Tools & Platforms
AI and Innovation at Genetica – Cannabis & Tech Today

Sarah Kabakoff is an award-winning forward thinker who deployed emerging technologies working at Toast until going to work in cannabis. As Director of Enterprise Solutions Engineering at Toast, she identified gaps in restaurant technology. With her background in Point of Sales (POS) and her eye for innovation, it made sense to join an e-commerce company like Dutchie.
She joined them in late 2020 before they made their POS acquisitions of LeafLogix and Greenbits. There, she hired from within to build camaraderie and gave everyone a clear path for growth and leadership in an equitable organization. Eventually, she was promoted to VP of Sales and during that first year they captured 10% of the cannabis market in sales, closing hundreds of locations a month. Then she met the team at Genetica and decided to take a leap.
Getting in With Genetica
At Genetica, Kabakoff was brought in as a fractional Chief Revenue Officer, helping build systems and give advice before coming on full-time when her position changed to President and she oversaw product engineering and revenues strategy. She wanted to work on innovative solutions and be able to oversee the product team.
“I need to be the dumbest person in the room for all my people that are working with me, and then we’ll be successful,” Kabakoff insisted.
She liked the idea of a system that could run everything and give alerts on what’s happening in a cannabis business in real-time when that information was needed.
“Historically, businesses have had to go do a bunch of work and have analysts, to pay [them] to build new reports and everything else,” said Kabakoff.
She really dug the AI, which still innovates in the hospitality sector, and is rapidly growing as a global cannabis business. They already power systems in Canada, Europe, and Australia. They have big plans in the works for the United States, too.
AI in Action
Using a Language Learning Model (LLM) is just one of the tools, but they use all kinds.
“LLM is just one flavor of AI. And we do utilize those to help communicate to humans. But LLM’s aren’t good at math,” Kabakoff advised.
They are moving into voice very soon, and currently have AIs that do different things like text-to-sequel and text-to-cipher (a Python language that creates queries and then sequel for more basic things).
“We put a set of tools in front of the AI, and the AI picks up a tool based on the user’s input, and then it takes that tool and goes to get the answer,” she said.
They also build vertically-specific agents. Being able to identify purchasing patterns with the AI, then look at the sales velocity of specific items allowing businesses to create the right bundling or special in order to move an item properly. It ensures they won’t see a drop in revenue which is key to their success.
“You can’t just tell the machine cannabis,” Kabakoff explained. “You have to be able to understand what all the relational terms to ‘cannabis’ are.”
They utilize ontology which helps the machine understand what the data points are and to be able to navigate that.
“It’s like loading the knowledge in your brain to the AI to allow it to understand what it’s looking at and how to navigate,” she said.
Genetica is very good at making the brain of the AI, and being able to load that and use things like Model Context Protocol (MCP) servers to teach it how to do something.
“Here’s what it is. Here’s how you do it. Combine the two, and then use the tools in front of you to take actions,” Kabakoff instructed.
They look at everything surrounding a purchase: the user, the product, things they’re bundling, their history. All the factors. Even the complexity of a type of product to understand what the right mix is that sells better than others or has more repeat customers.
Disruption Versus Displacement
AI will displace some jobs, but mainly for people who don’t engage in it.
“AI is going to be horizontal, like electricity. It’s going to be in everything,” Kabakoff warned.
She believes that the jobs that will be affected are white collar jobs: executive positions, mid-level managers, software engineers and analysis roles. High level positions and executors will retain strategy while mid-level positions will start to be eliminated. “AI does it all. If I have the right framework, I let the agents run overnight and build, come back in the morning and critique it. They do the work.”
“People want to know about their business when they wake up in the morning and they’re on the toilet,” quipped Kabakoff.
Instead of needing analysts, or waiting on someone to provide a specific report, they can ask in natural language for that dashboard to be built and it will be.
Genetica provides the ability to be able to understand the perception about your business in real time via agents monitoring everything—from Yelp, Google and Reddit threads to the deepest recesses of the internet. It results in less billable hours, less components, and real-time analytics which makes for a more seamless, profitable endeavor.
“No more putting in a ticket or trying to find someone to figure it out or build pivot tables,” Kabakoff said. “Now you can just have this do it for you.”
Tools & Platforms
Apple faces lawsuit over alleged use of pirated books for AI training

