Video Post: AI is not new

Transcript:So here’s the thing about AI it’s not in any way new most businesses have been using it behind the scenes for years to solve real world business problems things like fraud detection recommendation engine when you’re shopping and it’s suggesting similar products you might be interested in um optimizing Logistics all all different kinds of businesses have been optimized with AI it used to be called ml when I joined Google in 2018 there was a case study from 2016 of a Japanese cucumber farmer who built an AI model on tensorflow ran it on Raspberry pies to optimize his cucumber Farm his mom used to spend 8 hours a day sorting cucumbers and this guy was not a tech background but he developed a solution that would sort the Cucumbers had a motor and would and would sort them automatically saving his mom 8 hours every however often she sorted cucumbers I think when the llms came out there was a lot of realization in the consumer space that AI can achieve business goals but businesses aren’t really going to get any money from having a photo of a cat on the moon or something else like Chuck Norris fighting Dolphins um which is funny but not very profitable I think the good thing about the llm craze is that it’s brought attention from businesses to other ways that they can optimize to save money from Ai and if in 2016 a Japanese cucumber farmer can save 8 hours per day so an entire day of labor for one person with some AI there are definitely ways that most businesses can benefit from this it’s just a matter of uncovering them and then applying these AI solutions to them we’ve been working with a number of customers on things that will have incremental maybe double digit improvements but across the organization lots of these small projects will have a outsize impact across the organization and across the industry love to chat to people who have an issue they think would be solvable and see if we can help solve it thanks [Music]

Getting Started with GCP is easy…..but not so fast.

Getting Started with GCP is easy…..but not so fast. Transcript Google makes it easy to get started with Google Cloud but at the expense of some of the controls that large Enterprises need to have when they’re running workloads on any public Cloud now Google do this so that developers can very easily get started if they made it really hard to start using Google Cloud people would use one of the other clouds that was a little bit easier to use however when you start putting production workloads on there that might have customers information in them you need to revisit that security and put some controls around it setting this up the right way is not hard Google even released the code to build all the infrastructure and put it on GitHub you can easily find it if you Google Fast fabric the first result will be GitHub result for Google Cloud’s Professional Services team where they’ve put that code that you can run and enforce all of their best practices for you now if you need help running this and it can be a little bit complex or if you want any advice on how to get started with it hit me up I’m always happy to talk about this kind of stuff thanks

🤯 AI Just Got a HUGE Upgrade (And You Need to Know Why)

🤯 AI Just Got a HUGE Upgrade (And You Need to Know Why) Transcript for all those AI nerds there’s been some pretty interesting announcements from Google number one anthro pics Claude 3 is now generally available on vertex AI Gemini Pro 1.5 and Gemini 1.5 flash are also generally available we’re over 700,000 models on hugging phe so you can use any of the models on hugging face with vertex AI for those not familiar hugging face is kind of like a repository like git lab but for AI models so people taking off the shelf models or creating their own um modifying them and then uploading them to hug phase the next thing that’s super interesting is context cing so you can use context cing with Gemini Pro 1.5 and Gemini 1.5 flash models and this lets you past some of the tokens that you have uploaded so if you have uploaded um video and you want to ask multiple questions about it you don’t need to upload that video each time which is obviously going to be charged you can upload it once and ask multiple questions same thing if you have chat Bots with very long instructions um or you’ve got a large amount of documents and you’re asking different queries around document um the final use case I think was interesting is if you have a code repository and you’re looking to fix a lot of bugs upload it once C that context and then can do a lot of careers against it reducing both the cost and the latency to get those insights um if you need help with any of this feel free to reach out always happy to have a CH thank you

💸 Is Your Google Cloud Bill Out of Control? 💸

💸 Is Your Google Cloud Bill Out of Control? 💸 Transcript so you started using cloud and your costs keep growing and growing every month it seems to be more and more money than you’re spending on cloud and you’ve realised it’s time to take a look and cut those costs down to something that’s more sensible if you’re using Google Cloud they’ve got the fin ops Hub and the billing manager where you can go and see where these costs are broken down they’re often broken down by project so you can kind of see where some of the hot spots are and to reduce that the next thing you should start looking at is Devon test workloads and people pay me to come in and consult and say hey do you really need your development workloads running 24/7 when your developers are only working 9 to 5 it’s pretty logical get that turned off when it’s not in use even better get those running on spot instances these are substantially cheaper but when Google have low capacity they will take them away from you that will kill the developer workflow but it will ensure that your developers are writing code that can tolerate failures which is key to running anything on cloud the next thing you want to do is you want to enhance the visibility you’re getting into where you’re spending money now this is done with labels so every project or every resource that you have running should have a label on it with an owner and that owner should get an invoice not an invoice but a report at the end of each month showing how much money they’ve spent that will Empower your team to understand that they might be spending money that they don’t know about and have a look and see if they can reduce that by themselves this is really simple with Google creating labels putting them on everything and then exporting all the billing data into B crew so you can slice it dice it run reports and figure out where you need to focus your cost saving another few things that often get missed is Right sizing computer machines so being a computer engine you can individually change your memory and CPU to right size it to your workload now a lot of people do this as a one-time exercise and they kind of guess it they never come back and revisit it there’s tons of reports in Google where you can go through have a look at these things and then save yourself considerable money just by getting rid of unnecessary resources that your machines aren’t using if you donate anyone have a look at this feel free to reach out thank you

