or. when the children and i say let's just stay in england he just doesn't listen in a few days time send a real airplane and head back to birmingham his rooftop party plane will be empty again but remain a symbol of his financial success and of a life lived on 2 continents. you're watching news live from berlin and next we'll take you to cape town south africa where the. other world economic forum and my ass waiter thanks so much for joining us. on the meal and i'm going to the brand new. device the topics the success of. climate change the return of. the only reason.

hello and welcome to the d.w.p. bait of the world economic forum to our viewers watching us from home we're coming to you from the most visited city in africa cape town my name is edith kimani now according to u.n. figures by the year 2050 every 2 out of 4 people will be african that's quite staggering when you think about it that then mean that if the population is going to quadruple here but i also quadruple and what does that mean for the future of data on the continent this morning we're asking the question is data africa's new oil and i'm going to be helped to answer that by my student and i'm going to be introducing them now i'm joined by sylvia my carry on my extreme right she's the

head of geospatial technologies on the co-founder of have to analysts experienced in kenya but also joined by mr alex q who is the managing partner and chairman at kindy if you'd been to the world economic forum a few times you might have seen his face. on my right my immediate right is mr moore at sun miss he is the managing director and the head of the center for the 4th industrial revolution right here at the world economic forum host and also doubling up as a panel member thank you and last but not least france corney is the co-founder and chief executive officer of data profit based in south africa thank you all for joining us. so more it let me start with you we're asking the question is data africa's new oil why that comparison is that even a fair one. i would go a step further and say data is the oxygen oxygen for the. force and that's a revolution because if you look at the developments an artificial intelligence

particularly around 2016 with very little data we have demonstrated that we can crack the consulate is some of the most difficult challenges we face today from increasing our grid culture yields reducing energy consumption improve improving congestion and maybe accelerate to cure for cancer and data is the source for a lot of these potential developments so in our view in my view there is the oil it's probably the oxygen for the 4th industrial revolution and there's a huge potential as you say in africa we're talking about potential but france your someone who's actually already harnessing the power can you talk to me about what you do what they type of absolutely so a lot of the work that we do at that profit focuses on analyzing manufacturing data which is a really interesting field when you look at the amount of data created as manufacturing as the sectors intra sector that uses the most amount of data that it was in the

african context and shocked the way or. the manufacturing hubs across the world. from africa it's still there you're also doing something similar and have to analytics and there's an interesting article you wrote about how data is already helping us fight climate change in africa correct so i'd have to analytics what we are focusing on we worked with the wonder government and most particularly the agricultural ministry in harnessing data in collaboration with said late imageries to ensure that they have the correct information and where particular crops are being planted saw for climate change but then the data helps. countries or organization determine when to plant and when not to plant therefore avoiding west saw in that manner you trying to tackle the whole idea of climate

change and ensuring that you transcend that by using need to to make sure you making better does the shows are the right thing so if on the hierarchy of means data and the human touch which comes 1st more or less for me yeah i think they go together because with data we can really have human centric solutions. dado is not just coming from people obviously it's important but there's a potential as we heard before to harness data from things as well and if you combine things that environmentalists lifestyle data personal data would control the created data economy that benefits the people of africa and also create an environment for startups and create opportunities for young people to get into new fields alex i want to come to you now because we're talking in the context of africa these startups we're in one of the biggest hobbs' right now but these

technicians have often limited to the city or enterprise level how do we make sure that africa as a whole is enjoying the benefits. if you think about the data as a strategic asset just like oil and oxygen you've got to create it you've got to collect it and you've got to protect it and get data it is like oil what would you do if someone was taking your oil every day selling it back to you and you could protect it you can protect the pipes and i think that's the issue for africa to unlock the potential is not just finding the right best applications for the future learning from the world having the public private partnerships of morocco about but also having a sensible data framework what are the rules who owns the who decides who owns the data who prices the data who collects the data where do you stored safely and in a safe environment i think we can come to that later i think there are some areas

to deep bottleneck for africa that allows more cross border trade clear rules on data authenticating customers and suppliers and transactions and the like so there's a little bit of on this topic i think there's 2 parts of my brain optimism and there's also what there's a lot of things that need to change in order to take advantage of the some of these applications ok so let me stay with you you're saying we need a little bit of help to it when it comes to the issue of the at the moment are we applying that balance correctly and i think we need more than skepticism i think a fair amount of paranoia. you know data is a weapon. and if you don't think you own the data now you someone else owns it and if you don't collect and protected so much already have. just this past week we talked about google identifying obviously they have a conflict of interest in some senses saying i phone for 2 years had a malware that was spying on you. we have all the sort of global trade issues regarding sort of who's spying on who in terms of equipment in the technology of

