Google Speech-to-Text API Automatic Transcription (Chirp). Treat it as a searchable index of what was broadcast, not a quotation record.
00:00:01one can open the door to respect, sound, are you
00:00:03ready, and the other close it with
00:00:07fire, two perspectives, but one big
00:00:12of issue, are you good? yes, I'm good to go, so do
00:00:15we argue to fight or disagree to understand? three,
00:00:19two, one, real life, this is
00:00:22the
00:00:24of big.
00:00:31of of
00:00:36of in At TVs news, wherever the of big news stories happening, we're get up to
00:00:37of agg it, TVs news, first with
00:00:42of breaking
00:00:42news,
00:00:49of
00:00:57artificial intelligence is rewriting the gl. economic
00:01:00playbook, but while the west builds massive data centers
00:01:04and
00:01:05of silicon valley debates trillion dollar computations, a
00:01:09of quiet revolution is taking place right here in the African
00:01:13of continent. hello and welcome to technifire i
00:01:17of am, today we're mapping
00:01:20in out the rise of African AI, opportunities, challenges
00:01:24and the road
00:01:24ahead.
00:01:30of Nigeria stack ecosystem
00:01:34has crossed major
00:01:36of valuation benchmarks driven by booming fintech and
00:01:40digital
00:01:41of infrastructure.
00:01:42of Nigeria of has killed its 3 million technical
00:01:46talent initiative to position the country as major
00:01:50exporter of tech skills, strict safety,
00:01:55of transparency and bias audit compliance
00:01:57of
00:01:59of of rules are now legally enforced. for global tech firms,
00:02:03nextjen AI has moved beyond pattern margin
00:02:06to system to
00:02:08of agentic reasoning for complex problem
00:02:11solving. medical regulators have approved the
00:02:14first fully autonomous AI
00:02:17of systems to
00:02:19of independently diagnose medical conditions. tech giant
00:02:23have deployed small modular
00:02:26of reactors to meet massive AI computer energy demand.
00:02:30of of multi billion dollar investment have searched into
00:02:34local
00:02:35of sub-sea cables, data centers and regional AI
00:02:39computer
00:02:41of apps.
00:02:46to help us navigate the metrics, we have guest who lives
00:02:50of exactly at the intersection of business strategy and high
00:02:53impact machine learning. he has over
00:02:57six years
00:02:58a of of
00:02:58of experience building financial and analytics
00:03:00of models has trained nearly 3000 data
00:03:04professionals worldwide and is taking
00:03:07African grown ar research all the
00:03:11of way to the University of
00:03:12of Cambridge this
00:03:14of year.
00:03:15of Please welcome data scientist, lead analyst and AI
00:03:18researcher David Balugu. David, good to have
00:03:22you. Let's get to meet you, who exactly is
00:03:26David. I
00:03:27of did of a little bit of introduction of you, but let let's hear. from the horse's mouth, who is
00:03:31David? yeah, thank you so much for that question, yeah, see
00:03:34David Balogon,
00:03:34it's um, I've been in the data space for a couple of years and have the opportunity of
00:03:38working
00:03:39of across the fintech space, the tech
00:03:41of a space, renewable energy space and couple of other sector within the
00:03:45tech industry and outside of my
00:03:47of of work typically I'm also AI researcher and
00:03:52of I have couple of you know amazing paper I've written and you know some are
00:03:54of you for publication yet and some are still yet to be published and outside of my work
00:03:57also I'm also into mentoring and coaching. and
00:04:00i h the opportunity of you know mentoring and coaching over a couple
00:04:04a of two 3ous people across africa and across you know the
00:04:07global large basically i'm also someone who is driven by
00:04:11impact also right so most of what i do by getting to
00:04:15you know mentor and teach and tut people within a data space it's just born from the place of
00:04:19making impact here basically you build predictive
00:04:22of cash flow models for fintex and also
00:04:26of AI that can detect crop or diseases
00:04:30so tell us about it, so one
00:04:31of the first um fintech company had to work with one
00:04:34of the major because
00:04:35of the
00:04:36a kind of business we do that because it was peculiar to um disposing of cash so we
00:04:40have to build like
00:04:40of a model which can help us predict the accuracy
00:04:42of the disborsment and help us you know predict the accuracy
00:04:45of the pit back time of our customer right so we don't get
