The basis of structure, of life, and of mankind Essay Example for Free

The premise of structure, of life, and of humanity Essay Each and every type of life on the planet is made and constrained by a compound formula, a substance code comprising of a huge number of guidelines in each and every cell, the premise of structure, of life, and of humankind. Who, what, where, when, how, and why, are on the whole inquiries which for a considerable length of time have stayed unanswered. They requested a phenomenal measure of expertise, time, and exactness from people the world over to be vanquished to our present degree of comprehension. Numerous revelations have prompted the disclosure of hereditary qualities. In 1895, Wilhelm Roentgen, a german physicist, unintentionally found x-beams, while examining cathode beams in a high voltage vaporous release tube. This denoted the start of a long arrangement of investigations and analyses, in the end prompting the disclosure of DNA. After a year in 1896, Antoine Becquerel, this time a french physicist, found through experimentation and perception, the breaking down of electromagnetic beams (x-beams, and gamma beams), otherwise called radioactivity. He was watching the component uranium and saw that it could darken a photographic plate despite the fact that the last was isolated by a sheet of glass and paper. Becquerel additionally saw that the beams were fit for emanating charge caught by an electroscope, which indicated they had an electric charge as well. Becquerels thought was reformed in 1898 by Pierre and Marie Curie who recommended radioactivity happened because of the structure of molecules. Max Von Laue at that point found x-beam diffraction in 1912, which was, not long after, numerically deciphered by Lawrence Bragg by examining the distinctive diffraction designs made by x-beams when they go astray from their unique ways, because of firmly dispersed particles in the precious stone. Bragg didnt accept that Laues hypothesis was right in detail. He hence did various analyses and closed by utilizing the now basic Bragg law. This subtleties at what points x-beams will be most productively diffracted by gems when the frequency and separation between the precious stone particles are known. One renowned researcher who had a huge impact in the movement towards the disclosure of DNA was Maurice Wilkins. Cooperated with Rosalind Franklin, both x-beam crystallographers, their examinations included breaking down DNA gems and diffraction. They found that the sugar-phosphate spine of the DNA atom is available outwardly of the particle and furthermore found the fundamental helical structure of the particle. The last advancement came in 1953, when Francis Crick, and James Watson (Wilkins was additionally a main supporter) authoritatively distributed their model for the structure of DNA. They found how data, administering heredity is conveyed in the chromosomes of human cells (DNA), consequently deciding physical improvement in each and every phone of the person. Methodology have developed significantly further from that point forward, which shows how much science can advance throughout the years. What starts as a little hypothesis can definitely change into a huge logical upset, transforming they way we would have recently imagined thoughts. HUGO was set up in the year 2000. This association includes the absolute best researchers from everywhere throughout the world and the innovation of supercomputers and apply autonomy additionally, and was set up initially in an offer to figure out the hereditary code. This happened on the 26th of June 2000 and now gives the outline to all human life. On account of all the commitment of those researchers over hundreds of years, numerous thoughts recently considered as silly are being reexamined. Who might accept, for example, that a genuine living creature could be cloned utilizing another creatures DNA? It might have taken researchers more than 250 endeavors to clone Dolly the sheep, yet they prevailing at long last. Might it be able to now be viewed as conceivable to clone a dinosaur? It could happen, in spite of the fact that the chances of recovering solidified, protected, living cells are extremely thin. Another thought would should locate a firmly related female living species for the cloning to work. A difficulty? Maybe not! New innovation got from such logical examinations currently empower increasingly powerful clinical medicines to be made, and furthermore could help annihilate acquired maladies, for example, downs disorder or a few types of malignancy, giving individuals a superior personal satisfaction. Late developments are GM harvests, and human cloning, over which there is a lot of debate. We don't yet have the foggiest idea what detriments could happen in the event that we meddle with the compound code forever. For all the points of interest, for example, empowering yields to become dry season safe, making decaffeinated espresso plants, and expanding ailment and bug obstruction, just as possibly later on having the option to reproduce a creature or individual whom has passed on, or having the option to pick how your infant will look, there will undoubtedly be inconveniences. Late exploration proposes that sickness invulnerability diminishes impressively in a cloned creature, than a typical creature. With such entangled and good issues, the issue of religion must be thought of. It can in some cases be seen that science today is dislodging the perspectives on religion. For instance it is accepted that god made humankind. With proof, for example, the