the 4th industrial revolution. i think facebook just had to pay a $200000000.00 fine for allowing players bad players to sort of violate child privacy laws so the intrusion of data data is borderless and some of our laws are within countries and there's 54 countries here and in africa and as i looked at the figures in 2019 of the 54 countries only 24 had any form of formal data legislation in terms of frameworks for how to how to create collect and protect it and the rest either have draft legislation no legislation or no data so that's not skepticism it's sort of we have to get our act together as a continent in the context of the free trade agreement and the spirit of collaboration to be able to enable this cross border vision into a regional bloc that everyone wants to create the jobs and the like all right sylvia i want to come to you because the thing the data is actually going to see that it is the oxygen on the fucking dust of what you said but how do you make

something valuable that everyone has access. thank you so currently as we look at it from their head to analytics perspective aids in the african continent and most particularly african governments we have a lot of legacy technologies that do not have the potential to harness the data that is required for them to make valuable and quality disease so currently we advice anybody who wants to get into that space to to the point where they are going to analyze that data is do you want to have the infrastructure that is going to one is this data so we have to start with the infrastructure that is going to enable you to acquire the kind of detail you're going to analyze at the end of the d. then from that point is then when you decide which kind of insights you're going to

draw for you to make the kind of decisions you want to make so more outlets come to you because silver has already touched on some of the challenges in your mind one of the big ones for africa when it comes to collection and management of storage of data and i want to comment on what. and i agree with your paranoia because there's a risk that nations or continents that generate data and put it to. potential good use for their citizens and countries using artificial intelligence and deep learning will take off and there is a risk that those countries will have the data but cannot harness it because of lack of technology or don't have the data will be forever left behind so we will see a world where those countries will jump forward and others will have the potential of permanently falling behind so that's the opportunity and the challenge we have

so the idea is to really create the infrastructure to generate data and this is where technology is like 5. internet of things come into play but i think it needs to be a national strategy not left to individual companies because it's too big and if it can instrumented fields if we can instrument the oceans we can collect lot of data and improve our great culture as i mentioned oceans and health and in terms of who owns the data who makes money out of it if you look at some of the platform companies their market valuations are bigger than the g.d.p.'s of all african countries so there's value in data the question is harder it turned out into value for the owners of the data who gets to decide it so we have a theory it was actually inspired by rely i'm very musician oh and here's one i have been here yes we work with people on the panel a lot and it's a better outlook any time somebody uses my music i get residual value out of it

what can we do it for data ok we'll come to that idea in just a short 2nd but everyone seems to be talking about infrastructure france do you feel that the south african government is supporting you in the sector or are you by yourself it's it's from a data infrastructure component it's quite interesting especially kind of coming out of an african context in the sense that all of that person is actually offshore we don't have the necessary infrastructure we've got the necessary infrastructure to move data but not actually process it and so when you look at the big date is. and isn't with their web services it's with microsoft none of the senses on africa yet it's gradually that's beginning to change and as of the beginning of this year in fact marks ok has begun to rule data centers but even then it's very much focused within so they're not within a broad a context right so how do we contract ourselves in this virtual order from being

wrong data produces to being lucky does potential me. it's it's a it's a difficult thing or it's the 1st one and i agree with sylvia and his statement good earlier with we actually need to implement the infrastructure that creates a lot of the data and right now we're working all. old infrastructure which isn't producing the data in a manner that is set up for good purposes and then once you've created that almost those pipes rights or let's talk about within the oil and energy you want to create the. extraction of oil from the ground with this in this context the structure of data then you've created them on for the refinery which all these persons incentives yeah i was going to i mean there is a real world example that's being rolled out even yesterday by the regional business council the world economic forum which is called the africa growth platform so it takes morass point about taking a global platform that small and medium business and entrepreneurs in africa young

and old millennial then generation 0 or older than that like me can actually enable collaboration get some of the best tools and the like of skype and the and the founders of this consortium are very intriguing you've got alibaba then if bank we're very lucky to be a part of it as well gulberg in a few others that i don't have the names right here but i mean it's very exciting and that's something that government public private partnerships can build a platform to enable to jobs and also protect and nurture the small and medium sector which i think is the heart beat of any khan and me but especially for africa since we don't have you don't have the the global export economics that east asia had 20 years ago it's really got to be africa for africa and this type of platform taking the best the technologies and the best energies of entrepreneurs like here can make it work as a great example i think it's it's real time but i mean at the moment those platforms don't exist so the real question where x.

