g.w. debate at the world economic forum and much later come july from berlin we'll have more for you at the top of the hour thanks so much for watching. the be. the best. and the bar and we'll come to the brand new delusion on the best of both the topics of the such as the banana tree the return of the us the only reason the best.

hello and welcome to the d. w. debate at 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 cumani now according to u.n. figures by the year 2050 every 2 out of 4 people will be african now that's quite staggering when you think about it does that then mean that if the population is going to quadruple here that our data will 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 panel 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 expats in kenya but also joined by mr alex knew who he. is

a managing partner and chairman at 80 kearney if you've 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 ms he is the managing director and the head for 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 corneas is the co-founder and chief executive officer of data profit based in south africa thank you all for joining us. so more of 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. for the. 4th and us 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 potentially do 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 or 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 it created as manufacturing as the sectors and sectors that produces the most amount of data rich but within the african context in fact the way for growth. is you launch a new 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 one is seeing the 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 that then the data. countries or organization do timing when to plant and when not to plant therefore are waiting west saw in that manner you are trying to tackle the whole idea of climate change and ensuring that you transcend that by using beater to to make sure you're making better does the seans are the

right time so if on the hierarchy of new data and the human touch which comes 1st. mora that's where you for me i think they go together because with data we can really have human centered solutions and data 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 environment their lifestyle data personal data would control that create a better economy that benefits the people of africa and also create the 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 weigh in one of the biggest hogs right now but these tech initiatives are often it's said to be the 6th 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 could 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 partnership set me back talk 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 why there's a lot of things that need to change in order to take advantage of to. applications ok so let me stay with you you're saying we need a little bit of depth when it comes to the issue of data 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 protect it someone already has. 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 right we have all the sort of global trade issues regarding sort of who is 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 as i look 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 cope how to create collect and protect it and the rest either have draft legislation no legislation or no data so that's it'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 intra regional bloc that everyone wants to create the jobs and the like all right sylvia i want to come to you because they think that they have actually gone as far as saying that it is the oxygen on the fucking duster 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 there have to analytics perspective is 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 what we advice anybody who wants to get into that space to to the point where they are going to analyze the 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 he's 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 sylvia 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 are imported 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 and 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 technologies like 5 g. and 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 we can instrument to fields if we can instrument the oceans we can collect a 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 how to return that 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 wow. here's one i have been here yes we work with people on the panel and they said their 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 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 a dead person is actually we don't have the necessary infrastructure we've got the history infrastructure to move data but not actually persis it and so when you look at the big data. and with their web services it's with microsoft none of the senses on africa yet it gradually that's beginning to change and as of the beginning of this year in fact marks up has begun to build 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 on to from being wrong data produces to being lucky does potentially. 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 or. old infrastructure which isn't producing the data in a manner that is set up for a good person and then once you've created that almost those pipes right all that's talk about within the oil and energy you want to create the. extraction of oil from the ground was in this context the structural dates and then you've created the demand for the refinery which all of these processing centers 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 it's and and the founders of

this consortium are very intriguing you've got ali baba and if bank we're very lucky to be a part of it as well dahlberg in a few others and 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 con and b. 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 of 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 what is where. who has it and what are they doing with it there's not much straight out to 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 it 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. you know almost i'm jumping in. our green totally with the idea that data don't play right now is locked up it's in storage it's not it hasn't been built to be used by data purses right it's been built for compliance perspective for it how do you mean so let's 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 without any context all

of the people that are potentially rolled on mine sure it's product rights and that's how i've designed by date infrastructure i haven't designed it to law say other enterprises or even within my own interests to consider how i can use the state to to create further value it just looked at it from my 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 going to risk the states that 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 to answer so that brings me back to more ads and this idea that you have having a central place where people can trade data. so i cases is that if you treat