abovementioned, it unquestionably questions the unwavering quality of religion. I accept that both religion and science is significant. Mankind is everlastingly needing answers with regards to what they dont know. In any case, the measure of confidence in religion is by all accounts declining because of individuals needing proof to help explanations. No longer will they acknowledge a thought as a protect in light of the fact that it is expressed in the good book, they need to know why it is so. Its appears to be more individuals need to accept enchantment be that as it may. Perhaps it is on the grounds that science is so firmly identified with enchantment and is in itself a kind of hocus pocus. It is a technique for clarifying why something happens in spite of our restricted information and incredulity and doesnt need trials to explain it. In the past it was thought to repudiate the holy book, however, it is another side of science which simply should be investigated. Previously, it was accepted witches invoked enchantment. We currently realize that it is the planet earth which evokes enchantment which is standing by to be revealed. By and large, it very well may be presumed that science has advanced drastically throughout the years. It is an enchantment which is endless and which will never stop to be examined. It is an elective perspective on world, which advances regular and which, much the same as religion or enchantment, achieves up to this point incomprehensible marvels. Science is continually being changed and is starting to be seen by numerous individuals as another religion, which is steadily unfurling the secrets the universe wins.

Evaluate the strengths and weaknesses of youth justice policies in England and Wales since 1997 Essay Example for Free

Assess the qualities and shortcomings of youth equity approaches in England and Wales since 1997 Essay Presentation At the point when Labor got to work in 1997 they asserted that they would pummel wrongdoing and the reasons for wrongdoing. The initial a half year were remarkable, with six discussion archives being discharged on youth and wrongdoing each containing its own recommendations these were first distributed in Tackling Youth Crime, Reforming Youth Justice (Labor 1996). To begin this exposition I will initially examine Labors 1997 White Paper, No more reasons: another way to deal with handling youth wrongdoing in England and Wales, where approach was spread out and afterward enacted in The Crime and Disorder Act 1998. From this I will assess the shortcomings and qualities of the different components of this strategy which will incorporate the points of the adolescent equity framework. At that point in the subsequent part move to assess the cancelation of the doli incapax, the reparation request and child rearing request. Thirdly I will assess the kid security request, neighborhood youngster check in time, last notice plot, activity plan request. The fourth part will be an assessment of the detainment and preparing request and new game plans for secure remands of 12-multi year olds. Lastly the foundation of the Youth Justice Board for England and Wales, Youth Offending Teams and the obligations of the nearby specialists and different offices to ensure the accessibility of the suitable youth equity administrations. And afterward at long last unite every one of my discoveries to create a reasonable and far reaching resolution; which I accept has numerous qualities and a few shortcomings. The Labor governments 1997 White paper, No more reasons: another way to deal with handling youth wrongdoing in England and Wales is a report which sets out works program of change for the adolescent equity framework in England and Wales, it points are an unmistakable methodology to forestall culpable and re-irritating, that guilty parties, and their folks, face up to their culpable conduct and assume liability for it, prior, progressively powerful intercession when youngsters initially outrage, quicker, increasingly productive techniques from capture to sentence, organization between all adolescent equity offices to convey a superior, quicker framework Home Office (1997). As indicated by the Home Office (1997) the point of the adolescent equity framework is to forestall affronting by youngsters. What's more, the Crime and Disorder Bill has in it a prerequisite that it is the obligation surprisingly working in the young equity framework to maintain these. The necessity covers all the adolescent equity offices in England and Wales like the police, social administrations the probation administrations and others working in the Youth Offending Teams, the Crown indictment administration, barrier specialists, the jail administrations and courts and the manner in which they manage youthful grown-ups. The case is that this will give solidarity between them all and that everybody is taking a stab at a similar reason. The administration will likewise supplement this with another proposition for another Youth Justice Board for England and Wales who will offer guidance on the most proficient method to set norms and how to screen execution. Additionally this won't dominate or override experts past jobs, yet will bolster them to comprehend their activities and decisions when they manage youngsters this can assist with halting culpable and can forestall avoidable deferrals, for example, the odds of culpable when anticipating sentence can be decreased, likewise making youngsters answerable for their own practices which can assist adolescents with comprehension and change their practices. Likewise people group and