00:04:49of to over this b and we don't get to you lose money or we don't get to lose our return
00:04:53on the money so after putting the model into perspective to you make
00:04:57accuracy and may to make exact disbosement and know what our
00:05:01return on interest is going to be and it was very amazing and you know that was just it
00:05:05basically and also for the
00:05:09of um crop disease stuff i think couple of years ago two the years ago i was speaking to a
00:05:11of friend and he had major project project was working on at that time so he was trying to
00:05:15build something around crop dictation that is just a bit about deep
00:05:19learning right so maybe to use images to dictate diseases
00:05:22across
00:05:23scr and youside the conversation we had like a project to work on it took us
00:05:27like two the months and after then recently had a conference i was privileged to
00:05:31write about
00:05:32you know being able to track diseases with c images and all that using
00:05:36deep learning right and one the major thing we did basically was to you know put
00:05:40that into a research perspective and put it into a practical approach so what do mean by
00:05:44that? so farmer a small scale farm can make use these
00:05:47applications to you dictate crop diseases and also
00:05:50mitigates r against it know well that the word
00:05:54basically leaves on food right so i don't have to go to farm you don't have to go to
00:05:58farm but we literally eat and we get our food phogies from the
00:06:02farm right so that and about 40%
00:06:06of farm food is are being um disrupted because of this
00:06:09sp and all that in the farm how did you move from? to
00:06:13agriculture, yeah, so I would say the whole context is
00:06:17about problem solving right, so what problem are you able to solve, when you're able to solve
00:06:21problem, you would have money would come which ultimately star to value right, so
00:06:25everything at the end the day is just bottling down to problem solving and food is
00:06:29major in as much we are all in the old AI of ten
00:06:32ecosystem, food isn't a major problem or
00:06:36major solution right, so having like a right
00:06:39solution towards it, having like a putting a proper infrastructure towards it, i think we
00:06:43would have reduced number of disruption to our plant produce and
00:06:47all that basically, so it's just decision of trying to solve a
00:06:51problem right, you convince a farmer in the village
00:06:55that using application can help
00:06:58him to prevent crop diseases, so when you speak to average
00:07:02farmer most times they will tell you and from the research we did right, did
00:07:06and for the paper the conference i spoke about in university of one the
00:07:10major issue we saw was that 40% of farm food is being destroyed
00:07:14right, that is a yearly basis across west africa and east africa and
00:07:18africa at large right, so 40% of 50% and for it
00:07:22to be destroyed that means they've kind of putting lot of work to
00:07:25you know trying to plant and trying to water it and taking it
00:07:29to a particular point in time and everything just goes over so one the major thing we are selling to them
00:07:33is problem we are trying to solve x y z problem for you right so if i'm coming to you you
00:07:37have this problem i'm trying to solve it and also make it economical for them right it's something they
00:07:41will buy into basically at the end the day,
00:07:43in as much you still have instances of um best
00:07:47distruction, but at least it should be a very reduced and control rate
00:07:51right? so if you are planting let's say 100 100 crops
00:07:55and let's say 40% or 50% have been destroyed because of
00:07:58fampest, it's not a good business deal and no one is going to be
00:08:02willing to invest in the agricultural space right, so when those problem are
00:08:06being solved right, we would then open way for investors to keep coming
00:08:10into the agricultural space. tell me about your trip to the
00:08:14university of ibado, what did you take from there? first conference,
00:08:18international conference of competing university of ebado right, so the paper we
00:08:22delivered was trying to solve corb diseases right, so using deep
00:08:26learning to solve corp diseases, so one the major takeout there was the
00:08:29problem is being recognized, there is a problem of cop diseases, so trying to put
00:08:33it out there into implementation, so that is where we are moving towards now, right should
00:08:37trying implement it out there and making sure everyone is fully about is fully
