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Temenos Reconfirmed as a Top Global Player and a Global Power Seller in 2019 Deals Report by Tier 1 Industry Analyst Firm



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  • A ‘Top Global Player’ for seventh consecutive year, signing 172
    deals with new and existing customers
  • A ‘Global Power Seller’ for new business deals for 13th consecutive
    year, with 60 new deals in 2018
  • The Forrester findings1 reveal that while banks previously saw
    digital banking as limited to digital channels, they now show
    increasing interest in end-to-end digital banking platforms.

GENEVA–(BUSINESS WIRE)–For the seventh consecutive year, Temenos (SIX : TEMN), the banking
software company
, has been named ‘Top Global Player’ for combined
deals in research firm Forrester’s prestigious Global
Banking Platform Deals Survey 2019
, a key benchmark for measuring
new and extended banking system business. In the same report, Temenos
has also reconfirmed its position as a ‘Global Power Seller’, with
Forrester noting that “Temenos earned its status as a Global Power
Seller for the 13th consecutive year”.

The Forrester findings2 reveal that while banks previously
saw digital banking as limited to digital channels, they now show
increasing interest in end-to-end digital banking platforms. The
research firm also highlights that there is lot of market hype around
‘new school’ players, they “may not be so transparent about their
capabilities or their market impact.” Forrester cautions buyers that,
established banking platform vendors tend to be more transparent than
core banking fintechs when it comes to market success and solution

Jost Hoppermann, Vice President and Principal Analyst, Forrester,
in the report: “The need – and the time – for discussions is
long gone: the transformation imperative in banking needs imminent
execution.[…] Very few banks and technology leaders disagree that banks
need complete digital transformation – and that they need to finalize it
by 2025 or sooner to avoid dying an analog-business death. Facing
less-than-comfortable time constraints and shrinking, in some cases
gruesome, margins, banks’ technology teams must look carefully for
off-the-shelf capabilities that help them to accelerate and shorten
their digital journey.”

Max Chuard, Chief Executive Officer, Temenos, said: We are proud
to be the sole vendor at the top off the combined deals pyramid and
recognized as a Global Power Seller for new named deals in Forrester’s
Global Banking Platform Deals Survey 2019. Our leadership is
accelerating; we launched our cloud-native and cloud-agnostic products
in 2019, we have the largest number of customers and the greatest scale
and reach across the globe and we are leaving the competition behind,
whether old or ‘new’ legacy vendors. We believe this is a testament to
the trust our customers place in our ability to deliver on their digital
transformation vision and plans. Supported by over 6,000 skilled
consultants deploying our software, we take a bank live every single

Forrester’s Global Banking Platform Deals Survey 2019 is an independent
survey conducted annually by Forrester. It assesses both the volume and
the geographical spread of banking platform sales to new and existing
customers for 2018 deals. The research is published to guide
decision-makers at financial institutions around the world in
effectively evaluating the plethora of banking software solutions

Temenos has also been named a leader in The Forrester Wave™: Global
Digital Banking Platforms, Q3 2018. Temenos launched at the start of the
year, Temenos
– a breakthrough digital front office product – and Temenos
T24 Transact
, the next generation in core banking. These new
products further demonstrate a commitment to constant innovation,
leveraging 25 years of functionality from 3,000 banks in more than 150
countries with the most advanced cloud-native, cloud-agnostic, API-first
technology and design-led thinking.

– Ends –

About Temenos
Temenos AG (SIX: TEMN), headquartered in
Geneva, is the world’s leader in banking software, partnering with banks
and other financial institutions to transform their businesses and stay
ahead of a changing marketplace. Over 3,000 firms across the globe,
including 41 of the top 50 banks, rely on Temenos to process both the
daily transactions and client interactions of more than 500 million
banking customers. Temenos offers cloud-native, cloud-agnostic front
office and core banking, payments, fund management and wealth management
software products enabling banks to deliver consistent, frictionless
customer journeys and gain operational excellence. Temenos customers are
proven to be more profitable than their peers: over a seven-year period,
they enjoyed on average a 31% higher return on assets, a 36% higher
return on equity and an 8.6 percentage point lower cost/income ratio
than banks running legacy applications. For more information please

1 Don’t Select Banking Software Without Understanding The
State Of The Banking Platform Market, May 2019, Forrester
Don’t Select Banking Software Without Understanding The State Of The
Banking Platform Market, May 2019, Forrester


Media Contacts
Jessica Wolfe
Temenos Global
Public Relations
Tel: +1 610 232 2793
Email :

Kellie & Andrew Adie

Newgate Communications on behalf of
Tel: +44 20 7680 6550


Strainprint™ Technologies Welcomes Organic Medical Cannabis Producer to Growing List of Subscribers



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Strainprint™ Technologies Ltd, the leader in cannabis data and analytics is pleased to expand their nation-wide coverage with the addition of Stewart Farms.