is where. who has it and what are they doing with it there's not much straight out the moment it. needs to be extracted and collected and it's an opportunity and right and i think data and infrastructure should be treated as electricity roads and health care like high priority strategy strategic infrastructure for the government so the potential is there that is locked up there's not much of it and that's the huge upside and there's also the downside risk and if we don't do it small medium enterprises won't be able to keep up. almost jumping in. our green totally with the idea that data don't pee right now is locked up it's in storage it's not it hasn't been built to be used by date at 1st it says it's been built for compliance perspective for it how do you mean so it's to say the insurance industry as a insurance company i need to report to some governing body as to my life but it's

right i'm going to collect just the set of data that is required to answer that question and i'm going to store it in that data warehouse with in the context of the people that are potentially rolled on mine surance product rights and that's how i've designed what data infrastructure i have and designed it to law say other enterprises or even within my own into price to consider how i can use the state to to create further value it just looked at it from a reporting perspective and it's almost when you look at data infrastructure you can see 2 mindsets and really there's an older one which centers on we're going to risk the states or we're going to store it you can always going to reference that it's not set up to interact with simply and then there's a shifting mindset towards actually data can continuously create value if you build it in a manner where you can give it the necessary context you can kind of think

a little bit wider than just the narrow compliance questions you need to answer so that brings me back to more and this idea that you have having a central place where people can trade data. yeah so i cases is that if you treat data as a commodity much like oil and allow for people to share their data or sell their data the question is how do you value the thing because it doesn't have built in value so we said what if we again taking off from what i am spawned we said how do we create value assigned value to data when it doesn't have an intrinsic value so we said how do you value coffee or oil or tea or any minerals that there's a system called commodity exchange and so we said what if we trade data but you cannot trade data because of privacy and volume so we said can we create an alternative kind of a reference and here technologies like block chain come in handy we can create a token exchange so the idea is let me give an example south africa an african

continent has a large gene pool diverse and if you can collect their bodies genetic data i think most of us would volunteer to give it free of charge for curing cancer. and but if somebody wants to build a medicine i want to have my consent asked for and i'm paid so he can touch the data and i can say if i can put on my data like music anyone wanting to use it for cancer research can use it for ever i don't want any money but for other purposes as for my consent we can actually do that technically so when somebody launches a cancer research application i'm thinking about an abstainer that is certified the data it makes itself available but if it's for drug discovery i get notified i say you can use it for 6 months and then because my data is traded at an exchange using the proxy i get paid the value for that purpose and it goes up and down and they can trace it back to me so i get paid and the finance ministers are happy

because they can tax the transaction so it creates an equitable platform and it benefits the owners of the data not just the platform companies and it also allows for startups to come in and harness the power of data and that can create a huge wave of innovation unemployment opportunities for young people i have to say i really like that idea but you're talking about never ridging privacy for data to be used you know in a bigger context right or perhaps even curing cancer but sylvia i have to ask are we prepared for this i mean i've heard it said that if the challenge was small data with privacy then the challenge for big data is safeguarding our free real that the predictive technology will be so good that i won't even know if my thoughts on mine . i don't think we yet read the for that we haven't gotten to that level yet the countries that are ready to embrace that but.

the general feeling of the eighty's you using my deed to manipulate me and that is the general feeling we have as a population while dwight and took to get to the point where we trust that someone is going to to use our data to benefit us then we have to get to a point where we trust whoever owns our data and they have to show us we obviously have a. different organization having police see and regulation that you have to to tick sometimes you you just take that policy and just stick without reading what you're sharing or just say the policy is marginal pages could be 100 pages you don't end up reading all those you you never know whether you sold your soul saw how do you ensure that you have very many more pages to read to understand that your data is not going to be manipulated or be used against you ok if this is

basically like us accepting cooking so i can start is to accept cookies long before i knew what they were to be honest i'm saying oh you know what cookies are. but when we talk about you know this concept of big data digital literacy comes into play for a population of africa as who are. sometimes trying to get on to the greed sometimes not in the chase how do you bring them on to the table in a fair way and. well i mean that you put your finger on some key structural issues in africa which is the digital divide so on the one hand there is a part of the population have that has access to global internet platforms and high speed in mobile etc and there's a large portion of has no access so if you want people to opt in on some of the business models that in iraq come in and on and provide their data and monetize it to prioritize it you have a fundamental mismatch right now in terms of the availability of all the information that could be possible. you know i think i'm going to comment it also