00:08:41aware about this solution right and trying implement it to their businesses so that was the major
00:08:45thing,
00:08:45it was very fantastic conference we spoke about and it was very nice because we
00:08:49saw a couple of other problem,
00:08:52you know people are trying to peach some other problem to their research paper and all that and yeah
00:08:56just showing full that the african ecosystem is also coming to the center
00:08:59the world right we are not left behind in
00:09:02the in the whole conversation of um data and technology
00:09:06so which these two worlds actually represents the future of tech
00:09:10in Africa uh fintech or that's a very nice
00:09:13question i would say fintech currently have like um would i
00:09:17say a track record of doing so well right the ag pace is still very
00:09:21evolving i would say right so in as much you would give credit anacoly to
00:09:25the fintech space and one other thing we should not forget to
00:09:29mention is there a lot of investment going into the fintex space so in as much there was
00:09:33being a little slow sloopy investment
00:09:37you know investment willingness from investor to invest in the
00:09:40fintech they've had lot of... investment over time right and compared to the
00:09:44greek space, one thing i would say again is uh in the agreic
00:09:48space there should be need for you know investors to coming into the space but
00:09:52because of some the issues they
00:09:53are noting to come so i would say fintech is going and you know it's doing
00:09:57well but if opportunity has been given to the quick speech would also have
00:10:01during the coming years i would say your edge
00:10:05AI research is going to cambridge this i know you're
00:10:08excited so tell me about it yeah
00:10:12um so we worked on data collection um pipeline right so
00:10:16for computing cloud computing and also internet of it right
00:10:20so shout out to my quarter i have three quarter one the
00:10:24quarter to be a professor um of AI system in
00:10:27honoBC OnBC
00:10:29on banja university and two the other couple guys um working on the project with
00:10:33me right so what we are trying to solve is data collection process right
00:10:36so there is this conversation of data is not properly well collected
00:10:40in Africa right so because of some abnormally so we are trying to correct
00:10:44that so also trying to collect the data and showing like there's a proper cloud
00:10:47infrastructure right in putting in the data into
00:10:50implementation so that's what the paper is all about and it's going to
00:10:54be conference when you present this paper, so what's the the
00:10:58biggest misconception about Africa that you want to shutter? yeah, so I
00:11:02think one the major issue going to be around data collection system or not having like a
00:11:06proper centeric means of collecting data, so there is this might african
00:11:10k keep data, and as much that is 100% true right, so I think they've been
00:11:14some new regulations across some countries in Africa right, so when you look
00:11:17at like of Kenya and what's the minister of digital technology
00:11:21is doing in Nigeria yeah right, so you've seen the have been a kind of improve
00:11:25in the means of collecting data, but in as much is not 100% accurate, i
00:11:29would say or 100% reliable, they've been intentional
00:11:33effort towards it, so that is one the minds are trying to correct that
00:11:37AI infrastructure can can can come into Africa and they can really
00:11:41do well if you have the right data and that's the mind we are trying to correct or shutter basically
00:11:45a constrained a resource constrained environment
00:11:48like power and internet how possible can that be
00:11:52yeah that's
00:11:52a major issue i would also say so one the implication of that is
00:11:56it can kind of slow down the pace of air across africa right so think
00:12:00i saw a post recently someone was complaining that she walks for one
00:12:04customer care successful but guess one these company in the US or
00:12:08eastern western world and
00:12:10you know they have to lay off because of internet right so something as simple as internet
00:12:13can be so frustrating right and i'm sure every one of us have our own
00:12:16fair um fair of that basically so one the major issue will
00:12:20be having is internet connection and also lights right we know how light can
00:12:24be of nigeria and i think there's a vcent development
00:12:28or solar and to ver extent some people