How do you know if AI is actually answering your question, and not just spitting out nonsense?

How do you know if AI is actually answering your question, and not just spitting out nonsense? Transcript so I’m going to break down a few Concepts you might have been hearing when people are talking about AI the first one is retrieval augmented generation or rag it’s a bit of amouthful but it’s really simple if you ask an LL question so chat GPT or Google’s Gemini it’s going to respond based on what it’s being trained on which is the context of the entire internet but nothing specific to your business rag solves this problem by taking your business data uploading it into a database so that when you ask a question the question can retrieve data from the database based on your business and then formulate a response that’s grounded in that this reduces hallucinations or llms making up nonsense and make sure that it’s using data that is real from your business now the other concept we have is chunking if we’re taking documents and uploading them into the database we don’t want to upload entire documents cuz we’re not going to send entire documents to the llm very expensive so we chunk this you could chunk via paragraph but sometimes you need the paragraph surrounding that paragraph to get the full context or you can chunk via headings now different things are going to work for different businesses depending on how your data is structured by fining the way we chunk and store that in a database so that the LM can retrieve it and swapping out the llm model we can optimize for your business making sure that you get the best results possible for the best price possible whenever a new llm is released we can also test that very rapidly and see if that’s going to give you better results or a better price if you’re interested in learning more about this feel free to reach out happy to have a chat with anyone on these subjects thanks

Video Post: 💸 Stop Wasting Money! 💸 Easy Cost Cutting for Your Business!

Getting Started With Google Cloud Transcript getting started with Google Cloud can seem overwhelming at first as with any cloud there are a lot of services that you can use and each has configuration options that can get you into trouble when I worked at Google Cloud I helped some of the biggest brands in Australia set up their cloud environments and I’ll give you a few tips that I learnt from doing that the first thing you wanna do is enable some structure trading an organisation and then creating folders in the organisation to keep projects organised and allow to give groups of users permissions to do things to those projects for example putting all the development projects in a folder called development and giving developers access to those and then having all of the production projects in a production folder maybe without access for developers or for other groups of people once you have the folder set up you need to set up identity and access management so as I kind of touched on that’s creating a group putting developers in the group and then giving that group access to the folder that contains the projects that developers need to work on to do their jobs we may not wanna give them access to the production folder at all or maybe we only give them read only access this is a super simple example and we can nest folders and get much more complex with it and any environment that we’re talking about is gonna have more complexity than that this is a simple explanation now we wanna start talking about organisational policies we’ve got a group of developers that got access to their projects and development folder that we still don’t wanna do anything silly like putting a cloud storage bucket on the internet so that anyone can see what our files are even if those are development mocked data having a data breach is not gonna be good in the headlines there’s a ton of all policies and each one of them needs to be configured and this one example appear for the cloud storage bucket we may need an exception for the public facing internet to be on the internet once we have all this set up we kinda wanna make sure that we’re managing with code if a developer does request that a cloud storage bucket be put on the internet we wanna see who requested that and why and track those changes the logical step here is using infrastructure as code we use Terraform the same as the best practice at Google Cloud that Google had professional services used when I was there and we can do the same for your business in 5 days excluding any complex networking some people are spending much longer on this and it’s really not that complex if this sounds too complex do reach out we’ve done this when working at Google so we know the best practices and we know how to set you up securely so that your business can scale on Google Cloud thank you