on this theme that it is coming through here which is the tension between data if it's available to all the population and the personalization options you want better service they know what you need the company can provide with ai techniques a better and more adaptive product line and service experience and the other hand privacy rights so do you opt in to people opt you in and the like because it has huge implications for not only your day to day life but also just democracy itself right you know in my country we talk about intrusion of the voter population if you don't have the access how do you know and you have global players who don't have the best intentions they know more about your voter population in a democracy than in the countries do i mean you have a that's a big issue for us availability of the services right now because i think the real time example of cambridge and it's a kind they will know how that would work out so this is obviously a very scary concept are we putting enough thought into this of government. do

you feel that for example sadek as a region is sitting down and collectively thinking about this issue. well we're seeing some initial policy being drafted i mean within the context of south africa we see the poppy act which shares a lot in common with in the context of g.d.p. . and it's gradually being implemented or we're moving quick enough is or is the question right it's an implementation policy it's like that and you know it's generally the sense that it's not yet kind of being will implement to eccentrics are true as in the process rather. and i think that's a general sentiment shared across the broader region is that while we know what we need to do it's a matter of seeing it implemented so we've been talking about the examples of how data can go right but what happens when we get it wrong when the analytics are not correct what happens for example sylvia when your big machine is leaning more

towards one metric and a value another can we trust that data. very good question. obviously the machines are created by the statistical model which are the machines created by humans and humans can decide to be evil or not you saw how a think or a past an easy thought also comes into play in creating these statistical models that learn over time and then they're the ones who decide which decide. what to get i but you're going to get on your feet or which kind of information is going to be short on your feet so it depends on who is creating that machine and what that intent at the end of the day it's the person creating the machine so how do we judge the ethics of rushing that's being built by an ethical person the question is who's ethics i mean within south africa i don't know if we can come up with

a common ethics framework that along or around the world and in the case of machine learning an artificial intelligence to people are not right in the algorithm it's being derived from the data so to make sure that the data is not biased it's coming from trusted source is key and we have a concept right now we cannot control the algorithms there developed by and it's called the black box problem and a lot of money is being spent on transparency so we said how do we prevent bad stuff from happening now and we looked around and we saw electricity if you touch electric wires you die. but what made electricity safe is the circuit breakers it was insurance companies of america that got fed up by paying for fire damages in early 20th century they said we need to enforce this protocol they created underwriters laboratories and the insurers told the companies if if you don't use undivided laboratories you are certified circuit breakers we're not going to insure you so it was a market force that gave us safer actors city so we have an initiative at our

center to create an equivalent we call it the ethics which by embedding ethics code into these smart devices it's quite technical it can be done and we think that's a good way to prevent bad things from happening and in this case every country can define their ethics rules and we ask for the manufacturers to conform to that and we can use insurance mechanism to enforce that so that work is underway it's not solved but it's a fundamental question is how do we ensure that we have an ethical world and who's ethics and how do we enforce that france to what extent do you think about this when you're implementing these machines you know well you know it's i mean from from my perspective when it comes down to ethics there's an interesting debate going on as to whether the human in the person is the person developing that over them it should be subscribing to something similar to the hippocratic oath that's

whether they should take it upon themselves to be ethical through that. and almost it's a little bit nerve wracking from my perspective because it's wonderful that data science as science has been quite been made very widely available through online resources but i think there should be some recognition as to the level of influence that those dates interests have upon society rights and almost go so far as to say the should be some you know coming back to the electricity analogy it's the circuit cricket but it's also the certified nutrition rights it's i can't. i'm not a certified which i cannot install plot points in my own place right. but on you know i can work with states and in fact anyone can work with that and influence outcomes right so i thought i'd like to see almost something come from the perspective of just reminding the data practitioner or them

subscribing to something to say work that you do is influential in other people's most ok so as we're looking at the data value chain at the moment to think that the cost audience a certainly not in africa the ones who are writing the algorithms the ones who are . influencing us as it were so how big is the threat of digital colonization for africa in the future. yeah well i mean i think it's it's a danger. i mean there are very powerful entities with power with information with data scientists with engineers that are thinking about how to game the system and game countries and game markets. so i think you know we have to be on sort of a red alert to be able to protect you know what you want to do put it practically in the industry and in the economy ok and it's not just a threat for africa if you look at platform companies mostly in the united states and in china and nowhere else so it is a global challenge and so if you don't act now i think we may be at