00:12:32cannot afford it right because the old heavy investment and
00:12:34there are a couple of guys doing a bit of
00:12:36you know pay buying now pay later but in as much to sustain in places
00:12:40if we don't um tackle the basic issue of internet
00:12:43right and also making it affordable to people right so in as much you would say
00:12:47there is internet and it's good sometimes is not affordable to people right so you have
00:12:51person who is trying to do the remote job about probably spent
00:12:55chunk the money trying to buy internet and after buying it you still have to struggle with
00:12:59having like a good connectivity right
00:13:01so what that would do basically just to slow the pace of air across
00:13:04africa and nigeria as a whole so if you can talk those two button like right
00:13:08so we can start leveraging on
00:13:11that and start building basically you've trained 300
00:13:14data professionals what's the biggest mistake an
00:13:18African uh an African that wants to learn data what's
00:13:21the biggest mistake they make uh when enting to that field
00:13:25one the major mistake i've seen people make in general it's they want to start learning the
00:13:29big thing and i also did that mistake i can remember vividly a couple of years ago
00:13:33i was talking to a mentor of mine is a partner now at pwc so
00:13:37told him i was moving to the dat analytical space and he had me kind can you
00:13:41use excel in my head i'm like i'm learning python i'm learning pandas
00:13:45nopi machine learning what do need excel for but luckily enough i
00:13:49stumbled a video by someone and reached out to her for advice and she told me to
00:13:53go back to the basics right to learn the basic stuff, so
00:13:56most the mistake most people make most times is they want to start learning the
00:14:00big stuff and leave the basic right, and most times you need to learn the basic before you
00:14:04go into the add stuff, so for instance you want to build the house, you can't start putting the
00:14:08roof in right, you have to start from the foundation right, you have to put the blocks and
00:14:12make sure they are well cemented right, so make sure you're doing the underground work,
00:14:16make sure you are learning the basic stuff and you can start building from there, so when
00:14:19coaching uh students across the world across all the continents
00:14:23because I know you've trained. uh across uh the continent,
00:14:27what's the biggest advantage an African has over
00:14:31these people? so I would say from a place of pain and frustration right, so I've had
00:14:35instances whereby some of my students will tell me um they having issues with
00:14:38lights, no internet connectivity, sometimes you just have to
00:14:42understand them and you know you in this position at some time right, maybe just
00:14:46send them money to get um you know data and all that
00:14:50right, so most them take it from a position of pain right, I don't
00:14:54like this my presence. situation all the respect to the folks in the western world
00:14:58right, they have all this infrastructure, light, internet right,
00:15:02so they just have this kind of child mindset of that me just learn,
00:15:04but someone from Nigeria or African is coming from a place of
00:15:08pain right, so they are ch you are using your pain right, you are changing your pain
00:15:12to a good story right, so that is one the advantage they have over
00:15:16them, are we really being trained for local impact or just to pass
00:15:19remote jobs, the two works and in hand, so there have been a
00:15:23vcent debate, i think you are probably tos in um team
00:15:27are it app um moneypoint CEO he was saying something about talent and all that right so in as
00:15:31much you saying pass remote job it should have impact also right no one would
00:15:35want to h someone who do not have value right so both work and hand
00:15:39basically so make sure you have impact and make sure you're also chasing the money right,
00:15:43chasing the good job right, for one major thing i would see most times is most people are
00:15:47gradually moving towards the remote job because it makes your life
00:15:50comfortable, you stay
00:15:51at home, but at the end of it we are leaving the important part
00:15:55right, the important part of trying to build locally made stuff for ourselves across
00:15:59africa, silicon valley assumes everyone around there has problems with
00:16:03internet and problem with power, so to break through with...
