Tag Archives: Machine Learning

Transmetrics’ AI-powered demand forecasting and predictive optimization platform deployed by Egyptian shipping company Transmar

CAIRO, Egypt / AMSTERDAM, The Netherlands, 31-Mar-2021 — /EPR INTERNET NEWS/ — The ‘AI platform for logistics’, as Transmetrics is often referred to, is successfully streamlining operations at Transmar, a leading carrier of containerized cargo between Egypt and its key partners in the region. Transmetrics’ demand forecasting and predictive optimization platform is powered by artificial intelligence and machine learning algorithms.

With four decades of experience and a strong operational presence in Egypt, KSA, UAE and Sudan, Transmar has built a solid reputation in the market, founded on family values that drive the company’s ambition to offer the best in class service to its customers. Transmar owns and operates a large fleet of both dry and refrigerated containers, serves thousands of customers, and moves hundreds of commodities throughout the Middle East.

“We strongly believe in the power of Data. Transmetrics’ AI solution helps us leverage our 4 decades of operational experience, to make decisions both faster and smarter. As a regionally focused carrier we are more exposed to volatility. We’re excited about the capabilities Transmetrics will provide by helping see up to 12 weeks into the future, ensuring we have optimum planning and repositioning plans” said Ahmed el Ahwal, Commercial Manager at Transmar. In a recent study, the Boston Consulting Group (BCG) estimates that repositioning empty containers in the shipping industry costs €13 to 17 billion per year (US$14 – 19 billion), which adds up to 8% of a shipping line’s operating costs.

Transmetrics software provides daily rolling AI-driven forecasts for the next 10 to 12 weeks based on the cleansed historical data and relevant external factors influencing the demand. The planning and system optimization tools suggest an optimal and actionable plan for the repositioning of empty containers as well as storage for the next 12 weeks. This also takes into account all the related costs. Stevedoring, gate costs, etc. as well as other variables, and business constraints. The system is equipped to consider repair and maintenance as cost variables which is now work in progress and being co-developed with Transmar.

“We are thrilled to announce this new partnership with Transmar. It goes to show that the AI revolution in logistics is happening worldwide. I look forward to the results we will achieve together with the great team at Transmar” said Jon Fath, CEO of Transmetrics. “This requires deep knowledge of logistics processes because it is still a very hands-on business. Big Data methods, which are used in our product, support our client’s team in finding smarter ways to reposition their assets so that the Transmar local agencies have the right amount containers available when they need it.“

“Transmetrics’ solution helped our team to more accurately allocate our assets. Its monitoring tools and automated forecast result in improved turntime of our assets. Actually, it is a Double Win: our customers benefit from even better services and our team gets state-of-the-art support from AI,” El Ahwal said.

Transmetrics and Transmar also identified a number of next steps to further increase the benefits of Transmetrics solutions such as cabotage management functionality and a management dashboard. The dashboard will include cost reporting and is expected to show how the supply chain will look like for the next 3 months due to its predictive capabilities. “After implementation, Transmetrics is still giving us very professional and pleasant customer service, being open for discussions on product enhancements and being always available for questions and corrections on the data or on the logic where it is needed”, said Hossam Houta, Asset Manager at Transmar.

SOURCE: EuropaWire

Syniti expands collaboration with SAP to help customer’s move to SAP S/4HANA

BOSTON, MA, U.S.A., 20-Oct-2020 — /EPR INTERNET NEWS/ — Syniti, a leading Enterprise Data Management company, today announced its latest strategic collaboration with SAP Data Management and Landscape Transformation (DMLT) Services for customers moving to SAP S/4HANA via selective data transition (SDT).

SAP’s Data Management and Landscape Transformation (DMLT) Services is a dedicated service provider within SAP for data migration and management. They assist customers moving to SAP S/4HANA using a defined approach and best practices for a smooth overall transition. Their expertise covers all transition paths to SAP S/4HANA and their DMLT Migration Workbench now includes SAP Advanced Data Migration by Syniti™ for customer specific transition scenarios.

“We’re excited to increase our collaboration with SAP and provide even more ways to accelerate customers seamlessly to SAP S/4HANA,” said Kevin Campbell, CEO of Syniti. “The combination of DMLT expert services and Syniti’s certified software significantly improves clients’ experience and accelerates their value when moving to SAP S/4HANA.”

This strategic collaboration between DMLT leveraging SDT and Syniti’s certified software, provides customers the best of greenfield and brownfield approaches for accelerating SAP S/4HANA deployments for any application environment with a trusted, flexible and fast way to migrate. This offer is available now and you can read SAP’s press release here for additional information.

“This SAP solution is envisioned to increase customer value more than any other solution in the marketplace and ensure the customer’s move to SAP S/4HANA will be completed with the best-in-class data quality, speed, savings, predictability and efficiency,” said Stefanie Kuebler, Global Vice President of Data Management & Landscape Transformation at SAP. “This combination of Syniti’s powerful software and SAP’s premium services, provides customers the highest degree of customer success, best-in-class software and expert services.”

Syniti is a leading Enterprise Data Management company and certified SAP Solution Extension (SolEx) partner, whose software is resold by SAP with deployment options available on premise or in the cloud. Projects using SAP Advanced Data Migration by Syniti are recommended by SAP and experience significant savings, such as:

  • 303 percent three-year return on investment with an average eight-month payback on investment
  • 46 percent faster completion of data migration projects
  • 96 percent reduction of unplanned downtime

According to an IDC White Paper, sponsored by Syniti and SAP, “The Business Value of SAP Advanced Data Migration by Syniti” was published June 2020 and is available for download at http://www.syniti.com/businessvaluestudy.

