Leveraging on Artificial Intelligence
January 28, 2022
W OBetween life and death we created for them; we were then able on earlier, as this phenomenon uses to find the different factors that affect data to find these different insights that
of business is digital the pricing of these different houses. are hidden. And were able to find a source of arbitrage that helped this organisation get a unique position within the market. As With the benefits to AI, comes po
transformation a result, they were able to easily spot tential drawbacks that we have seen houses that were underpriced in the our client’s experience. For example, market and were now able to make a in some cases, we realise that artificial bigger spread on the different houses intelligence becomes a bit of a black box
12. This is explained directly within our biology. deployed worldwide to close this gap. they bought and sold. Over the last two in that the different results within that For example, a baby is not going to just wake up In the next part, we’ll be looking at some of these one morning years and of start their running using 100 metres. the system, different they’ve technologies black that have box been cannot used in be the thoroughly defined hy is digital transformation important? The baby’s going to start off by wiggling across recent past. Thereafter, we will look at some of ver Most the organisations last few find articles, themselves we’ve managed to make additional profits as to how they were derived. For exthe floor, and then they will crawl, and then they the technologies that are being used right now as asking why they should spend millions explored why it is necessary for will try to of up to 75percent year on year as an ample, a large bank in the United States walk and fall multiple times before they we speak in advanced economies. Lastly, we will of Pula or dollars investing in these digital transcan actually be able to jog, let alone run. Therefore, look into some of the technologies that we’re still organisations to embark on a organisation. This is truly remarkable of America used artificial intelligence formations and all these new phenomenons that since businesses are run by human beings, this experimenting with our various clients. digital transformation journey. We’ve are coming up in the industry. and illustrates the power of using these - machine learning specifically - to help means that businesses grow at a linear rate, whilst In order to fully understand the importance explored that the reason is mainly technology new grows technologies. at an exponential rate. them decide which individuals would
DIGITAL TRANSFORMATION ( MEANING, CASE of digital transformation as an exercise that the STUDY & IMPACT)
Consequently, this creates a big gap between because organisation business needs to take, development it’s very necessary to is not be credit- worthy and which would not.
where technology is at as well as where business As we may be aware, digital transformation is look at the progression of technology. And this is the key to bridging the gap between technologimoving at the same exponential rate is at, at given points in time. This is exactly what And in doing this, the algorithm took best explained by three fundamental laws, which
creates room for disruption. cal advancement and business development. In that are: the technology Moore’s Law, the is, Butters’ and Law it is as necessary well as From this particular example, what all the different types of data they got,
Disruption basically means that a new player discussing this, we realised that because of the exthe Kryder’s Law. for organisations to be able to digitally can be able are the different building blocks that
to come to an industry where previous ponential nature of and the growth in a of technology, black box and then decided that transform themselves to become comincumbents can were be thriving found and and able to used completely in an organisathe linear nature of black the people people behind businesses, would be more likely
FIRSTLY, MOORE’S LAW SHOWS US THAT PROCESSING POWER DOUBLES EVERY NINE change the status quo. So, as a result, it’s important there’s a significant gap that leads to incumbents petitive in this new world. This week, tion for AI to be implemented suc
MONTHS. SECONDLY, that organisations that come in must ensure that getting disrupted. to default than white people. And at we Butters’ will look Law shows at the us different that communication intricacies they actively cessfully? close the gap between technology adthe end of the day, this caused a huge
And so, what is digital transformation? And speed doubles every 18 months. And thirdly, vancement as well as their business development. what can I as an organisation do to be able to of two main technologies that we’ve First, is it high quality, and clean problem because white people that had
Kryder’s Law shows us that storage capacity This way, they can be able to close the gap for explore and harness the various advantages that it been doubles studying every 16 months. and With working all this, we on realise over the potential data. It is very important that all the
entrants who might come in and disrupt promises to give? This a similar article will profile serve as a guide to black people would something; a phenomenon that shows that the their status quo. It also increases their capability to show and illustrate what digital transformation last few years, the first being artificial different data sets that organisations be getting their loans at a cheaper rate rate of technological growth is exponential. This and capacity to be able to continue to grow. is, and then we’ll go on to use an
TRANSITIONING TO intelligence, AI for short. need are structured. And the example data is of a local than incumbent black that people has been with the exact same means the increases between the different data Now that we understand the importance of
For most people, just the mention of points are greater with passing time. But on the data transformation clean for in us closing to be the able gap between to create able custom to use digital profile. transformation And to this transform led to regulatory risk other hand, we as human beings are conditioned business advancement as well as technology their organisation. artificial intelligence scares the living algorithms that will help us find these for these individuals as well as reputa
to think in a linear way. This would mean we’re advancement; it’s necessary for us to look at the daylights conditioned to out move of from them, three to mostly six to nine because to different different types of technologies paths that to decision are being making. tional risk for them as an organisation.
