Tag: AI strategy

  • 6 AI Do’s and Don’t’s Including ways you may be jeopardizing your workplace data with your AI use (and how to avoid)

    6 AI Do’s and Don’t’s Including ways you may be jeopardizing your workplace data with your AI use (and how to avoid)

    AI or Artificial Intelligence is becoming more and more common place in our daily lives, including in our places of work. You may even be using it daily without realizing it, most search engines for example have an AI response to queries baked in at the top of the page and if that’s the farthest you look then all of your searches are currently being powered by AI.

    Other tools like weather apps, navigation and even the spam filter in your inbox is using AI to train and collect data that is then given back to you as answers to your questions or provide solutions you are looking for. Drive a Tesla? All of your driving data is collected and used to train their autonomous car algorithms.

    Which brings us to the topic of today’s article, AI in general is powered by give and take. The models collect our data and turn that data into answers, it’s a common misconception that AI is producing the answers all by itself. Machine learning operates on a rule of 10, basically for every query you need 10 ways to respond, and those responses are collected by unfathomable amounts of data fed into it. Think of the breadth of knowledge an AI program like ChatGPT seems to have and you can begin to see that it would take a lot of data for it to provide to answers to millions of different questions it’s asked each day.

    So that data comes from you, and me, and everyone who’s ever interacted on the internet in a meaningful way. It’s not necessarily a bad thing, after all humanity tends to accomplish its greatest achievements when we all work in unison towards a goal. Although the way that the data is collected and how to approach things like copyright are still being determined.

    So, with all that said you might be wondering, what’s the problem? What should I be worried about when using AI in my workplace? As a technology company, we believe in using the tools available to streamline and strengthen our productivity, but we have determined that companies should be aware of these three things when using a burgeoning technology like AI in their workplace:

    1. Data Risks: As we hinted at above, AI systems tend to syphon as much information as they can to strengthen their machine learning algorithms. This includes potentially sensitive data. Any AI strategy should include how to protect and segment data you don’t want leaked to the outside world.
    2. Errors and Reliability: There are risks to trusting AI completely when looking for answers, AI data sets are fed by a wide range of sources and not all of them are trustworthy. You should always vet any answers you receive, especially if the question you’re asking is an important one.
    3. Bias, Discrimination and Transparency: Most of the AI tools currently on the market are being created by private companies and the processes used are hidden from outside view, so we should keep in mind that it’s possible the answers we’re receiving have been manipulated to reflect a certain outcome. Again, always vet the answers you receive from AI.

    Now that we’ve touched on the things to look out for, what are three things that you can safely use AI for in your workplace?

    1. Use a local AI model: Most people are not aware you can actually have a local in-house AI model, these may be more limited in scope but will not present the security risk of public facing AI and can be built on your own data.
    2. Automating repetitive tasks: Certain tasks won’t carry any risk of data exposure, such as scheduling or creating reports without PII (Personal Identifying Information).
    3. Use it to interact with customers: One of the best use cases of AI currently for businesses is automated chatbots, chatbots can be available 24 hours a day and field simple questions and answers which free up your staff for other activities.

    If you’re looking for the most practical and safest way to begin using AI in your business, Valley Techlogic can help. We are experienced in creating customized technology solutions for our clients and can advise on the way to implement an AI plan that doesn’t compromise on cybersecurity best practices. Reach out today for a consultation.

    Looking for more to read? We suggest these other articles from our site.

    This article was powered by Valley Techlogic, leading provider of trouble free IT services for businesses in California including Merced, Fresno, Stockton & More. You can find more information at https://www.valleytechlogic.com/ or on Facebook at https://www.facebook.com/valleytechlogic/ . Follow us on X at https://x.com/valleytechlogic and LinkedIn at https://www.linkedin.com/company/valley-techlogic-inc/.

  • If AI implementation is important to your business’s 2025 goals, you will want to watch the AI chipset market closely

    If AI implementation is important to your business’s 2025 goals, you will want to watch the AI chipset market closely

    With Project Strawberry (the newest iteration of ChatGPT which is touted to boost it’s reasoning capabilities amongst other new features) on the horizon and more and more businesses taking advantage of AI tools such as Microsoft Co-Pilot and Google Gemini, the AI train doesn’t look like it will be slowing down anytime soon.

    So, if AI is going to be a priority for your businesses 2025 are you planning on how can you make sure you have devices that can fully take advantage of what AI is capable of? AI workloads can be strenuous on the average machine (see our chart on the minimum specifications we recommend below).

    Why is AI so hardware intensive? AI relies on machine learning to operate, if your computer has to slog through the requests you’re making of it (for example, making presentations, automating tasks and performing searches on your behalf) then that’s going to hinder your ability to use AI to it’s full potential. That may lead to you and your users becoming frustrated and resorting to just returning to prior methods of performing these tasks and stifling the ability to use this emerging innovation in technology.

    Failing to adapt to emerging technologies can be a death knell to many businesses (anyone remember Blockbuster?).

    No one knows more how important keeping up with emerging technologies is than chip makers like Intel, Nvidia and AMD who all have chips set to release next year that will reportedly take full advantage of advancements in AI.

    Nvidia so far has led in this race, with their chips utilizing its own programming language, CUDA (which stands for Compute Unified Device Architecture), which has become standard amongst AI developers. This means they’re dominating this market so far, especially in the data center space. Having direct access to this language from an architecture perspective means that chips made by Nvidia can accelerate processes for AI purposes (thus completing AI tasks more efficiently). Their innovations in the AI space and technology as a whole have led to Nvidia representing 11.7% of the total US GDP.

    AMD hopes to compete with Nvidia and reclaim some of their market share with their new chips, set to be released in early 2025 which will feature their own programing language called ROCm. It’s being said making the switch from CUDA to ROCm will be a painless process and offer more competition in the market (which will only improve things from a cost perspective).

    For example, the current cost of a processor intended for a supercomputer with AMDs new chip set is $14,813 per chip, drastically outside the range of most customers’ comfortable price point for a new device. As competitions and advancements become more common place, we may be getting closer to an age where super computers are not just found in scientific and government settings and there’s no telling how that will change the average workplace in the future.

    There’s also the hardware portion of chip making to consider especially amongst earlier concerns of semiconductors maxing out their capacity for growth and shortages that continued past the height of the pandemic. TSMC also reached a new market share height of over a trillion dollars this week putting fears of that rest for the moment.

    If taking advantage of AI or replacing aging hardware is on your 2025 to-do list, Valley Techlogic can help. We offer tailored advice and procurement assistance as an included feature in our support plans for businesses located in California. Reach out today for more information.

    Looking for more to read? We suggest these other articles from our site.

    This article was powered by Valley Techlogic, leading provider of trouble free IT services for businesses in California including Merced, Fresno, Stockton & More. You can find more information at https://www.valleytechlogic.com/ or on Facebook at https://www.facebook.com/valleytechlogic/ . Follow us on Twitter at https://x.com/valleytechlogic and LinkedIn at https://www.linkedin.com/company/valley-techlogic-inc/.