Stewart Farms is a late-stage applicant headquartered in Alberta that is building a 100,000 sq. ft. vertical aquaponics farm in Saint StephensNew Brunswick. They will be utilizing automation, vertical farming, and land-based aquaculture to produce medical grade organic cannabis for both recreational and medical markets in Canada. All of their products will be free of herbicides, pesticides and synthetic nutrients. At full capacity, they will reach more than 10,000 kgs per year of organically farmed cannabis and more than 200,000 kgs of organic tilapia.

Stewart Farms’ long term vision is to deliver tools and products to support  future customers and patients during their health and wellness journeys. “Through our partnership with Strainprint we gain direct access to their incomparable data and analytics tools. This will aid us in educating a wider audience on the medical benefits and best practices of cannabis-based medicine,” said Tanner Stewart, Co-founder & CEO of Stewart Farms. “We know our customers are looking to consume more than dried cannabis. We know Canadians of all legal ages are trying to sort through their personal engagement with cannabis as a medicine. What we want to know, on an ongoing basis, is what is and is not working for people. Strainprint’s patient-led data services will give us the insight needed to create custom products and further understand the benefits of our existing products. Finally, our goal is to partner with companies and teams that truly have people’s best interest at heart. Caring about a patient’s success is what makes up the core of the Strainprint team. We couldn’t be happier to move forward with them at our side.”

Stewart Farms will access the Strainprint Analytics web platform, the most sophisticated cannabis analytics platform available to improve product development. Strainprint Analytics is built on top of the largest and most granular scientific data set of its kind in the world, with more than 1.3 million anonymized, patient reported medical cannabis outcomes and more than 65 million data points on strain efficacy.

“We’re thrilled to provide our real-time, crowd sourced data to an environmentally conscious company that uses innovative, cutting edge farming technology to produce top-tier medical cannabis,” said Strainprint CEO, Andrew Muroff. “Our organizations are equally committed to improving lives using cannabis therapy, and our shared core motivation is to provide guidance and support to help cannabis patients achieve their health goals.”


SOURCE Strainprint Technologies Ltd.

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Field Trip Ventures Inc. Retains KCSA Strategic Communications as Public Relations Counsel



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Greenery Map, the world’s first and only cannabis search engine to allow users to search for cannabis products based on their desired mood, medicinal use, and method of consumption, is now offering users – both businesses and consumers – the opportunity to register and connect to the app in an entirely mobile way. Previously, businesses were required to access from a desktop in order to manage accounts and connect to the inventory API system, but that road block has been removed, allowing for an entirely mobile experience through the Greenery Map app.

App users turn to Greenery Map to help them decide on the strain of Cannabis and product that is right for them depending on their desired mood or medicinal effect. Following the matching, consumers are given a detailed history and description of the strain so that they can make educated purchases, cutting down on time that budtenders need to spend with patrons and speeding up the purchase process. Consumers can then see all of the ways to purchase said product, including the nearby dispensaries that have it in stock, online options, and even delivery options through the app. Greenery Map fully integrates with a dispensary’s inventory API system to update in real-time and give consumers real-time information on dispensary stock for the item they are looking for. The Greenery Map system also provides cannabis businesses in both the B2B and B2C sectors a private database to share and sell information and products. For Cannabis businesses, Greenery Map also offers the opportunity to open bank and merchant accounts through their partnership with PayHouse Consulting Group.


SOURCE Greenery Map

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WeBank, IBM and Other Organizations Jointly Held the 1st International Workshop on Federated Machine Learning in conjunction with IJCAI 2019



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Once a concept, AI is now ushering in a key stage of application. What’s the solution to the data silos among businesses? Given the enhanced regulation on data at home and abroad, what’s the solution to data privacy and security concerns? What’s the status quo of Federated Machine Learning and how to establish an ecosystem for FML in the future?

WeBank, IBM and other organizations jointly held the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19) in conjunction with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) on Aug. 12, 2019, to further discussion on these issues.

President of IJCAI, Chair of FML Steering Committee, Chief AI Officer of WeBank Professor Qiang Yang delivered opening remarks at the workshop. Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google presented keynote addresses. In the panel discussion, top scholars from WeBank, Bar-Ilan University, IBM, Squirrel AI, Google, Huawei, Clustar, Sinovation Ventures and many other renowned enterprises and universities shared and discussed their findings and experience in FML as an emerging AI technology.

