Write 1000 words article and add html headings based on this youtube script A primer on the use of AI in business this presentation was first given at the future Technology Center at the University of Portsmouth in March 2024 my name is David Patterson and I’m the managing director of no now information we’re a software services company based in Portsmouth on England’s Sunny South
Coast the company was formed in 2013 my co-founder and I were working on Smart City projects at IBM when we saw that there were three emerging technologies that would transform the way that software was developed firstly the availability of AI Solutions such as those from IBM’s Watson to support
Decision making and enable efficiencies in business processes secondly the development of microservices and portals that enabled you to rapidly build using them such as IBM blue miix now IBM cloud and finally the growth of cloud for both processing and storage together these three Technologies were about to reduce
The time to develop a softare W prototype from months to days so we use these tools to develop some Innovative software the flood event model was designed to identify where flooding events would impact the UK’s critical infrastructure it was the winner of the 2015 open data prize and
Developed using some of the UK’s supercomputing infrastructure at the Harry Center statistical models and machine learning were used to monitor 27 data sources to create probability maps for where flooding events might impact electricity substations railway lines water treatment centers and other critical infrastructure it was selected as a national tool by the UK
Government’s flood defense review until that review was cancelled immediately after the brexit vote we also developed intelligently this is a workplace management system that uses internal building data the prevailing weather conditions and feedback from the worker about their immediate working environment to help improve worker well-being whilst working and also to improve Energy
Efficiency intelligently uses machine learning and natural language understanding to make recommendations for the worker to improve their working environment you will have almost certainly read a considerable amount about AI in recent months much of it is focused on generative Ai and much of that is focused on the chat type tools
Such as Bard and chat GPT almost every business should currently be considering how it can adopt these tools to accomplish text based tasks quicker and potentially better than they could through human effort alone you can go a step further than this however and integrate AI into your processes services and if relevant
Software products through the use of apis or application programmable interface companies such as open AI who are the creator of chat GPT also make their apis available so that you can access their models automatically if you’re if you’re an antique shop for instance you might generate a description of each antique
Automatically within your catalog finally it is also possible for you to fully automate processes either through the deployment of combined services or models such as using what’s an assistant for a chat front end with whatson Discovery to identify relevant back-end data or you can even create your own Services running on your own
Infrastructure using large language models available on GitHub this might be particularly useful for businesses who can’t or won’t use third-party services in case of secret information being passed to the chat server as we increasingly adopt AI as a normal business resource we should reflect not just on what AI can do but
Also how it should do it AI Assurance is about ensuring our AI systems are reliable safe and trustworthy it’s a commitment to Quality and integrity underpinning every AI solution we deploy but beyond technical robustness there’s a moral compass we need to navigate the realm of ethics and bias we must always
Be wary of using unrepresentative and non- diverse data sets to avoid presenting a distorted view of the output data by using diverse data sets we are not just enhancing accuracy we are combating the ingrained biases ensuring our resulting Solutions are fairer to all we must also consider the ethical
Implications of AI decisions many HR department department or companies are now using AI to filter job applications this is not just an arbitrary decision but one that impacts lives careers and sometimes entire communities the AI needs to be aligned with our core human values to ensure that instead of discriminating or marginalizing we
Instead uplift and empower the key is to maintain transparency and accountability decisions should be understood and scrutinized there should certainly be a mechanism to correct any errors and to prevent the from reoccurring through an adjustment of the input data only through transparency we will build trust in Ai and create innovative solutions
For the greater good so if I put my futurologist hat on there are some nearsight predictions that we can make about future Trends in AI firstly it is highly likely that there will be legal challenges based on the use of copyrighted material at the moment there is a range of attitudes
Within the bigger AI companies towards the use of potentially copyright assets which have been published on the web the CTO of openai for instance was unable to say whether their image model had been trained using people’s private photos uploaded to Facebook on the other hand some companies such as IBM have stated
That they will never use copyright Assets in their training models the early worldwide web saw legal challenges based on copyright such as the newspapers trying to prevent news aggregators from accessing their articles it’s likely that we will see similar again we’re also likely to see more granular industry specific models there
Are already projects underway to create a large model of Building architecture and of government business processes for example we’re also likely to see increasing levels of Automation Way Beyond the rudimentary agents that we see today for a start almost every AI company is trying to develop physical
Robots so that there can be a physical layer of automation to the output from their AI in particular we will see increased numbers of combined models that will specialize in creating an entire process using a variety of different models we have already seen the integration of image AI into chat AI
With d e integrated to chat GPT for example imagine a time when Netflix can automatically translate the dialogue of a movie while simultaneously recreating the mouth movements required so that there is seamless localization this is possible now but not in real time we’re currently only at the foothills of the mountain when it
Comes to AI credibility if you’re interested in a deeper understanding of how you can use AI in your own business then I have an exclusive offer for you today we run a comprehensive Workshop where we dive into the Practical aspects of AI implementation and begin to address your
Unique challenges it’s a chance to learn but also a chance to transform the way your organization engages with AI the best part is that for anyone who is here today or watches this video the workshop is on us just contact me at david. Patterson ki.com and the details are
Coming up on the the final page it’s been great to speak to you today and however you decide to use AI in your business best wishes from know now information
