the use of the technology to help honey bees – and, ultimately, humanity.

Visualize global pollinator populations
Today, on World Bee Day, SAS is launching a data visualization that maps “counted” bees around the world for the World Bee Count, an initiative co-founded by the Analytical Research and Education Center (CARE) at Appalachian State University. The goal of a global bee count is to inspire citizens around the world to take pictures of bees as a first step in understanding the reasons for their alarming decline.

“The Global Bee Count allows us to collect bee data both to visualize our planet’s bee population and to create one of the largest and most informative bee data sets at this time. day ”, said Joseph Cazier, professor and executive director at Appalachian State University CARE. “The visualization of SAS data will show the location of bees and other pollinators in common. In a later phase of the project, researchers can overlay key data points such as crop yield, rainfall and other factors contributing to bee health, garnering a more complete understanding of our world pollinators. ”Bayer has agreed to help sponsor CARE to enable its students and faculty to research data from the Global Bee Count and other digital pollinator data sources.

In early May, the World Bee Count app was launched for users – both beekeepers and the general public, aka “citizen data scientists” – to add data points to the global pollinator map. In the app, beekeepers can enter the number of beehives they have available and any user can submit pollinator photos from their camera roll or through the in-app camera. Thanks to SAS Visual Analytics, SAS has created a visualization card to view images that users submit through the app. In addition to showing project results, the visualizations can potentially provide insight into the conditions that lead to the healthiest bee populations.

In future stages of this project, the robust dataset created from the app could help groups like universities and research institutes better strategize to save these vital creatures.

Using machine learning to maximize bees’ access to food
Representing the Nordic region, a team from Amesto NextBridge won the SAS EMEA Hackathon 2020, which challenged participants to improve sustainability using SAS Viya. Their winning project used machine learning to maximize bees’ access to food, which in turn would benefit humanity’s food supply. In partnership with To come up, the team successfully achieved this by developing a system capable of automatically detecting, decoding and mapping the “stirred” dances of bees using the observation hives of Beefutures and SAS Viya.

Bees are responsible for the pollination of nearly 75% of all plant species directly used for human food, but the number of bee colonies is declining, resulting in devastating loss to the human food supply. One of the main reasons for the decline of bee populations is the lack of access to food due to the increase in monoculture. When the bees find a good source of food, they return to the hive to communicate its exact location through a “waggle dance”. By observing these dances, beekeepers can better understand where their bees feed, and then consider establishing new hives in those locations to help maintain strong colonies.

“Watching all of these dances manually is next to impossible, but by using video footage from inside beehives and training machine learning algorithms to decode the dance, we will be able to better understand where bees find food,” he said. said Kjetil Kalager, Amesto NextBridge and Beefutures Team Leader. “We implemented this information, along with the coordinates of the hives, the angle of the sun, the time of day, and the farming around the hives into an interactive map in SAS Viya, then beekeepers can easily decode these. information about beehives and move to better-suited environments if necessary. “

This systematic real-time monitoring of wriggling dances allows bees to act as sensors for their ecosystems. Further research using this technology could uncover other information that bees communicate through dance that could help us save and protect their people, which ultimately benefits us all.

Check it out waggle dance project in action and find out how SAS is committed to corporate social responsibility.

About SAS
SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to turn data into intelligence. SAS gives you THE POWER TO KNOW^®.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the United States and other countries. ® indicates United States registration. Other brand and product names are trademarks of their respective companies. Copyright © 2020 SAS Institute Inc. All rights reserved.

Editorial contact:
Kara roberts
[email protected]
919-531-5449
sas.com/news

SOURCE SAS

Related links

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Mobile operators – especially the visited operator that provides network access to inbound roaming people – find it difficult to monetize inbound M2M / IoT connections due to lack of transparency, limitations imposed by trade agreements, and complexity that surrounds access control for traveling machines. Without transparency and control, operators face competition over connectivity alone, with the inevitable result of commodification of prices and falling market share.

So what can be done to more effectively monetize inbound connections?

It is important to understand that the makeup of roaming subscriptions has changed and will continue to do so due to the ever-increasing number and variety of roaming features. It is no longer reasonable to assume that all homeless are human and can be segmented by traditional criteria such as quiet versus active, business versus casual, and high usage versus low usage.

Today, the fundamental segmentation between human-like communication (HTC) and machine-like communication (MTC) in roaming is crucial. The types of communication exhibit very different characteristics of use and behavior in some scenarios, but very similar characteristics in others.

How do you segment, target and increase roaming revenue, if you can’t tell humans from machines?

Secondly, once the issue of transparency has been resolved, it is essential that, for MTC roaming scenarios, mobile operators are able to collect traffic to their network through a secure and dedicated gateway, allowing operator to also collect M2M traffic. .

The first step focuses on transparency, the second on maintaining control.

There are already a number of solutions available in the market which attempt to meet the challenge of transparency. The vast majority of them rely heavily on Account Transferred Procedures (TAP) or Near Real-Time Roaming Data Exchange (NRTRDE), accounting data and / or device data from International Mobile Equipment Identity (IMEI). This approach applies a set of business rules based on usage patterns or device signatures to classify a rover as a human or a machine.