This workshop received 40 papers, of which 12 were presented during the workshop, 19 presented via poster. Awards include Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award, Best Presentation Award. Selected high quality papers will be invited for publication in a special issue in the IEEE Intelligent Systems journal. All these attracted numerous scholars to engage in discussions and join efforts for building the FML ecosystem.

Experts from IBM and Google Share Groundbreaking Findings with a Focus on the Theory and Application of FML

Privacy and security are becoming a key concern in our digital age. On 25th May last year, the implementation of General Data Protection Regulation (GDPR) by the EU, the toughest Act on data privacy protection, stressed that user data collection must be open and transparent. A series of laws and regulations from China and overseas also pose new challenges to the traditional way of handling data and model for cooperation. Seeking ways for AI to adapt to this new reality became top priority, a demand that led to this workshop on FML.

A wealth of solutions and breakthroughs were shared by Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google in their speech on FML.

Besides how FML can help tackle challenges in the business world, Dr. Shahrokh Daijavad also shared the concept of Fusion AI, which means to train models on widely distributed data sets, but fuse them to produce one equivalent to what centralized training would yield. “Unlike traditional machine learning, in Fusion AI, model parameters are shared and data is not transferred, which makes Fusion AI model better than models that moving data centrally.” Given the widely distributed data, the development of Fusion AI and FML became ever important and imminent.

“FML enables machine learning engineers and data scientists to work productively with decentralized data with privacy by default,” said Dr. Jakub Konečný from Google. He also shared with us how FML works and its use cases at Google. In the case of Gboard, as on-device data is privacy sensitive or large or is more relevant than server-side proxy data, and labels can be inferred naturally via user interaction, the application of Federated RNN compared to prior n-gram model can increase the accuracy of next-word prediction by 24%, and the click rate of prediction strip by 10%.

Major Figure Panelists Discuss the Way Ahead for FML

The moderator of the panel discussion, AI Principal Scientist of WeBank Dr. Lixin Fan joined panelists including Professor Benny Pinkas from Bar-Ilan University, Dr. Shahrokh Daijavad of IBM Academy of Technology, Chief Architect of Squirrel AI Dr. Richard Tong, Research Scientist of Google Dr. Jakub Konečný, Dr. Baofeng Zhang from CTO Office of CBG Software in Huawei, Executive VP of Clustar Dr. Junxue Zhang, VP of AI Institute in Sinovation Ventures Dr. Ji Feng and other experts in a host of in-depth exchanges with attendees, to shed light on the way ahead for FML.

Experts shared thoughts in the panel discussion on questions including but not limited to: How to meet the security and compliance requirements? Is there a way to extend the value of data while observing user privacy and data security? Given the classic trade-off between data regulation and development of AI, how to achieve the long-term goal of establishing a stable and win-win business ecosystem?

List of Award-Winners

Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award and Best Presentation Award selected by all attendees were announced at the closing of the workshop.

Best Theory Paper Award: 
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? By Huadi Zheng, Haibo Hu & Ziyang Han;

Best Application Paper Award: 
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. By Yiqiang ChenJindong WangChaohui YuWen Gao & Xin Qin;

Best Student Paper Award: 
Quantifying the Performance of Federated Transfer Learning. By Qinghe JingWeiyan Wang, Junxue Zhang, Han Tian & Kai Chen;

Best Presentation Award: 
Federated Generative Privacy. By Aleksei Triastcyn and Boi Faltings.

President of IJCAI, Chief AI Officer of WeBank Professor Qiang Yang, Chief Architect of Squirrel AI Dr. Richard TongandVP of AI Institute in Sinovation Ventures Dr. Ji Feng presented the awards.

“The mission of this International Federated Machine Learning Workshop is to facilitate further understanding in the academia, business community as well as legal and regulatory institutions by promoting the establishment of FML ecosystem in the hope that more businesses will join and build a platform for students aspired to work in FML to find research teams that suit them,” said Professor Qiang Yang.

Held Aug. 10-16, 2019 in Macao, China, IJCAI-19 is one of the leading International Academic Conference on AI, attracting over 3000 AI research personnel and experts. The 1st International Workshop on Federated Machine Learning (FML’19) was a highlight for experts joining this event. Visionaries in the academia and industrial sector expressed the willingness to be part of the effort for academic research, application of FML in the future, and the development and boom of AI ecosystem.

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