custodial punishments whose needs are on the reasons for culpable which can be implemented can help. This obligation that has been expressed is a reasonable quality getting the different organizations and administrations a similar line and having one away from of what the assignment ahead is th is likewise takes out any disarray that may have existed. The administration as indicated by the Home Office (1997) recommends that a point of youth equity framework and the obligation talked about already and their experts would be upheld by progressively complete, non legal destinations for these offices. These would bolster the recommendations made by Jack Straws Youth Justice Task Force which is an assortment of individuals and gatherings that have a high information on the framework and have now issues of casualties and delegates of the administrative divisions. The Task Force expressed their proposals for forestalling irritating which were, an expedient organization of equity so the charged issue can be sifted through rapidly, standing up to wrongdoers with the outcomes of their activities, for themselves their families, casualties and their networks. Discipline which mirrors the reality and the tirelessness of the culpable. Likewise to help reparation to casualties by the guilty parties and to fortify the obligations of guardians and to assist wrongdoers with fixing their issues and to manufacture a feeling of the individual self. This is additionally quality as completely included have a decent information on the issues and the framework and would be a decent asset to the framework to have. And furthermore what the Task Force has suggested is additionally a decent advance forward as it is these that have prevented the framework from being proficient. Moving onto the cancelation of the doli incapax the reparation request and child rearing request. The doli incapax as indicated by Muncie (2009:275) In England and Wales, kids less than 10 couldn't be seen as blameworthy of a criminal offense, and the law for a long time accepted that those under 14 were unequipped for criminal plan. In any case, during the 1990s the doli incapax, which had been in the law since the fourteenth century, was being tested by both the privilege and the left. This was because of the Bulger case, the arrangement was put under audit by the traditionalists after the 1994 High Court administering. After three years it was canceled in the Crime and Disorder Act, the reasons given for this were with the goal that they could convict youthful wrongdoers who unleashed devastation on networks this depended on the way that they accepted that 10 and multi year olds could fit for knowing among good and bad. This was against what the UN had suggested for The UK which they had made in 1995 then 2002 to come in accordance with the remainder of Europe yet the legislature went absolutely the other way. They provided no guidance to the courts and to the adolescent culpable groups that general youngster government assistance is the principle thought. This is a shortcoming as it repudiates what Labor had said in there White Paper, and the way that the YOTs would be mistaken for clashing strategies. This enactment oversees not to contemplate the childs age and this can be seen just by taking a gander at the remainder of Europe are the youngsters in the UK not the equivalent. The reparation request is for youthful grown-ups to comprehend the expense of their moves and to make duty regarding them. What is asked is that they fix the harm caused legitimately to the casualty through intervention on the off chance that the two of them concur or to the network in a roundabout way tidying up spray painting and different undertakings around the network. This would be overseen by the YOT, this can be a genuine quality in the recovery procedure giving something back to the people in question and the network and having the option to see the harm they have made helping completely change themselves around. Additionally the child rearing request which has been expressed by the Home Office (1997) to be made with the goal that it can offer help to guardians so they can control their kids. The request requires guardians go to an advising or direction meeting once every week for 3 months and on the off chance that the courts believe that it is required, at that point a prerequisite to ensure that youngsters go to class and to see that they return home on a specific time. This is likewise a quality as it powers guardians to be mindful as certain guardians let their youngsters would what they like to thus this is a decent method of making guardians act so they can help their kids from culpable. Presently moving onto the kid wellbeing request, which as indicated by the Home Office (1997) has been created to defend youngsters who are under ten where there is chance that these kids will be engaged with wrongdoing or indications of hostile to social conduct can be seen. This could be accessible to neighborhood experts in the family continuing court. A court would have the option to make a kid remain at home at a specific time or restriction them from setting off to specific spots. They could likewise stop certain practices like truanting; this could likewise be joined with a child rearing request. Also, on the off chance that these are not complied, at that point the neighborhood authority can begin procedures. The quality of this is a the blend of the two requests as it very well may be best along these lines by giving obligation 2 both parent and youngster giving most extreme outcomes. At that point there is