00:16:07in this part the world, in this continent, africa, what's the first thing to
00:16:11break, mean to do? so yeah, the first thing we have to do, i think we spoken a bit
00:16:15about
00:16:16it is to solve the basic problem, right? so i'm taking it back to the question you
00:16:20asked me about the mistake most people make when they stand trying to
00:16:23make start the journey out the data scientist, one the major mistake i said
00:16:27was they don't want to learn the basic stuff so we have to fix the basic
00:16:30issue basic issue like light light light issue we have to
00:16:34fix it internet of it in right we have bad internet. you have to fix
00:16:38it, make it also affordable for people, right? i was speaking
00:16:42to a friend of mine, that person was telling me when you buy
00:16:46internet in their place in the western world right, they use it for a month, it
00:16:49doesn't unlimited, but when you buy unlimited here in Nigeria with all you respect, it's
00:16:53not even unlimited, you get
00:16:54what i'm saying right, one the major thing we have to fix is our data center, three
00:16:57issues are being fixed, you would see like rapid growt in our air
00:17:01ecosystem, so data sovereignty, we must
00:17:05have our own data, is that what you're saying?
00:17:07do you believe in sovereign data? i think last year i spoke at
00:17:11pycon a python conference, one the topic i spoke about
00:17:15was data sovent who really own the data of africa right? so one
00:17:19the major thing or one the major highlights i'm just going to retate on that is let's
00:17:23try and lokalize our data let's try and build for africa in in africa right
00:17:27we are not building for africa in the western world we are building for africa in africa right so i want to
00:17:31build the products a product that someone in ubumoshore can
00:17:34actually use right and that's one the major issue we have. so i'm going to give
00:17:38a quick illustration now right so when you use some of this ai to when i
00:17:42say um money now europa money means o
00:17:46right that's a th letter word and there's a place in indo state that is
00:17:49awo right so we have instances of that that's where i'm
00:17:53from oh right yeah i'm from some around there too right so we have on that
00:17:57place - right so still the same letter
00:18:01word but different pronoization right so sometimes when you look at this ai
00:18:05um tools or stuff the really can't get
00:18:09what we mean by this, they just generalize it most time, so we have to build ai for
00:18:12ourselv right, so data sovereignty has to start with us, we have to localize our
00:18:16data right, so making sure everything has been put into context
00:18:20right, so we are not leaving anything out for the western world to develop for us and
00:18:24then we ship it back, all the respect everyone doing a bit of data notation, you
00:18:28see companies areing data people to do a bit of data notation for them and all
00:18:32that, but we have to start localizing our data, we have to own our data,
00:18:36and one the major challenge have i was speaking to couple of um my
00:18:40um ment couple of months years back i think last
00:18:43year the lady was from kenya oround that she was talking she raised the question around
00:18:47this and one the major concern she said again was something
00:18:51around trying to assets data right try to access data is a
00:18:55bit hard and you recently ce of ch was talking about how they
00:18:59are using data to make decision how people will order for chicken in the first week so that's a very
00:19:03powerful inside the are sitting a lot of data right so this data have to be made
00:19:07public to for um for individuals to make decision
00:19:10and there is a b of data privacy of people not wanting to release their data because some people would
00:19:14do x right but if for every place there's a rule there's always
00:19:18regulation right and there's always a punishment right so i feel we should have more
00:19:22or less like and this appeal
00:19:23to the government right we should have like our data being made available for public use right
00:19:27for right use not for any fudulent or whatsever use right and
00:19:31anyone that has been cut in cut in the out of trying to use for something that is not rightful the
00:19:35person is being dealt with right so if that is being are good, we can start building for
00:19:39Africa in Africa right, so
00:19:41we don't have to shipping what is being built by the western one to Africa because they are not
00:19:45100%, they don't fit, they don't fit what we are trying to do basically
00:19:49right, we are just using it, but it doesn't 100% fit in for the Africa
00:19:53ecosystem, one of that thing I'm going to say is in Nigeria we have over,
00:19:56I'm not entirely sure, but I'm sure we have over 20 to 30 languages right,
00:20:00so different languages, and when you go to the eastern um African
00:20:04for instance, more than yeah, when you go to eastern African you see. you see different type
00:20:08of languages, different type of culture, so we have to build air that can actually
00:20:12understand who we are, right? who we are, our
00:20:16problem, and from there we can make start making impacts globally,
00:20:19and as we own our data, we should own our tech
00:20:23also, definitely, and we on this show, we we we claim
00:20:27for sovereign innovation, mvps to
00:20:30mvps, we look at our technology or
00:20:34speaking our language, do you think we ready cuz I'm still
00:20:38on the move looking for intelligence that are native
00:20:42uh tech that speaks our languages do you think we're ready for we are actually
00:20:46ready for it one the major block I would say is maybe founding.