Video Post: AI with BigQuery And SQL

Stop waiting to unlock the power of AI! 🤯 You already know SQL… and that’s ALL you need.   Transcript if you have a lot of data stored on Google Cloud for analytics it’s probably going to be stored in B query now everyone’s trying to do Ai and their training models using pre-existing models spending a lot of money on data scientists but I’ve got some great news if you’re using be query be query has be query ml built into it this lets you run AI against your B query data set by using SQL now SQL is the language used by all the people doing queries or database administrators now it’s very simple to use and you probably already have the skills so you don’t need to go and hire expensive data scientists and AI Engineers to gather insights from your data I’m going to break down some of the models that are built into B cre ml to see if these are going to solve business problems for you first one is linear regression this is predicting how much you’ll sell based on past data so if you’re planning stock Staffing trying to run promotions more accurately this is for you it’s built- in can be run with sequel the next one is logistic regression this is sorting things into categories so let’s say you want to sort customers into categories um to see whether they’re going to buy from you again um or if products are faulty putting them into categories saying these products are likely going to be faulty so you can see the use cases for business the next one is K means clustering this finds hidden groups within your customer base so you can Target marketing campaigns towards them the next Matrix factorisation suggesting which customers might be likely to buy an it this is kind of what you’ll see when you get predictive things on websites saying and you might also like to buy X I think we’re up to the fifth one PCA or principal component analysis this is simplifying complex data to find the most important pattern helping you spot Trends and make more informed decisions the last one I’ve got is time series so predicting future sales based on past data helping you predict demand and make sure you have enough stock based on things that have happened in the past so all of these models are already build into big query ml as I said and can be accessed using SQL queries which you likely already have the skills for in your organisation to enabling your organisation to make AI enabled decisions without spending an absolute Fortune if you want help with any of this Reach Out aviato Consulting can help you thanks

Video Post: Google Cloud Vertex AI & Hugging Face

Who Really Owns Your App?   Transcript did you know that most app developers in Australia don’t let you own the IP that they develop for you let me break that down for you you pay someone to write an app for you they let you use it licensed to use it commercialize it change it but you don’t actually own the intellectual property now what would happen if someone else had a similar idea to you went to the same app developer they could sell the code that you paid them to develop this other person doubling their money the next day all they need to do is change the colors and logo maybe make a few slight changes and you’re going to have a competitor now the app developers made a ton of cash on this cuz they’ve sold the same thing twice and only done the work once but you’ve got a competitor that’s going to compete with you and I don’t think that’s really fair and that’s not what we do at aviato at aviato if you pay us to develop your app you own the intellectual property we aren’t going to steal it and use it elsewhere and we’re not going to sell it to a competitor a few days after we finish your project so that then you have someone to compete with in the marketplace if you are looking to get an app developed this is really something that you should be checking with the app developer that you’re going to use reach out to us if ou do want to get an app developed Thanks

Video Post: Don’t hire a team of developers

Don’t Hire A Team of Developers Transcript so you’re looking to get a mobile app built and you need to hire a team of developers I’m Ben from Aviato Consulting and I’m gonna tell you why that’s not the best way to do things if you have a great app idea but lack the in house expertise you can build a development team from scratch but it’s super expensive you need a user interface designer to help your apps look good you need a front end developer to actually build the frontend of the ad and a backend developer to talk to any databases or APIs and then you’re probably gonna need a fourth person to oversee the first three by the time you hire those people I think I can have your app released maybe not fully finished but at least released for a fraction of the cost this is where we excel we’re flexible on demand development team you pay us monthly and you can cancel it anytime we’re literally developers as a service from my experience working at Google it made sense to specialise in deploying our apps on Google Cloud as well that means the app you get is powerful secure and reliable we also write all of our apps in flutter again by Google which means we write the code a single time and deploy that to web, Android and iOS cutting down the development time and cost so to summarize with us you get speed we understand the pressure launch quickly and our streamline process gets your app to market fast host effectiveness you only pays the development hours you need known as enter into long term contract and you get our Google Cloud expertise making sure the app is scalable secure and reliable

Video Post: Cut Your App Development Costs In Half

So you want to cut your app development costs in half? Transcript so you want to cut your mobile app development costs and time in half I’m going to tell you how to do it now I don’t want to get too technical but language choice is critical Here If you hired a carpenter to build you something they would use timber If you hired a boiler maker they would use metal and if you hire a developer that may have spent the most of their career developing apps in Java they’re going to write your app in Java and that may not be the best choice at avat Consulting we worked backwards we figured we want to be the best mobile app development studio and we chose the best language for that and that’s flut up the reason this works for you is we write our code one time and it works across web Android and iOS devices the only other thing that partially does this is react native any other languages you kind of writing two or three apps that’s how we can do this so much cheaper and faster than our competitors and we’re not alone if you look at other companies using flutter and you can see this on flutter. dev BMW Google eBay combank Square tons of other companies and not only writing new apps but rewriting their old apps in flutter because they need one development team to keep that up running rather than having one for apple and one for Google devices even Google who release flut are reboting a ton of their apps in flut because it’s so responsive and cost effective at avat Consulting we’re experts in building high performance beautiful and cost effective apps if you would like to learn more about how flut can benefit your business comment below and let’s build something amazing

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