the Local youngster check in time which is for the Childs own great and to stop neighborhood wrongdoing and turmoil and states that kids ought not be out without oversight around evening time. This can be utilized by the neighborhood specialists and police yet they would need to get authorization from the Home secretary. Additionally the gathering could then ban youngsters under 10 from certain open places after specific occasions. These can keep going for as long as 90 days and in the event that these are to be broadened, at that point police and nearby network. The quality of this is it includes the neighborhood network so deciding whats best for the individuals from t heir own locale. At that point there is the last admonition where the Home Office (1997) has supplanted the advised with a sculpture police censure, what happens is that the police can choose to denounce a kid and give them a last admonition or to carry criminal accusations to the guilty party. What at that point happens is a network mediation program is constrained which makes the guilty party and his family address the causes this conduct which can help take care of the issue. What the last admonition involves is that the primary offense the guilty party can get a censure by the police on the off chance that the wrongdoing isn't unreasonably genuine and in the event that it continues, at that point an another last admonition or criminal accusations can be squeezed. Be that as it may, on no grounds must 2

Interview with Martin Hack (founder of Skytree)

Interview with Martin Hack (founder of Skytree) INTRODUCTIONMartin: Friends of Entrepreneurial Insights, this time we are in  San Jose. Its very close to the German Oktoberfest and thats why we are interviewing a German entrepreneur here in the  Silicon Valley. Martin from Skytree, who are you and what do you do?Martin (Skytree): Hi. Thanks, Martin. Thanks for having me. Im Martin Hack, Im the CEO and co-founder of Skytree. Were a machine learning company in the big data space and were focusing on making predictions.Martin: Great!Martin: I mean you have a great weather here. So what would be your prediction for the next days?Martin (Skytree): Since its  California, its going to be nice because we really have nothing to worry about that.  We have about 240 sunny days a year here, so in a way, nothing to worry about on that front.Martin: Great! How did you come up with this idea of Skytree?Martin (Skytree): Yes, so eventually this is my first company where I was the founder. I did a couple of other startups in the past, worked at bi g companies that would last for 25 years. I started out in Europe and then came to the  US,  15 years ago.About 3 or 4 years ago, I started to see that theres a more and more need of a big data that wasnt here before. People started talking about big data. But really, the insights, how do we get the insights from all these data thats out there, it was pretty clear that there was still a missing link essentially.A close friend of mine, Alex Gray, which I had known for 15 years, we stayed in touch over the years. He was a professor for machine learning at Georgia Tech. We got together about once a year. We started talking about 4-5 years ago, what would a company look like, what could be used. We thought all of the really important applications for that. Ultimately, we decided to take the plunge and started a company which was about 3.5 years ago.Martin: Great!BUSINESS MODELMartin: Can you explain briefly what Skytree really does?Martin (Skytree): Sure. So, were essentially an enterpr ise software company. We’re selling software in the cloud and on the premise, for being massive scale machine learning on big data. So that could be anything from making a prediction, making recommendations, finding outliers, finding patterns, those are usually the use cases where people use machinery for it. We provide the software in the services for a customer for that.Martin: Do you also have third party applications that you are selling on your platform or everything is developed by yourself?Martin (Skytree): Everything is by Skytree. We worked with a lot of the Hadoop partners out there, so we worked very closely with the 3big Hadoop vendors, theyre all partners and friends of ours. Its very much big data ecosystem nowadays. Its very hard to do it for one vendor alone. So we have a very good partner system out there and Hadoop vendors are very near dear to us.Martin: Do you have a technology developed that you can apply to several problems or did you adjust those kind of tec hnology and developed singular product?Martin (Skytree): Its essentially a platform, so there are multiple use cases for that, with what we call a vertical approach. Some of those areas are for example, in financial services, anything from fraud detection and fraud prevention, thats a big use case. Another one would be around risk scoring, credit scoring. And another one would be around marketing and targeting, so who should we essentially market to. Those are the very common ones.Other ones are, around what we call predictive maintenance, predicting when a  third parts are about to fail. Think about cars, think about energy transformers, think about utility, sometimes multi million dollar units. If you can predict something before it fails, thats a great asset to have at their disposal. So those are the things were working on with our customers.Martin: When you started the company, how was your go to market? How did you try to acquire some customers? Did you start with one product and then just acquire a specific subset of the customer