a point where it may be too late and how do we stop acting as individuals not even as government well i think government policy plays a key role in the vigils will not be able to do much on this we have the infrastructure to make it happen on our part we're working with several african governments top and center here in south africa and then one day to accelerate the policymaking and somebody asked me if this was another think tank and i said we need to be a do tank we just need to put our heads down and get going and try these new framework so now's the time to take action and it requires alex mention public private collaboration we need to have academic we need to have faith leaders we need to have start ups the young generation to be part of the solution but we just need to roll up our sleeves and start working on these engines ok we have just

about 13 minutes left for this discussion so i want to ask the question i started to be more at do you think that data is africa's new oil. the potential is there as you said the population is there their willingness is there the opportunity is there and i see the willingness from the political leaders and the business community to take advantage of that and if it is indeed the new oil how does africa protect itself from another resource. you should look at around the world no country has an advantage where at the starting point so nobody has this advantage even in china we are working closely in china as well you may think that they have a lot of data but if you look at cancer for example they say that each cancer type is a rare disease they don't have enough data genetic data out of 1000000000 plus people to cure cancer so there's a need to collaborate so no country can do it alone and i think africa does not have a time disadvantage and it has the attitude and it doesn't have the legacy of the

3rd industrial revolution so we can jump forward and really direct our resources towards that future. so we're talking about a future that your already in i mean this is your world you exist in it where does the potential life of the continent. it's it's quite in all industries i can see it's in health it's in agriculture transportation and everything else but then we have to be as i mentioned. the african governments have to be intentional if the what should be protectionism of its people then they'd be because they can be very beneficial and very fragile at the same time very volatile where someone can use it against you as you mentioned we don't want it to be another class for the continent has been for the longest time saw

governments have to be intentional and make sure that they have we have the africans owning their own data and using them using the data to solve their own problems ok france i'd like to ask you the same question where do you think the highest area of opportunity is when it comes to be data in africa so very much to work to morocco saying earlier the field is brand new roads no one has established themselves from a different. perspective as the leaders in the service there is why it's sort of opportunity. for anyone to kind of us to lock in that regard and i think within the context of africa we have these centers of excellence. and to maybe kind of give a practical view upon that the larger one of the kind of main services. web services was built in cape town so we have the tenants and with these pockets

of excellence and if we can if we can through good policy kind of groups interaction with the academic community to develop this skills base and rather the capacity to do good data science in africa i think there's a big opportunity for africa to almost step right forward into that environment right. and by the way what's been your experience when it comes to skilled labor. and we stepping up to the plate absolutely it's it's been great for us with predominantly from my employer all stop us out of this south african space right we find that a tertiary education has worked very well here is a lot of work going on on the ground the boats just uplifting also from the high school level into the data science space. is it's quite interesting just to see the different institutions busy just retooling and wrapping their mind around data science as a skill set and i'd like to ask still the same question what's the experience been

working in east africa when it comes to skilled labor. and so full our team is it's generally made up of east africa we tend to call ourselves the east african community and most of us have killed through engine from cyber security data center and from mit kind of came alone and currently kind of you melanie's based in rwanda and they're training and focusing on data science and all sorts of skills that for for their region and their training mostly the african enough we've got to make sure that we thought on problems all right so we've been talking about this you train africa if the ideal happens and the infrastructure sets up we have the policies where is the money coming from but it's coming from the innovation entrepreneurial spirit of a lot of folks that are not in this room i mean the idea is and i'm an optimist at heart if we get the data policy and regulatory framework right if we get the

commitment as a group and constituencies to real cross border digital trade if we commit to actually having a cybersecurity and raise our game approach as a continent as a set of into these government or private sector i think that if you get the platform piece done then all the innovation the refining aspect of the oil equation right all these great applications in the food sector the health sector the public sector the services sector. i think. there is an opportunity for a wave of job creation and entrepreneurship which is really exciting. i think as you mentioned i mean it's still early days and there's a lot of moving parts and what i would ask all of us as committed in concerned folks around the development of africa. the urgency urgency is really critical here it starts with awareness and i think that's building there has to be

a sense of more paranoia but then there's the specific concrete commitments on the policy side. side and nurturing the job creation piece you know we talked about the skills in asia where i spent a fair amount of time in the 1990 s. i saw a lot of parallels but all this opportunity but there was much more coke on education at the state of the stem science levels and i think that needs to be picked up. that's another ingredient we didn't talk about as much you know sort of a core educational skills development to be able to enable the entrepreneurship to enable the data analytics start ups and new business is up there and some of them are great ideas i wish i could invest in some of them already but there's a lot to do and you've got to be realistic about that in we have to pick up our game as a collection and as individual companies and industries do you think africa is ready. it's getting ready i can't speak for africa i'm concerned that or i would be concerned that you have such