Two authors have filed a lawsuit against Apple, accusing the company of infringing on their copyright by using their books to train its artificial intelligence model without their consent. The plaintiffs, Grady Hendrix and Jennifer Roberson, claimed that Apple used a dataset of pirated copyrighted books that include their works for AI training. They said in their complaint that Applebot, the company’s scraper, can “reach ‘shadow libraries'” made up of unlicensed copyrighted books, including (on information) their own. The lawsuit is currently seeking class action status, due to the sheer number of books and authors found in shadow libraries.
The main plaintiffs for the lawsuit are Grady Hendrix and Jennifer Roberson, both of whom have multiple books under their names. They said that Apple, one of the biggest companies in the world, did not attempt to pay them for “their contributions to [the] potentially lucrative venture.” Apple has “copied the copyrighted works” of the plaintiffs “to train AI models whose outputs compete with and dilute the market for those very works — works without which Apple Intelligence would have far less commercial value,” they wrote in their filing. “This conduct has deprived Plaintiffs and the Class of control over their work, undermined the economic value of their labor, and positioned Apple to achieve massive commercial success through unlawful means.”
This is but one of the many lawsuits filed against companies developing generative AI technologies. OpenAI is facing a few, including lawsuits from The New York Times and the oldest nonprofit newsroom in the US. Notably, Anthropic, the AI company behind the Claude chatbot, recently agreed to pay $1.5 billion to settle a class action piracy complaint also brought by authors. Similar to this case, the writers also accused the company of taking pirated books from online libraries to train its AI technology. The 500,000 authors involved in the case will reportedly get $3,000 per work.
Tools & Platforms
AI-Enhanced Pedagogy Provost Endorsement open for enrollment until Sept. 30

UNIVERSITY PARK, Pa. — Teaching and Learning with Technology at Penn State is enrolling faculty and staff until Sept. 30 in the Provost Endorsement Program: AI-Enhanced Pedagogy, which will be held during the fall 2025 semester. Participants will explore and integrate generative AI technologies into their teaching practices.
To complete the endorsement program, participants must attend seven internal Penn State events related to generative AI in instruction during the fall 2025 semester. Events will vary between in person and online options. Events will be offered by experts from Teaching and Learning with Technology, Commonwealth Campus instructional designers, the University Libraries, and the Schreyer Institute for Teaching Excellence.
Additionally, participants will use Canvas to submit a revised assignment, an insights post, and a philosophy video to receive individualized feedback from the endorsement program leads.
The goals of this endorsement program are to support the discovery of generative AI teaching and learning opportunities as a University-wide community and to support the tailoring of GenAI uses to enhance student skills development.
By completing this endorsement program, participants will:
- Identify teaching and/or learning opportunities for equity, ethical practices or disciplinary skills afforded by generative AI technologies.
- Explore and use at least three generative AI tools.
- Review and revise a course or teaching approach with generative AI to support student success.
- Create a video of an instructional philosophy with generative AI that could be given to students.
Faculty and staff can find more information and enroll on the AI-Enhanced Pedagogy webpage.
Tools & Platforms
New AI Partnerships Could Be a Game Changer for DXC Technology (DXC)

- DXC Technology recently announced partnerships with startups Acumino, CAMB.AI, and GreenMatterAI to advance AI solutions in the automotive and manufacturing industries, focusing on smart factory robotics, real-time speech translation, and synthetic data projects.
- This collaboration, made as part of the STARTUP AUTOBAHN initiative, highlights DXC’s commitment to transforming emerging technology into practical industry impact by accelerating AI adoption.
- We’ll examine how these new AI partnerships could reshape DXC Technology’s investment narrative and long-term prospects in digital transformation.
Outshine the giants: these 26 early-stage AI stocks could fund your retirement.
DXC Technology Investment Narrative Recap
To be a shareholder in DXC Technology today, you need to believe that the company’s efforts in digital transformation and AI can counter persistent revenue declines and revive organic growth. While the new partnerships with Acumino, CAMB.AI, and GreenMatterAI showcase momentum in AI, the immediate effect on stabilizing short-term revenues or addressing the ongoing decline in the GIS segment is likely to be modest, given the inherent scale and timing of these projects.
Of recent announcements, DXC’s deal to create the DXC Agentic Security Operations Center with 7AI stands out as especially relevant alongside the new automotive and manufacturing AI partnerships. This reflects a deepening focus on expanding digital offerings through AI-driven solutions, which underpins the most important catalyst for the stock: improved client demand and bookings growth from digital modernization, even as near-term performance remains pressured.
However, investors should not overlook that, despite these innovation efforts, persistent challenges in revenue and margin stabilization continue to weigh on the company’s outlook, especially if…
Read the full narrative on DXC Technology (it’s free!)
DXC Technology’s outlook projects $12.1 billion in revenue and $208.6 million in earnings by 2028. This implies a 1.7% annual revenue decline and a $170.4 million decrease in earnings from the current $379.0 million.
Uncover how DXC Technology’s forecasts yield a $15.12 fair value, in line with its current price.
Exploring Other Perspectives
Six Simply Wall St Community members estimate DXC’s fair value between US$8.06 and US$261.89, indicating significant differences in growth assumptions. Balance these viewpoints with persistent risks to revenue and backlog conversion that could impact near-term earnings and investor sentiment.
Explore 6 other fair value estimates on DXC Technology – why the stock might be worth 46% less than the current price!
Build Your Own DXC Technology Narrative
Disagree with existing narratives? Create your own in under 3 minutes – extraordinary investment returns rarely come from following the herd.
Interested In Other Possibilities?
Opportunities like this don’t last. These are today’s most promising picks. Check them out now:
This article by Simply Wall St is general in nature. We provide commentary based on historical data
and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your
financial situation. We aim to bring you long-term focused analysis driven by fundamental data.
Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material.
Simply Wall St has no position in any stocks mentioned.
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