that you have currently or how did it work?Martin (Skytree): So for us, we were kind of in a fortunate position because we were still in stealth mode. We had no website, no phone number, but we had customers.Martin: Why?Martin (Skytree): So how did that happen? There was such a demand for the technology that people through rather obscure channel find out about us and said, we want to work with you, can you get in and help us. So those verticals are the ones I already mentioned, financial services, retails, and insurance companies. The go to market was kind of already planned out for us without us even doing anything. We enforced that and grew the customers base in those verticals. But ultimately it wasnt really a solution trying to find a market, the market was already there and asked, Okay, can you help us.With the big data environment exploding in most of these customers, and these are all Global 2000 customers. So these are the biggest brands, the biggest companies out there who have essentially the need to do those kind of computation analytics. For us it was a perfect match so to speak, because we had something that they wanted and for us, we focus and tailor offering around those kind of applications.Martin: Did you get to know this kind of first time customers before you started or did it just happen accidentally getting to know them?Martin (Skytree): I think it was both eventually. I mean, some of them came through networking where we knew, I mean theres only a limited number of customers that would buy that initially and we knew in Global 2000 list there are the 50 biggest banks, the 50 biggest investment banks, the 50 biggest retail banks and so on. So we knew who they were and its a rather closed community at that point. And then you would ask for introduction or we already knew somebody there. So usually you get the snowball effect or the net effect, and then ultimately if the number one in th at industry is using your product, number 2 and 3 and 4 probably want to use very quickly thereafter because they realize theyre missing out in the market.Martin: This B2B market segment, one of the major problems is really identifying the key decision maker. How did you identify those people?Martin (Skytree): Thats ultimately the challenge of any kind of sales, environment enterprise sales is somewhat a combination of art and science to a certain degree. You just have to essentially figure out who is the economical buyer, who is the technical decision maker. And that might vary. Theres not one size fits all. Its not always the same person who makes the decision. It could be literally across the board and some organizations, you might have 5 people who have to say yes before theres a purchasing decision.That part is essentially of the engagement, you have to essentially figure those things out with the customers. The most important thing is that you have a sponsor upfront that actua lly says, Yes, I believe in this technology, this is going to get us to the next phase where the customers want to be. And it has to be value. If theres no value, nothing is going to happen.Martin: Right.CORPORATE STRATEGYMartin: Martin, in terms of corporate strategy, what is the competitive advantage of Skytree?Martin (Skytree): I think the technology part which is ultimately driven by the people. The people who we have in the company, how we started out, what we have right now, are the ultimate differentiation for us. In our engineering department, we have about 92% PhD. A lot of the guys that created and invented those algorithm worked for us, or we work very closely with them. So we already kind in a way, the folks who did a lot of the machine learning thats out there today. So we came up with it.In other words, one of the big factors for us early on was essentially the people that weve evolved with. Not just on the hiring side, but also the partnerships, we have a massive part nerships with the university networks out there. In a way Skytree, we are kind of curators between academia and the industry and we put a huge focus on hiring essentially the best in machine learning. Thats what we have done.I would say, if its only one thing that differentiate for us, its the people inside the company and the people that we work with, that allows us to build an environment and a system thats pretty hard to beat in the market place.Martin: What have been you learnings from working with those university institutions?Martin (Skytree): I think it started out with us, because we have a lot of academics that started the company. So we were kind of thrown into that already. So it was a natural fit for us and I personally was very positively surprised because essentially whatever you work with, you get a very high level right off the bat. When you work with universities out there, with very clear goals, very clear targets around the objectives they want to accomplish. And theyre usually the folk leader in that space. So they are, that university or that professor that came up with something,  we work with them. That makes it a very nice partnership for us and at the same time, many times we recruit directly from those universities. Getting their master or PhD programs.Martin: Great!MARKET DEVELOPMENTMartin: In terms of market development, can you give us a broad overview of how you perceive the current market development and predictive analytics?Martin (Skytree): I think its not just so much about predictive analytics around big data and predictive analytics. So I would say big data certainly is at a certain hype level that is hard to beat at this point. Its definitely