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Snow Software Research Finds Workers Go Around IT Just So They Can Do Their Job

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Both the youngest and the most influential employees are emotionally
invested in work applications, highlighting why organizations must
change their approach to technology

STOCKHOLM & AUSTIN, Texas–(BUSINESS WIRE)–lt;a href=”https://twitter.com/hashtag/ITAssetManagement?src=hash” target=”_blank”gt;#ITAssetManagementlt;/agt;–The majority of global workers are going rogue with work devices,
software and applications despite being aware of the potential business
risks involved, according to new research released by Snow
Software
, the global leader in technology intelligence solutions.
The study, which polled 3,000 professionals in the United States, Europe
and Asia Pacific, finds stark
contrasts between the mindset of today’s workers and the priorities of
IT leaders.
This rift was especially notable in younger employees,
who represent the future of the workforce. In fact, millennials
are almost twice as likely to go behind IT’s back
compared to older
workers, with 81% admitting they have used or accessed something on
their work device without permission versus just 51% of baby boomers who
have done the same.

“There is a tectonic shift happening in the enterprise, driven by a
rapid move to the cloud and nearly unlimited access to technology,” said
Vishal Rao, President & Chief Executive Officer at Snow. “Part of what
we see in this data is a philosophical evolution in what the future of
work looks like. The CIO and their teams are now strategic business
partners with the power to fundamentally change their organizations.
That new role requires empowering a new generation of employees and
enabling the business to be as effective as possible while also
balancing financial, regulatory and compliance risks.”

When it comes to unsanctioned device behavior, many workers are breaking
the rules in an effort to get their job done – 41% of global employees
report using professional software or applications on their work device
without IT’s permission. That makes it the second most common
infraction, behind the 46% who access personal documents but ahead of
other popular personal content like apps, music, videos and photos. When
asked about the impact of needing IT’s permission to get software or
applications to do their job, 40% of workers reported that they feel
watched, 32% said that it slowed them down and impacted deadlines, 27%
said it was frustrating and 26% felt it negatively impacted productivity.

As one manager put it, while it wasn’t the case for them, needing IT’s
permission to get work software and applications “would definitely make
me feel all of the above. I would also feel that the business was
micromanaged, that they didn’t really respect or appreciate their
associates and that they need to get up to speed with the direction that
businesses are moving in.”

Additional key findings include:

  • When it came to generational differences in work device behavior, the
    biggest disparity was in software and applications – in the millennial
    age group, 47% reported accessing work apps and 46% admitted to
    accessing personal apps on their work device without permission,
    compared to just 22% and 18% of boomers respectively.
  • Younger workers are exponentially more emotional when they do ask for
    permission to acquire software or applications. Compared to baby
    boomers, millennials are nearly five times more likely to be nervous
    (24% vs 5%) and over four times more likely to feel it is beneath them
    (22% vs 5%).
  • In general, management-level employees (manager, director, vice
    president or executive) were almost twice as likely to use
    unauthorized professional or personal software and applications
    compared to individual contributors (entry-level, associate or
    specialist).
  • Vice presidents and C-level executives led the way in using work apps
    (57%) and personal apps (51%) on their work device without permission.
  • There is a disconnect between workers’ behavior and understanding the
    business risks of unsanctioned and unmanaged technology. For example,
    just 7% of executives said they don’t think it causes any business
    issues, yet 57% have engaged in that exact behavior by downloading
    work applications and software without IT’s permission. And even
    though entry-level employees are the best behaved, with only 25%
    downloading work software or applications without permission, they
    were also most likely to think that doing so doesn’t have any negative
    impact on the business.

These findings further validate the challenges organizations face as
digitally-native employees and business unit leaders – not IT
gatekeepers – increasingly drive the investment and consumption of
software, applications and services. Today’s businesses and institutions
need to understand what is in their technology landscape as well as how
it is being used. But the real opportunity lies in using those insights
to maximize value and drive better outcomes. This evolution was the
driving force behind Snow’s newly expanded mission: to provide complete
insight and manageability across all technology.

“In an era defined by digital transformation, we are focused on helping
the enterprise face some of their biggest challenges,” said Vishal Rao,
President & CEO of Snow. “The market has shifted away from niche point
solutions that each manage a different part of your cloud, software and
hardware. Our focus is on providing a single platform that goes beyond
discovering assets to driving action. From the Fortune 100 to federal
agencies, from Stockholm to San Francisco to Sydney, we are helping the
world’s most impactful organizations gain complete technology
intelligence.”

Underlying Snow’s mission is a foundation of customer-centricity,
highlighted by the recent appointment of Richard Anderson as the
industry’s first Chief Customer Officer
. End-users themselves
recognized the company as a 2019
Gartner Peer Insights Customer’s Choice for Software Asset Management
.
Analysts also named Snow a Leader in the 2019
Gartner Magic Quadrant for Software Asset Management
for the second
year in a row, placing it furthest to the right for completeness of
vision.

About Snow Software
Snow Software is the global leader in
technology intelligence solutions, ensuring the trillions spent on all
forms of technology is optimized to drive maximum value. More than 4,000
organizations around the world rely on Snow’s platform to provide
complete visibility, optimize usage and spend, and minimize regulatory
risk. Headquartered in Stockholm, Snow has more local offices and
regional support centers than any other software asset and cloud
management provider, delivering unparalleled results to our customers
and partners. To find out more about Snow Software, visit www.snowsoftware.com.

For the latest information about Snow, please visit:

Web: www.snowsoftware.com
Twitter:
@snowsoftware

Contacts

Julie Neumann
Snow Software
julie.neumann@snowsoftware.com
+1
615 498 9650

Cannabis

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 GreeneryMap.com 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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