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Strain Merchant is built for the legal marijuana industry to collect meaningful data

(TECH NEWS) Their goal is to collect and disseminate data to benefit consumers, producers, and legislative decision makers.

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strain merchant

The growing, green cannabusiness

Whether you love it or hate it, smoke it for pain relief or for pleasure, or turn your nose up at the stuff, marijuana is poised to become as common and legal, and even more lucrative than candy. Twenty states plus the District of Columbia have decriminalized marijuana, an estimated fourteen more states are on the verge of legalizing it for recreational use, and another two will most likely give the green light (no pun attended) to medical marijuana smokers.

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Raking it in

As the production and sale of the once surreptitiously smoked plant become legal in state after state it has become, unsurprisingly, enormously profitable. The industry is currently valued at almost two billion dollars, and that figure is estimated to grow over 600 percent, reaching $10.2 billion over the next five years. Besides the sale of the plant matter itself, several supportive and spin-off industries will see growth.

Weed-themed smartphone apps alone are estimated to rake in $77 billion by 2017.

It’s been slow goings to get to this point. Strain Merchant, a new startup whose site is currently in beta, believes that a lack of industry-wide data has made molasses of efforts to legalize and grow the cannabis industry. Their goal is to collect and disseminate data to benefit consumers, producers, and legislative decision makers.

What does Strain merchant do?

Strain Merchant seeks to build and “eco-system” that “bridges the information gap in the cannabis industry between consumers, businesses, researchers, and government.” Their hope is to counteract the “misinformation plaguing the cannabis industry’s innovation and legislation growth” by creating data analytics that will also benefit customers, growers, dispenseries, and medical professionals.

Just like any other industry, the cannabis industry will need insight into their customers’ behavior in order to inventory and market effectively and to promote growth. However, on top of the basic insights that any business would look for, the cannabis industry also has to deal with a headache of legal ins-and-outs and confusing laboratory data, all of which have been influenced by the politics, cultural biases, and “stigmas” of bringing a once black-market drug into the light of legal legitimacy. Strain Merchant will serve as a clearinghouse for medical and laboratory research, as well as legal information, and data about marijuana products and consumer insights. They will look at data on the global level, while also digging deep into the highly local specificities of different cities and markets.

All of this will help entrepreneurs, business owners, legislators, and medical professionals to make informed decisions.

Regardless of your personal usage (or lack thereof) of marijuana, it’s becoming a legitimate business, so it follows that startups will crop up to serve this “budding” industry.

#StrainMerchant

Ellen Vessels, a Staff Writer at The American Genius, is respected for their wide range of work, with a focus on generational marketing and business trends. Ellen is also a performance artist when not writing, and has a passion for sustainability, social justice, and the arts.

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  1. Pingback: Strain Merchant is built for the legal marijuana industry to collect meaningful data - The American Genius - Medical Marijuana Cure

  2. Pedro

    September 5, 2016 at 10:54 am

    Blizzard is not hasppy with the Overwatch cheat annd has filed a lawsuit against the German maker, Bossland GMBH,at a federal court in California.

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Scoring productivity: Is this new Microsoft tool creepy or helpful?

(TECH NEWS) Microsoft launched a new tool that helps monitor user data, but it’s not a work monitoring tool – it’s trying to judge productivity.

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Black and white data screens monitoring productivity.

Last month, Microsoft launched their new tool, “Productivity Score”. According to Microsoft, this new tool will help organizations understand how well they are functioning, how technology affects their productivity, and how they can get the most out of their Microsoft 365 purchase.

But to do all of this, the tool will keep track of how each employee is using Microsoft products. For instance, the tool will monitor how often video or screen sharing is enabled during meetings by employees.

It will keep a metric of how employees are communicating. It will show if employees are sending out emails through Outlook, sending out messages through Teams, or posting on Yammer. It will also keep track of which Microsoft tools are being used more and on which platforms.

So, Microsoft’s new tool is a scary work surveillance tool, right? According to Microsoft, it isn’t. In a blog post, Microsoft 365’s corporate Vice President Jared Spataro said, “Productivity Score is not a work monitoring tool. Productivity Score is about discovering new ways of working, providing your people with great collaboration, and technology experiences.”

Spataro says the tool “focuses on actionable insights” so people and teams can use Office 365 tools to be more productive, collaborative, and help make work improvements. And, while this all sounds good, privacy advocates aren’t too thrilled about this.

Microsoft says it is “committed to privacy as a fundamental element of Productivity Score.” To maintain privacy and trust, the tool does aggregate user data over a 28-day period. And, there are controls to anonymize user information, or completely remove it. However, by default individual-level monitoring is always on, and only admins can make any of these changes. Employees can’t do anything about securing their privacy.