out there. People are using it. But people are now looking to hear whats the next thing after big data? If SaaS and Cloud was in maybe 4 -5 years ago, big data certainly happening now and whats the next thing.We believe machine learning, specifically predictive analytics is going to be huge part of it because thats the thing that allow us to gain insights in what we call actionable insights from the data. So you might have a data lake, a data hub, whatever it is, now how do we get to the next level, which is the insights.So predictive analytics and machinery is going to play a major role. To our point is  where well live in the next 5 years every Fortune 500 is going to have a machine learning system at their disposal. But its in their cloud or in premise, but they are going to use it because its the next logical thing after BI, Business Intelligence. Business Intelligence has been around for 25-30 years. People want to go, whats the next thing. How do we go from looking at yesterdays data at predicting whats going to happen to a business tomorrow. And thats really machine learning and thats where the journey is really going.Martin: What would be your forecast? Would it be more each and every company develops their own predictive analytics tools or is there so m uch economies of scale when some sell product like you also, develop a tool and sells it to all the other companies?Martin (Skytree): It will always be companies out there who want to do their own thing. There’s nothing wrong with that and open source is a great example of that. If you look at Linux, its everywhere, people are using it and its a great success story.However theres also going to be a maturity of the market that just want to  use the system. A great analog to that would be, a relational database 25-30 years ago. People asked why they need a database. Today nobody would ask that.While you can still build your own machine learning system yourself, potentially most customers just say, Hey, can I have a system that can do the same thing what these guys are doing? We think thats to your point, economic of scale, its going to ultimately probably succeeded in the market because its just much easier to deploy, to manage, to use, and to support ultimately. That where we see t he market is going right now.ADVICE TO ENTREPRENEURS In San Jose (CA), we talked with entrepreneur Martin Hack about the business model of Skytree and how he started his company. Furthermore, Martin shares his learnings and advice for young entrepreneurs.The transcription of the interview is uploaded below.INTRODUCTIONMartin: Friends of Entrepreneurial Insights, this time we are in  San Jose. Its very close to the German Oktoberfest and thats why we are interviewing a German entrepreneur here in the  Silicon Valley. Martin from Skytree, who are you and what do you do?Martin (Skytree): Hi. Thanks, Martin. Thanks for having me. Im Martin Hack, Im the CEO and co-founder of Skytree. Were a machine learning company in the big data space and were focusing on making predictions.Martin: Great!Martin: I mean you have a great weather here. So what would be your prediction for the next days?Martin (Skytree): Since its  California, its going to be nice because we really have nothing to worry about that.  We have about 240 sunny days a year here, s o in a way, nothing to worry about on that front.Martin: Great! How did you come up with this idea of Skytree?Martin (Skytree): Yes, so eventually this is my first company where I was the founder. I did a couple of other startups in the past, worked at big companies that would last for 25 years. I started out in Europe and then came to the  US,  15 years ago.About 3 or 4 years ago, I started to see that theres a more and more need of a big data that wasnt here before. People started talking about big data. But really, the insights, how do we get the insights from all these data thats out there, it was pretty clear that there was still a missing link essentially.A close friend of mine, Alex Gray, which I had known for 15 years, we stayed in touch over the years. He was a professor for machine learning at Georgia Tech. We got together about once a year. We started talking about 4-5 years ago, what would a company look like, what could be used. We thought all of the really important ap plications for that. Ultimately, we decided to take the plunge and started a company which was about 3.5 years ago.Martin: Great!BUSINESS MODELMartin: Can you explain briefly what Skytree really does?Martin (Skytree): Sure. So, were essentially an enterprise software company. We’re selling software in the cloud and on the premise, for being massive scale machine learning on big data. So that could be anything from making a prediction, making recommendations, finding outliers, finding patterns, those are usually the use cases where people use machinery for it. We provide the software in the services for a customer for that.Martin: Do you also have third party applications that you are selling on your platform or everything is developed by yourself?Martin (Skytree): Everything is by Skytree. We worked with a lot of the Hadoop partners out there, so we worked very closely with the 3big Hadoop vendors, theyre all partners and friends of ours. Its very much big data ecosystem nowadays. Its very hard to do it for one vendor alone. So we have a very good partner system out there and Hadoop vendors are very near dear to us.Martin: Do you have a technology developed that you can apply to several problems or did you adjust those kind of technology and developed singular product?Martin (Skytree): Its