00:20:50right so for you to build um ai um product
00:20:54that
00:20:54is well used that people use you have to have quite a number of money right resources
00:20:58right um there
00:20:59was
00:21:00guy accident i think he built a product right in 20 yeah
00:21:04youngbit right so it scared
00:21:06to very i think um blue chips um um acquired it and all that
00:21:10right so we have folks building stuff when you go to your lag
00:21:13you see their the
00:21:15i think they have up right yeah innovation up the build stuff there right
00:21:19so we have guys doing stuff, but one the major issue we have is founding
00:21:23right
00:21:24and
00:21:28yeah d you like right so we have folks doing stuff
00:21:32but one the major issue we're having is funding right there is no funding and there's no government
00:21:36intervention i would say again right so when you are building most times people need
00:21:39govern government intervention right so government intervention is some areas
00:21:43of data collection to right you can actually build the model to be 100%
00:21:47accurate or let's say 90% accurate or 9 5% accurate if
00:21:51you are not actually fitting it with the right data set right and those
00:21:54are the issues some these guys are facing over there but the big question is is
00:21:58africa ready for the global AI race we are ready right if
00:22:02this issue being mentioned are being fixed here we are 100% ready for the AI race
00:22:06and we've been seen a bit of implementation towards that and a bit of product
00:22:10or a bit of services that have been launched that have been AI driven right so we are 100% ready
00:22:14for it we just need to put some check in place some checks in
00:22:18place right to make sure that it's been done fintech, agritech
00:22:21or logistics, where will the real
00:22:24african first african unicorn come from from
00:22:28these three? fintech um is like the big brother to every every
00:22:32other sector, let's be honest, fintech is like the big big brother, so fintech has been
00:22:36doing well right, so i think it's most likely come from
00:22:39fintech or maybe very
00:22:42very, i think fintech to be honest right, that is
00:22:46fully of that because the every investment in fintech the lot of... innovation that is going
00:22:50on into fintech right and recently i think pas launched a
00:22:54product where you can just chat they have a chat box you can chat the
00:22:58boss you want to make a transaction it's going to run it for you you want to please an order
00:23:02on child you want to do x y z right so i think it's going to come from
00:23:06fintech basically and that's because the infrastructure and the road
00:23:10map um fintech has already and now to matter that
00:23:14concerns everybody the brain drain the jakwa syndrome
00:23:18is it affecting us are we? training people for
00:23:22the world or or what do you think? one the major
00:23:25issue we have most times when people get to leave the country is the
00:23:29ecosystem right is not encouraging and outside of one the major influence again is pear
00:23:32pressure right so when you see someone - maybe you're working a
00:23:36project to someone person is telling you oh i'm going on vacation to
00:23:39grease and you're literally maybe you know this
00:23:43person is not quoton quote is not literally better than you
00:23:46just um what you call a limitation of government like
00:23:50person is telling i'm going on vacation to grace like you can't even take like you can't
00:23:54fly from legos to abuja for five days and stay in the five star hotel your
00:23:58bank your bank um what is it called account will be crying right so
00:24:02these are some the issue right we have the peer pressure issue and when when they feel they are good
00:24:06they apply for international job and most times you actually do get it right
00:24:09so it's just b down to the ecosystem and the the
00:24:13development the country we since uh we keep having people
00:24:17moving out the country because of this ch syndrome and the way other
00:24:21country are opening their door for talent right, so it's it's going to be very
00:24:25big opportunity for most people to leave, but if you can fix our issue
00:24:28predominantly, we would have lot of jakwad right, and most the jakwad are
00:24:32always coming with the innovative idea, and for you
00:24:35to jakwa that you must have jakwa and you must have maybe seen some one or
00:24:39two places to make improvement for in Africa and you would come back to your country and start
00:24:43making
00:24:44the innovation, yeah exactly three words,
