Nigeria: TVC News

20260808 09:00 UTC · 00:31:04 · 515 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

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Transcript

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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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00:29:26TBC
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.
Data courtesy of The GDELT Project (gdeltproject.org), from the Internet Archive TV News Archive. Film strip and transcript are GDELT's, rehosted here under their terms of use, which permit it with this citation.