SOURCE: EuropaWire

CDP Industry Update July 2019: Fifteen of the nineteen new CDP vendors are from outside the U.S.

SWARTHMORE, PA, U.S.A., 8-Aug-2019 — /EuropaWire/ — The Customer Data Platform Industry continued its rapid growth in the first half of 2019, according to the CDP Institute’s semi-annual Industry Update. The industry added nineteen vendors and raised $317 million in new capital during the period while employment was up 71% over the previous year.

Major shifts in the market included expansion in Europe, EMEA, and APAC. Fifteen of the nineteen new CDP vendors are from outside the U.S. The Institute also confirmed its projection for the CDP industry to reach the $1 billion revenue in 2019.

Other milestones the report were:

  • More Funding. Cumulative funding for the industry grew by $680 million, reflecting funding during the period plus previous funding for vendors just entering the industry.
  • Strategic acquisitions. The period saw two CDP acquisitions: data integration specialist Allsight by Informatica and B2B CDP Lattice Engines by Dun & Bradstreet. Neither buyer is primarily a marketing system vendor, illustrating the value that companies in related sectors now see in CDP functions.
  • Operational CDPs. The period also saw addition of three vendors with a primarily operational focus: two customer success systems (Gainsight and Totango) and one in healthcare (Healthgrades). These firms represent the leading edge of a new class of CDP vendors that is expected to grow rapidly.
  • Marketing Cloud entrants. Salesforce, Adobe, and Oracle all announced future CDP products that are expected to be available before the end of 2019. These attracted new attention and are expected to substantially expand CDP awareness and adoption.

Vendor Categories

The CDP Institute report groups CDP vendors into three categories based on the functions provided by their systems. Categories are:

  • Access. These systems gather customer data from source systems, link data to customer identities, and store the results in a persistent database available to external systems. This is the minimum set of functions required to meet the definition of a CDP.
  • Analytics. These systems provide data assembly plus analytical applications. The applications always include customer segmentation and sometimes extend to machine learning, predictive modeling, revenue attribution, and journey mapping. These systems often automate the distribution of segment lists to marketing automation or advanced analytics products.
  • Campaigns. These systems provide data assembly, analytics, and customer treatments. These treatments may be personalized messages, real time interactions, product or content recommendations, outbound marketing campaigns, customer journey orchestration, or other contacts. What distinguishes them from segmentation is they also specify the message to be delivered.

SOURCE: EuropaWire

PG Services will be demonstrating DB CyberTech’s GDPR solution during Elastic{ON} Frankfurt on October 30, 2018

SAN DIEGO, CA, USA, 29-Oct-2018 — /EPR INTERNET NEWS/ — DB CyberTech, a pioneer in machine learning based predictive data loss prevention, today announced that it is launching into the European market through a partnership with PG Services of Luxembourg. PG Services joins DB CyberTech’s growing partner ecosystem focused on bringing the next generation of truly intelligent cybersecurity solutions to market. DB CyberTech’s European operations will be headquartered in London.

“We’re excited to begin our new partnership with DB CyberTech. PG Services is known for selecting best in class solutions and integrating them into the Elastic SIEM for our global clients,” said Ali Alaie, Managing Director of PG Services. “After careful review and engineering investment in Europe, we selected DB CyberTech’s patented and award winning compliance and security platform to build a modernized connector that now presents critical GDPR discovery and classification data through the Elastic interface. We’re making DB CyberTech’s innovative platform for compliance and security available to all of our global Elastic clients. I’m pleased to showcase the integrated solution at this weeks Elastic{ON} conference in Frankfurt.”

DB CyberTech solutions enable customers with real-time visibility into their structured data for data security and GDPR compliance. The GDPR compliance solution is based on natural language processing to enable automated and continuous identification of high-value and sensitive personal data.

“We’re truly impressed with PG Services extensive experience with Data Analytics and Elastic value-added integrated solutions,” said Ali Hedayati, COO and President of DB CyberTech. “Our solution integration with PG Services Elastic-centric technology enables visualization, analysis, and searching of host intrusion detection alerts. The integration provides customers with comprehensive visibility, intelligent data classification, and automated machine learning for detection of suspicious activity in the data tier for security and GDPR compliancy.”

PG Services will be demonstrating DB CyberTech’s GDPR solution during Elastic{ON} Frankfurt on October 30, 2018.

SOURCE: EuropaWire

Advanced Data Classification now available for DB CyberTech’s #Predictive Data Loss Prevention and #GDPR solutions

SAN DIEGO, CA, United States, 27-Aug-2018 — /EPR INTERNET NEWS/ — DB CyberTech, a pioneer in machine learning based predictive data loss prevention, today announced advanced data classification for structured data as a new capability of their security and privacy platform. This new capability supports compliance with EU’s General Data Protection Regulation (GDPR).

DB CyberTech’s advanced data classification utilizes natural language processing to continuously and accurately identify high value sensitive data such as personal data, intellectual property, and financial information. With this capability, privacy professionals and Data Protection Officers are now able to focus more of their attention on a set of databases that store sensitive data and therefore pose the greatest risk to the organization.

Advanced Data Classification is available now for DB CyberTech’s Predictive Data Loss Prevention and GDPR solutions. Data classification operates completely non-intrusively by analyzing database conversations. No database login credentials are necessary and there’s no impact on database performance.

“To defend against today’s security threats to structured data, DB CyberTech offers database asset discovery, automatic data classification, and continuous monitoring to identify where sensitive data is stored along with which clients and applications process sensitive information,” said Brett Helm, CEO of DB CyberTech. “We then apply machine learning and behavioral analytics to pinpoint rogue activities including insider threats.”

SOURCE: EuropaWire