So, user data privacy is still a large issue on the table, but privacy advocates can breathe a sigh of relief. Yesterday, they got a response from Microsoft they can smile about. In another blog post, Spataro responded to the controversy. “No one in the organization will be able to use Productivity Score to access data about how an individual user is using apps and services in Microsoft 365,” he said.

Although Productivity Score will still aggregate data over a 28-day period, it will not do so from an individual employee level. It will do it from an organizational one as a whole. Also, the company is making it clearer that the tool is a “measure of organizational adoption of technology—and not individual user behavior.”

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4 ways startups prove their investment in upcoming technology trends

(TECH NEWS) Want to see into the future? Just take a look at what technology the tech field is exploring and investing in today — that’s the stuff that will make up the world of tomorrow.

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Woman testing VR technology

Big companies scout like for small ones that have proven ideas and prototypes, rather than take the initial risk on themselves. So startups have to stay ahead of technology by their very nature, in order to be stand-out candidates when selling their ideas to investors.

Innovation Leader, in partnership with KPMG LLP, recently conducted a study that sheds light onto the bleeding edge of tech: The technologies that the biggest companies are most interested in building right now.

The study asked its respondents to group 16 technologies into four categorical buckets, which Innovation Leader CEO Scott Kirsner refers to as “commitment level.”

The highest commitment level, “in-market or accelerating investment,” basically means that technology is already mainstream. For optimum tech-clairvoyance, keep your eyes on the technologies which land in the middle of the ranking.

“Investing or piloting” represents the second-highest commitment level – that means they have offerings that are approaching market-readiness.

The standout in this category is Advanced Analytics. That’s a pretty vague title, but it generally refers to the automated interpretation and prediction on data sets, and has overlap with Machine learning.

Wearables, on the other hand, are self explanatory. From smart watches to location trackers for children, these devices often pick up on input from the body, such heart rate.

The “Internet of Things” is finding new and improved ways to embed sensor and network capabilities into objects within the home, the workplace, and the world at large. (Hopefully that doesn’t mean anyone’s out there trying to reinvent Juicero, though.)

Collaboration tools and cloud computing also land on this list. That’s no shock, given the continuous pandemic.

The next tier is “learning and exploring”— that represents lower commitment, but a high level of curiosity. These technologies will take a longer time to become common, but only because they have an abundance of unexplored potential.

Blockchain was the highest ranked under this category. Not surprising, considering it’s the OG of making people go “wait, what?”

Augmented & virtual reality has been hyped up particularly hard recently and is in high demand (again, due to the pandemic forcing us to seek new ways to interact without human contact.)

And notably, AI & machine learning appears on rankings for both second and third commitment levels, indicating it’s possibly in transition between these categories.

The lowest level is “not exploring or investing,” which represents little to no interest.

Quantum computing is the standout selection for this category of technology. But there’s reason to believe that it, too, is just waiting for the right breakthroughs to happen.

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Tech News

Internet of Things and deep learning: How your devices are getting smarter

(TECH NEWS) The latest neural network from Massachusetts Institute of Technology shows a great bound forward for deep learning and the “Internet of Things.”

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Woman using smart phone to control other devices in home, connected to deep learning networks

The deep learning that modifies your social media and gives you Google search results is coming to your thermostat.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a deep learning system of neural networks that can be used in the “Internet of Things” (IoT). Named MCUNet, the system designs small neural networks that allow for previously unseen speed and accuracy for deep learning on IoT devices. Benefits of the system include energy savings and improved data security for devices.

Created in the early 1980s, the IoT is essentially a large group of everyday household objects that have become increasingly connected through the internet. They include smart fridges, wearable heart monitors, thermostats, and other “smart” devices. These gadgets run on microcontrollers, or computer chips with no processing system, that have very little processing power and memory. This has traditionally made it hard for deep learning to occur on IoT devices.

“How do we deploy neural nets directly on these tiny devices? It’s a new research area that’s getting very hot,” said Song Han, Assistant Professor of Computer Science at MIT who is a part of the project, “Companies like Google and ARM are all working in this direction.”

In order to achieve deep learning for IoT connected machines, Han’s group designed two specific components. The first is TinyEngine, an inference engine that directs resource management similar to an operating system would. The other is Tiny NAS, a neural architecture search algorithm. For those not well-versed in such technical terms, think of these things like a mini Windows 10 and machine learning for that smart fridge you own.

The results of these new components are promising. According to Han, MCUNet could become the new industry standard, stating that “It has huge potential.” He envisions the system has one that could help smartwatches not just monitor heartbeat and blood pressure but help analyze and explain to users what that means. It could also lead to making IoT devices far more secure than they are currently.

“A key advantage is preserving privacy,” says Han. “You don’t need to transmit the data to the cloud.”

It will still be a while until we see smart devices with deep learning capabilities, but it is all but inevitable at this point—the future we’ve all heard about is definitely on the horizon.

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