00:24:47what's the biggest lie? have been told about AI in
00:24:51africa so i think the biggest line they told us about africa um
00:24:55AI basically is african don't collect data we
00:24:59don't collect data i think that's like biggest and i'm saying that because for you to have a
00:25:03good ai system or machine learning model
00:25:07whatsoever you have to have a good data what you call collection process right your data has
00:25:11to be accurate so i think that is one the biggest line
00:25:13to the african don't collect data and as we random
00:25:17award for someone listening today a word of motivation,
00:25:21someone that wants to be like you, but wondering maybe okay, maybe you
00:25:25were born with silver spoon,
00:25:29okay, so or basically a word for them a message, so i think
00:25:32resilians keep building, just keep building, that's the honest,
00:25:36anything you are doing, just keep building and be being optimistic right, so you might not
00:25:40get it right now, but just keep building and also have right set of people
00:25:44around you to inspire you and to guide you right, or just keep building anything
00:25:48you're doing regardless of even not even in the tech eco system, anything you're
00:25:51doing, just keep building, making sure you're building and you're building, don't be tired, it gets
00:25:55tired, and one other thing i would say again, think i had it from someone one time is
00:25:59you know when you are in the gym you are tired, you tell yourself let me just go... more
00:26:03right, let me just push one more, just that one more try can actually be
00:26:06like we defining moment right, just that one more push, let me
00:26:10just push one more time right, you can be tired, but let me just do this one more
00:26:14time and that might be where your results will be, no pain, no gain, no pain, no gain,
00:26:18yeah definitely, so so lastly uh, what's
00:26:22next for you, i know Cambridge is later this year, so what's the big thing
00:26:26again you working on,
00:26:27yes i have couple of other research paper i'm working on, one is supposed to be on the 10th international
00:26:31conference um a artificial intelligence in London, um another
00:26:35one internet of teams in Parkok University with the partnership the university
00:26:39in I think Manchester, so two of those people are actually being out
00:26:42there, but we are yet to get a responder feedback from them, but hopefully we would
00:26:46get and and one of my go again also is to make sure we have like lot
00:26:50of African researcher right, so predominantly building and
00:26:53researching for Africa right, and we can also leverage on that to um push Africa
00:26:57on the global map for AI basically, so thank you so much David
00:27:01pleasure is my... Thank
00:27:02you so much, thank you for showing us that the road to
00:27:06the African AI is not only full of opportunities, but
00:27:10paved with codes, yeah, thank you so much, and good luck representing the
00:27:13continents, thank
00:27:16you so much, thank you so much, the take away today is
00:27:20clear, African AI shouldn't try to copy the blueprints of
00:27:24western tes, the true power of innovation lies in
00:27:28constraint driving engineering, building lightweight high
00:27:32in
00:27:32at systems that work flawlessly where infrastructure is
00:27:36tough and that's our package today, i
00:27:39am keep innovating
00:27:43and see you next time on technique
00:27:45fire.
00:28:25I ride to request the kind approval the national
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00:29:26News. the
00:29:30Inspector General of Police has met with senior officers to review the state of
00:29:34security,
00:29:39we are continuing a coverage the rest of
00:29:42godwin
00:29:43and
00:29:47the senate has summoned the governor the central bank of nigeria to
00:29:51properly brief the senate regarding the state the
00:29:55economy.
00:30:02Let's now bring you more development from ibadan the year state
00:30:05capital where an explosion has taken place, tell us about this
00:30:09incident.
00:30:13TVC news, first with breaking
00:30:16news.
00:30:22At TVs and wherever the big news stories happening,
00:30:25we're get up to aggregate. News, first
00:30:29with breaking news.
00:30:50cardinal state government believes health care is central to human capital
00:30:53development, that is why governor Ubasani has
00:30:57placed it at the heart of Kaduna state development agenda for the
00:31:01Ubasani administration. Strengthening healthcare delivery is more than a policy.