that 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 taken off from what i am spy and 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 a coffee or oil or tea or any minerals that there's a system called commodity exchanges so we said what if we trade data but you cannot trade that of because of privacy and volume so we said can we create an alternative kind of a reference and here technology is like block chain come in handy we can create a token exchange so the idea is let me give you an example south africa an african continent has a large gene pool diverse and if you can collect there by these 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 app store 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 done because my data is traded at an exchange using a 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 transactions so it creates a 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 and employment opportunities for young people i have to say i really like that idea but you're talking about an averaging 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 for small data was 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 are mine i don't think we yet radio for that we haven't gotten to that level yet the are countries that are ready to embrace that but. the general feeling of the population ease 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 exe 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 poli sci and regulation that you have to to tick sometimes you just check that policy and just stick without reading what you're sharing or just say the policy is marginal pages could be $100.00 pages you don't end up reading all those 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 cookies liking status to accept cookies long before i knew what they were to be honest i'm still writing 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 onto the grid sometimes not literate how do you bring them onto the table in a fair way alex. 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 and 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 murakami 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. i think i'm going to comment a bit 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 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 of that's a big issue for us availability of the services right now but the thing that real time example of cambridge and it's a kind they will know how that could work out so this is obviously a very scary concept. are we putting enough thought into this government run do you feel that for example cedric as a region is sitting down and collectively thinking about this issue. 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. or. and it's gradually being implemented or we're moving quick enough is or is the question rudd's implementation policy is like that and you know it's generally the sense that it's not yet been well implement eccentric search rules in the process rather. and i think that's a general sentiment shared cross 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 undervalue 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 nice saw how a person needs also comes into play in including this statistical models that learn over time and then they're the ones who decide which decide. what to get but you're going to get on your feed or which kind of information is is going to be short on your feet so it depends on who is creating that my scene and what that intent he's at the end of the be it's the person critique the machine so how do we judge the ethics of rushing that's been 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 let along around the world an indication of machine learning an artificial intelligence the people are not writing 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 and right now we cannot control the algorithms they're developed by and it's called the black box and i problem and a lot of money is being spent on transparency so we said how do we prevent that 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 the early 20th century they said we need to enforce this protocol they created under a right of average salaries 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 dr 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 purse 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 a 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 data scientists have upon society right and almost go so far as to say the should be some you know coming back to the electricity analogy it's the circuit breaker but it's also the certified nutrition rights it's i can't. i'm not a certified electrician i cannot install what points in my own place right. but you know i can work with states and in fact anyone can work with that and influence outcomes right so 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 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 individuals 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 one that 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 requires as alex mention public private collaboration we need to have academia and we need to have faith leaders we need to have startups 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 of 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 that 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 curse. if you look around the world no country has an advantage we're at the starting point so nobody has this advantage even in china we are working close 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 luxury 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 whereas the potential life of the continent. it's it's quite in all industries i can see it's the same health culture 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 let it be because they can be very beneficial and very fragile at the same time very volatile when someone can use it against you as you mentioned. we don't want it to be another class for the continent as it's been for the longest time i 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. i'd like to ask you the same question where do you think the highest area of opportunity is when it comes to big data in africa so very much to work in iraq was saying earlier the field is brand new roads no one has a starter some so from a kind of different. perspective as the leaders in the space there are is why it's sort of opportunity. for anyone to kind of this 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 on that the larger one of the kind of main services out of business web services was built in cape town so we have the tenant and we've got these pockets of excellence and if we can if if we can through good policy coots interaction with the academic community develop this skills base and wrought

with that 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 and by the way what's been your experience when it comes to skilled labor. i was stepping up to the plate absolutely it's it's been great for us with predominantly from my employer all the stuff that's out of this south african space right we find that a tertiary education has worked very well here there's a lot of work going on on the ground of boats just uplifting also from the high school level into the data science base. is it's quite interesting just to see the different institutions busy just returning and wrapping their mind around data science as a skill set and i'd like to ask silver the thing question what's your experience been working in east africa when it comes to skilled labor. and for our team

it's generally made up of east africa we tend to call ourselves the east african community and most of us have through engine from cybersecurity data sans and from mit kind of came alone and currently kind of. based in rwanda and their training and focusing on data science on skill sets for the region and they are training mostly the africans enough we got to make sure that we saw on problems all right so we've been talking about this here chain africa if the ideal happens and the infrastructure sets up we have the. where is the money coming from well it's coming from the innovation an 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 teams government or private sector i think that if you get the platform piece done then all the innovation and the refining aspect of the oil equation are 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. 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 a 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 skill but there was much more a focus 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 core educational skills development to be able to enable the entrepreneurship to enable the data analytics start ups and new businesses out 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 it's 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 in a light. but getting ready is the game and i believe in the underlying fundamentals

of the economies 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 capitalize on data a i am what is that about so we were talking to japanese governments the concept of a of market place is something we're implementing in japan because it's a necessity for them and then we talk about countries who lack data and how do we support them and right now if you look at a lot of 8 or 8 for developing countries it's in the form of infrastructure and we thought why don't we create 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 do you do it what do we do as a global community do we leave them for ever behind so we develop this idea of ai 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 relayed infrastructure for just that a marketplace concept we can open up their data. as for specific purposes for other countries and i think we can deliver much faster than traditional infrastructure projects and there's a lot of support for that ok sylvia 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 run seed we have to develop our own. the a w s's of this world they are based in africa for africans otherwise our data will never be in the continent forever so it's a good idea as long as they 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 these 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 agree. 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 is for 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 you think it's early days in terms of the implications of the 4th industrial revolution but i think there are some great leap frog applications for africa in all the sectors that are relevant small and medium innovation the rural sector making that more productive than tech sector it's already an area which is a highly mobile to. 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 if there is commitment. so i mean i think kind of almost overnight on the opportunity that exists to participate in to the science in a global level. kind of this is great as the scripts space. open up to africa from a job opportunity rights are important opportunity with the participates within africa but also globally and the takes a bit of can focus within the context of training up to the sons 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 frogging a lot within the context since that's kind of talking to the point on the mobile networks africa from that perspective. like think leaves

a lot of the thinking around but banking yeah just because we've naturally stepped straight into the mobile network space as opposed to the kopassus all right let me get 2 more items that 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 solve our part about intentionally using data. thank you very much to the panel thank you to the audience right here and of costs to those of you who are watching us from home and online thank you for tuning in.

thank you thank. you. and. the w.c. talk show strong opinions clear positions from international perspectives beijing is taking a toll stands on pro-democracy protests in homecomings its economic influence is growing dramatically and it's boosting its military from cities so is china striving for global supremacy to find out from so the point she will flee. to the front. page been told.

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this is d w news coming to you live from berlin at the top democratic presidential candidates face each other for the 1st time. i know what screw up and i know how to fix it and i'm going to lead the fight to get it done leading democratic presidential hopefuls clash all the health care education and climate policy but who's got what it takes to defeat donald trump in 2020 also coming up the harsh consequences of demonstrating for democracy in hong kong we meet a young man going on trial after.