DESCRIPTION: a lot of the different knowledge and And once you have the clean data, we As now, they really didn’t know what information we’ve read about it has can then use different types of models. was really in that model. been in a negative light. Everybody Within machine learning, which is The second big drop that we have remembers that famous movie from another branch of artificial intelligence, realised in implementing AI is that the 80s, whereby the robots and the there are two types of models that we it requires a lot of compute power in machines were taking over everything can use. These are: order for us to execute large tasks. So that the humans owned, and the robots I. Supervised learning - has to do as a result, this large compute power is were taking over and doing things per with structured data, which is, data that going to require large servers as well as their will. That is what we call gencan be structured such as, name, ID large cloud service costs that might be eral artificial intelligence ( general AI). number, grade and so on and so forth. costly for an organisation. Unfortunately, or rather, fortunately, II. Unsupervised learning - is a more The last major drawback that we the pure intelligence hasn’t reached its complicated version of machine learnfind from artificial intelligence is that peak, whereby it is able to reach those ing, which takes unstructured pieces of due to its rapid improvement over the kinds of knowledge levels, or levels data and tries to make sense of them years, we find that in the next couple of of operation where it can be able to over time, and then goes on to help years, it will completely eradicate and do that. make decisions around it. remove people from jobs. As a result,
On the other hand, we’ve got narrow Drawing from the case that we it’s necessary for individuals to look at AI, which is quite simply said, a more have just illustrated, you can see that what jobs are actually in trouble at this specialised variation of AI that specialthe kind of data that we used in this particular point in time, and then pivot ises in specific fields of expertise and is particular exercise, varied from some or rather specialise in different areas not necessarily a know- it- all being that structured data, including informathat will ensure that they can coexist is general AI. Narrow AI, on the other tion from the Deeds office, some from with the artificial intelligence. hand, seeks to perform a specific funcunstructured data, such as negotiating However, all in all, the rise of artition of the human mind. For example, price points, some from other data, ficial intelligence as a technology has you’ll find that the kind of applications including neighbourhoods, and so been an overall good for organisathat we’ve been able to build narrow AI on and so forth. And from these diftions across the world. We’ve seen on, have been solving specific probferent sorts of data that we collected, organisations reduce their costs by up lems, e. g., facial recognition software, we’re able to then come up with these to 70percent. In some cases, and with and not necessarily multifaceted issues, different models that went on to help some organisations across the world, such as those performed by general AI organisations. they have even gone on to double the as depicted Motor Centre in the Toyota:- movies. Tel: + With 267 395 that 1736, Fax: + 267 397 3442, Plot 28562, Samora Machel size Drive of their businesses using the advent said, Associated what then Dealerships can this AI - Francistown phenomToyota:- Tel: + 267 241 3855 of artificial intelligence to give them the enon Broadway do for Motors:- you and Tel: your + 267 business? 471 0252, Bamangwato So now Toyota:- then, what Tel: + 267 are 261 the 0539 direct benefit. As a result, in implementing
Rustenburg Toyota:- Tel: + 27 14 523 3000, Lichtenberg Toyota:- Tel: + 27 18 632 4455
It has been theorised multiple times benefits of this artificial intelligence this technology, although there’s a large by academics, you’re reading about it phenomenon? And how will they eninvestment behind it, the benefits are here today, and from multiple parties able you as an organisation to become likely to come for your organizations around the world talking about how it better, faster, cheaper? given that the implementation is right. is the next wave in the world. 1. Finding a unique selling point Our world is changing. And the - they will definitely help an organisatruth is, we need to understand what tion find a unique selling point or a we as organisations must do to be competitive advantage that will help competitive. As organisations are using them thrive within their market. For these different technologies to improve example, the above property client was themselves, and leverage upon them to able to find undervalued properties become better, faster and cheaper, it’s much faster, and much more efficiently necessary that an organisation invests compared to their peers. Thus, were towards the future for them to ensure able to have a competitive advantage. their long- term sustainability. Artificial
2. Reduce cost base - organisations Intelligence, from our experience, and can use artificial intelligence to help from the insight we’ve drawn from reduce their cost base. For example, we working with other larger organisarecently worked with an organisation tions is a sure way to be able to do this. that was automating their production However, as an organisation before you line. And through use of artificial inteldecide to invest in it, you need to realise ligence, were able to reduce the total and understand that there has to be a number of people on the line by over business case that you are solving in 50percent, using artificial intelligence order for this to be successful. technology. And as a result, were able Thank you and please do join us in to get much more optimised results for the next article as we continue the joura cheaper price than that of individuals. ney to helping you and your network
3. New growth opportunities - artiensure that you become better, cheaper, ficial intelligence has opened up a new and faster. avenue for different organisations to find new growth opportunities that they will not have been able to leverage
Case Study
In typical fashion, we will go on and take a case study of an organisation that we recently worked with in the SADC region. This organisation is a property development company that specialises in buying houses or commercial properties; once they have bought, they improve the property and resell it at a higher price in the market. What they wanted to do was to find a way to arbitrage the market by finding undervalued properties, improving them and making a bigger spread on the different properties they sold. So, what we did was, we took a large data set of house prices across the nation from the Deed’s office. We then went on to clean it up, removed all the different inconsistencies. Once we had ensured that it was a clean set of data, we then took this data and created multiple machine learning algorithms, which really is a branch of AI. And with the use of these different algorithms that
Building Blocks Benefits Drawbacks