This classification method for MTC and HTC is no longer appropriate. First, it requires access to Data Clearinghouse (DCH) records such as TAP or NRTRDE streams. Not all roamers generate TAP / NRTRDE records, if there is no usage then there are no usage records. Remember that for most operators a significant percentage of roamers are silent and show no usage.

Another problem is that IMEI data – device data – is not readily available to all roamers. The majority of Signaling System 7 (SS7) transactions, for example, do not have IMEI as a required or optional parameter, which means that roamers that generate only SS7 traffic will not provide IMEI information. Diameter signaling (s6a) and GPRS tunnel protocol (GTP) normally provide the IMEI setting and device information, but this is only true for 60% of roamers, as the remaining 40% generate only roaming SS7 traffic. This means that in the best-case scenario, using DCH and IMEI data to identify human homeless versus machines would only cover around 60% of your overall homelessness, which means the remaining 40% remains unknown.

Finally, to add even more complexity, there are machines that behave like humans and humans that behave like machines from the point of view of use and mobility. Neither usage data nor device data alone can be used to identify features distinctive enough to distinguish the two.

BICS has therefore developed a solution to analyze the raw signaling activity in real time of roaming subscriptions on 2G / 3G / 4G networks and automatically classify the activity of each roamer as MTC or HTC.

Each roamer, whether human or machine, generates signaling traffic data. It doesn’t matter whether they use paid services or not, they have to communicate with the different elements of the network to move around – even silently – and this network level communication occurs more frequently and consistently than any other business activity. roaming.

BICS built a unique machine learning model and used data science to train his model on billions of signaling traffic data records for known machines and known humans. This creates a self-contained classifier capable of identifying MTC and HTC, and thus categorizing homeless people as humans or machines.

This approach can classify 100% of roaming accurately, with 95% accuracy using only SS7 traffic data, and 98% or better accuracy with at least two technologies, such as SS7 and Diameter (s6a) or SS7 and GTP-C or SS7 and GTP-U and Diameter (s6a), as examples.

BICS advanced analyzes combines data science techniques with real-time traffic data and industry-leading data visualization tools to help solve this and other IoT roaming issues. The first version addresses the use cases of inbound M2M and persistent roaming detection, to provide near real-time identification of inbound M2M / IoT subscriptions to help operators monetize existing M2M and IoT connections. on their network.

The system also enables real-time monitoring of known M2M / IoT outbound subscriptions, to monitor and investigate Quality of Service (QoS) issues for deployments and also identify unknown outbound subscriptions to help operators understand and control to what are their SIM cards used for on foreign networks.

Finally, an in-depth analysis of roaming mobility, device distribution and usage profiles is enabled to help operators understand the different behavioral characteristics for each type of connection in their network.

If you would like to know more about BICS Advanced Analytics solution, contact Damion Rose, here.

PRINCETON, New Jersey, April 29, 2020 / PRNewswire / – Life Sciences Consulting Firm Beghou Council recently hired industry veteran Janardhan Vellore to strengthen the company’s advanced analytical capabilities and technological solutions. Vellore will join as vice president.

“Janardhan is an unparalleled leader in the life sciences industry, particularly in its innovative use of advanced analytics to address emerging business challenges,” said Beth beghou, founder and CEO of Beghou Consulting. “As a result, he has become a trusted advisor to life science companies of all sizes. He will complement our already strong advanced analytics team and play a key role in our growth efforts.

Vellore brings deep experience of the end-to-end capabilities that shape and inform business strategy, including managed care and access, patient orientation, and marketing, digital and technology solutions. Additionally, he will strengthen Beghou’s offerings related to all aspects of business operations – including forecasting, sales force design, segmentation, targeting and incentive compensation – with particular expertise in launching new products.

Vellore previously held executive positions at Bayer and Novartis Pharmaceuticals, where he led business analysis, market research and management science teams. He also held a leadership role at Analytical Wizards, where he spearheaded the growth of his advanced analytics practice area and commercialized cloud-based big data platforms for the science industry. of life.

“Beghou consistently delivers superior value and top-notch results through its subject matter expertise and seamless collaboration. Its superior customer service and high quality insight into business operations serve as key differentiators among its peers, ”said Vellore. “My experiences internally in life science companies and as a consultant have given me a unique perspective on the business challenges and opportunities of a life science company. I am delighted to use these experiences to help more companies solve their pressing business problems and lead to greater success in the fast-paced market. “

Vellore received an MBA from the Wharton School of the University of Pennsylvania, a master’s degree in biomedical engineering from The Akron University and a bachelor’s degree from Indian Institute of Technology, Madras. It is based at Princeton, New Jersey.

About Beghou Consulting
Founded in 1993, Beghou Council specializes in helping life science companies – particularly emerging pharmaceutical companies – establish and manage business operations to better market and sell therapies. By deploying advanced analytics and proprietary technology, Beghou consultants have provided strategic advice to the world’s largest pharmaceutical companies, supporting some since childhood. Based at Evanston, Illinois., the firm has six offices and employs more than 150 professionals around the world. To learn more, visit www.beghouconsulting.com or follow us on Facebook and LinkedIn.

SOURCE Beghou Consulting

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