essentially a platform, so there are multiple use cases for that, with what we call a vertical approach. Some of those areas are for example, in financial services, anything from fraud detection and fraud prevention, thats a big use case. Another one would be around risk scoring, credit scoring. And another one would be around marketing and targeting, so who should we essentially market to. Those are the very common ones.Other ones are, around what we call predictive maintenance, predicting when a  third parts are about to fail. Think about cars, think about energy transformers, think about utility, sometimes multi million dollar units. If you can predict something before it fails, thats a great asset to have at their disposal. So those are the things were working on with our customers.Martin: When you started the company, how was your go to market? How did you try to acquire some customers? Did you start with one product and then just acquire a specific subset of the customer that you have currently or how did it work?Martin (Skytree): So for us, we were kind of in a fortunate position because we were still in stealth mode. We had no website, no phone number, but we had customers.Martin: Why?Martin (Skytree): So how did that happen? There was such a demand for the technology that people through rather obscure channel find out about us and said, we want to work with you, can you get in and help us. So those verticals are the ones I already mentioned, financial services, retails, and insurance companies. The go to market was kind of already planned out for us without us even doing anything. We enforced that and grew the customers base in those vertica ls. But ultimately it wasnt really a solution trying to find a market, the market was already there and asked, Okay, can you help us.With the big data environment exploding in most of these customers, and these are all Global 2000 customers. So these are the biggest brands, the biggest companies out there who have essentially the need to do those kind of computation analytics. For us it was a perfect match so to speak, because we had something that they wanted and for us, we focus and tailor offering around those kind of applications.Martin: Did you get to know this kind of first time customers before you started or did it just happen accidentally getting to know them?Martin (Skytree): I think it was both eventually. I mean, some of them came through networking where we knew, I mean theres only a limited number of customers that would buy that initially and we knew in Global 2000 list there are the 50 biggest banks, the 50 biggest investment banks, the 50 biggest retail banks and so on. So we knew who they were and its a rather closed community at that point. And then you would ask for introduction or we already knew somebody there. So usually you get the snowball effect or the net effect, and then ultimately if the number one in that industry is using your product, number 2 and 3 and 4 probably want to use very quickly thereafter because they realize theyre missing out in the market.Martin: This B2B market segment, one of the major problems is really identifying the key decision maker. How did you identify those people?Martin (Skytree): Thats ultimately the challenge of any kind of sales, environment enterprise sales is somewhat a combination of art and science to a certain degree. You just have to essentially figure out who is the economical buyer, who is the technical decision maker. And that might vary. Theres not one size fits all. Its not always the same person who makes the decision. It could be literally across the board and some organizations, you mig ht have 5 people who have to say yes before theres a purchasing decision.That part is essentially of the engagement, you have to essentially figure those things out with the customers. The most important thing is that you have a sponsor upfront that actually says, Yes, I believe in this technology, this is going to get us to the next phase where the customers want to be. And it has to be value. If theres no value, nothing is going to happen.Martin: Right.CORPORATE STRATEGYMartin: Martin, in terms of corporate strategy, what is the competitive advantage of Skytree?Martin (Skytree): I think the technology part which is ultimately driven by the people. The people who we have in the company, how we started out, what we have right now, are the ultimate differentiation for us. In our engineering department, we have about 92% PhD. A lot of the guys that created and invented those algorithm worked for us, or we work very closely with them. So we already kind in a way, the folks who did a lo t of the machine learning thats out there today. So we came up with it.In other words, one of the big factors for us early on was essentially the people that weve evolved with. Not just on the hiring side, but also the partnerships, we have a massive partnerships with the university networks out there. In a way Skytree, we are kind of curators between academia and the industry and we put a huge focus on hiring essentially the best in machine learning. Thats what we have done.I would say, if its only one thing that differentiate for us, its the people inside the company and the people that we work with, that allows us to build an environment and a system thats pretty hard to beat in the market place.Martin: What have been you learnings from working with those university institutions?Martin (Skytree): I think it started out with us, because we have a lot of academics that started the company. So we were kind of thrown into that already. So it was a natural