a complex africa is not one country right it's not one coordinate there's so many issues and i like. but getting ready is is the game and i believe in the underlying fundamentals of the economy and the people. but there needs to be some very specific interventions on the data data policy side more act you have another fascinating idea which is beyond capitalizing on data and i aimed what is that about so we were talking to japanese governments the concept of a of marketplace is something we're implementing in japan because it's a necessity for them and then we talk about countries like data and how do we support them and right now if you look at a lot of aids or aid for development countries it's in the form of infrastructure and we thought why don't we creates data as an aid mechanism and open up a country's dataset maybe japan can open up their data to other countries so that

they can benefit from their use of their data and develop machine learning solutions for the benefit of their citizens and small medium enterprises so think of it as artificial intelligence for a as the countries are developing their data infrastructures which we think they should but some countries may not be as big as nigeria or kenya or south africa they may not have the data. and so what are you doing what do we do as a global community do we leave them for ever behind so we develop this idea of for aid and opening up data pools for these countries to be able to use in their own economies so it's a concept it's gotten a lot of support from a number of countries including japan and india and as we made infrastructure for the state a marketplace concept we can open up their data pools for specific purposes for other countries and i think we can deliver it much faster than traditional infrastructure projects and there's a lot of support for that ok so we are how does this sound to you is this

a concept that you would buy into i feel like fighting with but is fine. it's a concept that is really necessary if those countries own their own data and as translated we have to develop our own. the a.w.l.'s as of this world they are based in africa for africans otherwise our detail will never be in the continent forever so it's a good idea as long as bad based in the african continent and controlled by the africans could you potentially see africa being the one to deliver the data as opposed to receiving it if the training is focused on the african continent by having the skills the skill transfer to the africans who will be able at least

to drive these idea then i feel like it to be a very. good thing to look at so we agree we have. ok we have 2 minutes left and i just want to ask my panelists to all of you just tell me what you think the future of africa when it comes to data and what we can do to harness the power that will start with you alex that will work our way to sylvia or as i said beginning i think there's 2 parts of the brain that you have to keep in balance one is the opportunity side if one gets early days in terms of the implications of the 4th industrial revolution do i think there's some great leap frogged applications for africa in all the sectors that are relevant small and medium innovation the rural sector making that more productive the fin tech sector it's already an area which is a highly mobile payment and a tray should know how do you can you know extend that to the female and under represented populations in all of the economic potential of africa so i'm very optimistic on the applications of data analysis targeting against certain

applications doing great things for for all the groups of society. and on the paranoia and urgency side i think there are sensible things policy steps to move forward there that are not impossible to achieve and if there's commitment. so i mean i think kind of almost doubling down on the option to that exists to participate in to the science in a global level. kind of this group is this creates space. open up to africa from a job opportunity rights and culture and it's where we participates within africa but also locally and the takes a bit of can focus within the context of training up to the science but that space exists not on us and i think in the future if we drive towards that environment we can do a lot of work towards bringing africa forward and probing

a lot within the context of science that's kind of talking to the point. the mobile networks africa from the perspective. you like to think leaves a lot of the thinking at ron burkle banking you know just because we've actually stepped straight into the mobile networks business because of the caucus because right now we get to more access than we have because we're running out of time there's no role model for this it hasn't been done before and i think it's time for africa to act now if we don't it may be too late so the opportunity is there and i sense of urgency to get going so again. i would say a lot of intentional thinking our own base and skills development to make sure that the african continent especially the african governments are focused on making sure that the problems they need to follow are about intentionally using data thank you very much to the panel thank you to the audience right here and of course to those

of you who are watching us from home and online thank you tuning in. thank you thank. you. so you'll want to save on the rings why not move here to barcelona the 1st just $200.00 euros a month. so what's the catch. the only 3 square meters. deep insight into europe's housing crisis.

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177 percent to talk about the issue stock market goes from one point to teach to flash from causing people to time this is where it up. welcome to the 77 percent. this weekend b.t.w. . the for. this is g.w. news and these are our top stories in the us the leading democratic presidential candidates are facing off in the 3rd televised of it being held in houston texas former vice president joe biden and progressive senators bernie sanders and elizabeth warren are among the front runners.