fit for us and I personally was very positively surprised because essentially whatever you work with, you get a very high level right off the bat. When you work with universities out there, with very clear goals, very clear targets around the objectives they want to accomplish. And theyre usually the folk leader in that space. So they are, that university or that professor that came up with something,  we work with them. That makes it a very nice partnership for us and at the same time, many times we recruit directly from those universities. Getting their master or PhD programs.Martin: Great!MARKET DEVELOPMENTMartin: In terms of market development, can you give us a broad overview of how you perceive the current market development and predictive analytics?Martin (Skytree): I think its not just so much about predictive analytics around big data and predictive analytics. So I would say big data certainly is at a certain hype level that is hard to beat at this point. Its definitely out there. People are using it. But people are now looking to hear whats the next thing after big data? If SaaS and Cloud was in maybe 4 -5 years ago, big data certainly happening now and whats the next thing.We believe machine learning, specifically predictive analytics is going to be huge part of it because thats the thing that allow us to gain insights in what we call actionable insights from the data. So you might have a data lake, a data hub, whatever it is, now how do we get to the next level, which is the insights.So predictive analytics and machinery is going to play a major role. To our point is  where well live in the next 5 years every Fortune 500 is going to have a machine learning system at their disposal. But its in their cloud or in premise, but they are going to use it because its the next logical thing after BI, Business Intelligence. Business Intelligence has been around for 25-30 years. People want to go, whats the next thing. How do we go from looking at yesterdays data at predicting whats go ing to happen to a business tomorrow. And thats really machine learning and thats where the journey is really going.Martin: What would be your forecast? Would it be more each and every company develops their own predictive analytics tools or is there so much economies of scale when some sell product like you also, develop a tool and sells it to all the other companies?Martin (Skytree): It will always be companies out there who want to do their own thing. There’s nothing wrong with that and open source is a great example of that. If you look at Linux, its everywhere, people are using it and its a great success story.However theres also going to be a maturity of the market that just want to  use the system. A great analog to that would be, a relational database 25-30 years ago. People asked why they need a database. Today nobody would ask that.While you can still build your own machine learning system yourself, potentially most customers just say, Hey, can I have a system that can d o the same thing what these guys are doing? We think thats to your point, economic of scale, its going to ultimately probably succeeded in the market because its just much easier to deploy, to manage, to use, and to support ultimately. That where we see the market is going right now.ADVICE TO ENTREPRENEURSMartin: What have been your major learnings and maybe dos and don’ts that you have seen over the last years?Martin (Skytree): There are a lot of things you learned by failing and maybe those are the most painful lessons but the most important ones. But a lot of the times its actually working with the right people and basically surrounds yourself with the smartest people you could potentially work with, or have as  advisers  or mentors.That was essentially from day one, our mantra basically to be out there working  with the people that we bring in and them essentially be at the certain level and at the same time have  advisers  and a  network of people that can support you.Ultimat ely, surround yourself only with positive people. Thats something Ive learned over the years. You don’t want to be with people that dragged you down, you want to be with people that lift you up potentially. Whether thats in life or in business. It’s ultimately the people that are positive are probably going to emerge as victors.Martin: Okay. Great! Are there any specific learnings to machine learning or building big data companies?Martin (Skytree): Yes, I think theres certain things in hindsight, you could always say, we should have done this, this and that. But if I would  have to do it again, I would say, I wouldnt change that much. I would change potentially the makeup of the product  in a certain industry, the way we go after. But those are small details that you can basically learn while youre doing it. Theres nothing thats a major, oh wow, this was like a major screw up.But the small things sometimes they do have big impacts. One other things that weve seen early on and in hindsight we could have done is essentially be very specific and even more focus on certain industry and verticals and application essentially. So that would ultimately accelerate time to market and will get you a better product market fit.So those are the things in hindsight yes, we are fixing them. We are doing a better job now but if you do those things earlier on, you probably are in a better position going forward. But nothing that you couldnt fix.Martin: Great! Martin, thank you very much for your time and your insights. Now we should get a beer because the Oktoberfest is coming. Thank you very much for watching us.