Roman Law Essays - Roman Law, Ius, Ancient Rome, Jus Gentium

Roman Law Essays - Roman Law, Ius, Ancient Rome, Jus Gentium Roman Law Presentation Roman Law was the law that was as a result all through the period of classical times in the City of Rome and later in the Roman Empire. At the point when Roman guideline over Europe reached a conclusion, Roman law was largelythough not completelyforgotten. (Antiquated Rome, Compton's 96) The most punctual code of Roman Law was the Law of the Twelve Tables. It was formalized in 451-450BC from existing oral law by ten justices, called decemvirs, and engraved on tablets of bronze, which were posted in the central Roman Forum. As indicated by convention, the code was attracted up to mollify the plebs, who kept up that their freedoms were not enough secured by the unwritten law as deciphered by aristocrat judges. (Antiquated Rome, Compton's 96) Originally ten tablets of laws were engraved; two additional tablets were included the next year. The tablets were annihilated in the sack of Rome by the Gauls in 390BC, yet some of the laws are known through references in later Latin writing. The Twelve Tables secured all classes of the law and furthermore included explicit punishments for different infractions. The code experienced successive changes yet stayed as a result for right around 1000 years. In the sixth century a commission designated by the Roman ruler Justinian merged all the wellsprings of law, bringing about the Corpus Juris Civilis (Body of Civil Law). The Corpus Juris had no prompt impact in Western Europe, yet in the second 50% of the eleventh century it was rediscovered in Italy. The investigation of law dependent on the Corpus Juris was established at European colleges, and the Corpus Juris turned into a significant piece of Continental law. (Old Rome, Compton's 96) Combined with ordinance law and the traditions of shippers, they shaped an assemblage of law known all through mainland Europe. During the seventeenth and eighteenth hundreds of years the authority of the Corpus Juris started to decrease as it was rethought. The stage was set for the codification of current common law. In the nineteenth century most affable law nations arranged the greater part of their legitimate rules. The Early Law Before the Twelve Tables, the law of Rome was strict in character, and its understanding rested with clerics, who were individuals from the aristocrat class. Protests and disturbance by the plebs, the ordinary citizens, prompted the decrease to composing of the current legitimate traditions and the expansion of new standards obscure in the standard law. The Law of the Twelve Tables in this manner drafted was submitted to and acknowledged by the famous get together. This code put forward basic principles appropriate for an agrarian network; it set up equivalent law for aristocrats and plebs and was valued by the Romans as the wellspring of all open and private law. The legitimate framework built up under this code, and the group of decides that created around it, applied solely to Roman residents and was known as the jus civile. (Antiquated Rome, Compton's 96) The laws of the Twelve Tables are one of the most punctual surviving law codes. Covering both common and criminal issues, it is ordinarily accepted that these laws served to arrange existing custom. They give an important knowledge into Roman law, yet into Roman culture too. Here are a few portions taken from the deciphered form. Rapidly slaughter ... an appallingly twisted kid. In the event that a dad threefold acquiescence a child available to be purchased, the child will be liberated from the dad. A kid brought into the world ten months after the dad's passing won't be conceded into a legitimate legacy. Females will stay in guardianship in any event, when they have accomplished their dominant part ... but Vestal Virgins. A prodigal is prohibited to practice organization over his own merchandise. People will retouch roadways. In the event that they don't keep them laid with stone, an individual will drive his monsters where he wishes. It is allowed to accumulate organic product tumbling down on another man's homestead. In the event that any individual has sung or created against someone else a tune, for example, was making criticism or affront another, he will be clubbed to death. In the event that an individual has debilitated another's appendage, let there be counter in kind except if he settles on understanding for settlement with him. Intermarriage will not happen among plebeians and aristocrats. (Touregypt.net) Impacts of Roman Rule Victory over the Mediterranean bowl constrained the Romans to work

History of the Sicilian Mafia Essay Example | Topics and Well Written Essays - 2250 words

History of the Sicilian Mafia - Essay Example A mafia was an individual who might not conform to the standard of the focal government, yet stayed dubious about it. Toward the finish of nineteenth century, mafia bunches progressed and shaped private militaries that would compel landowners to pay cash for the insurance. In the long run, this gathering created and increased to shape the current-threatening criminal association called the Sicilian Mafia (Varese, 2011). The American mafia, framed in 1920, doesn't have some connect to the Sicilian Mafia. Notwithstanding, the Sicilian Mafia and the American Mafia share an arrangement of devotion and lead, which directs the conduct of their individuals. Mafia-type Organizations Today, the term Mafia, alludes to any sorted out unlawful gathering. The broad communications portrays the mafia as an overall malevolence that controls every single criminal behavior (Allum 2007, p. 125). For instance, they include in medicate dealing, offer of radioactive substances and arms managing. The Sicil ian mafia has appreciated the heritage of the best Mafia on the planet because of it long-standing obligation in the human progress and its multifaceted nature. The quality of the Sicilian mafia exudes from the capacity of the gathering to develop and spread to national, universal and transnational levels, and still keep up its novel centers in the Sicilian people group. The Sicilian Mafia kept on joining development and congruity of its conventional exercises (Dickie, 2011). For instance, the gathering keeps on coercing individuals, however today they utilize advanced strategies that are innovation supported. They additionally select exercises that will yield the gathering the most monetary advantages. After the Second World War, both the American mafia and the Sicilian mafia bunches connected in dealing drugs, yet they held their self-rule. For the recent decades, the Sicilian Mafia has stretched out to various districts of the globe, and it secured all mainlands. This has empower ed the gathering to bargain heroin with Turkey, Asiatic families, Middle East and France (Allum 2007, p. 127). Today the gathering exchanges Cocaine the organization of Cartels of Latin-America. Sicilian Mafia uses the worldwide channels to launder cash to expense safe houses from Switzerland. A few illicit associations, which are like the Sicilian mafia, are additionally there in Italy, and the associations incorporate Camorra and the Sacra Corona Unita among others. There are additionally other worldwide authentic gatherings like the Japanese Yakusa the Russian Mafia and the Chinese Trieds, which shaped in accordance with the Sicilian Mafia (Jamieson 2008, p.57). It isn't probably going to choose the exact measure of profit that are gotten from sorted out wrongdoing exercises. Be that as it may, unlawful capital is constantly over 500 billion dollars for each annum. The greater part of this capital is acquired from arms arrangements, blackmail and medication dealing. Right now the unlawful market has developed in unpredictability because of all around explained illicit deeds, just as, the expanded number of criminal gatherings (Jamieson 2008, p.59). This suggests no single Mafia Group appreciates the benefit of consuming the territory of wrongdoing calling. There are numerous elements that encourage the development and advancement of criminal gatherings in the public arena. Notwithstanding, the most relevant incorporate free enterprise globalization, economy financialization and exoneration of dissemination of advantages. Further, drugs restriction in numerous nations of the world makes the Mafias the main methods for dealing drugs (Jamieson 2008, p

National Junior Honor Society Essay Samples

<h1>National Junior Honor Society Essay Samples</h1><p>A National Junior Honor Society article can accomplish something beyond fill in as an exposition. It can truly assist you with winning honors and become a superior understudy. So in what manner should you pick the exposition tests for your schoolwork assignment?</p><p></p><p>When picking papers, you have to consider what kind of papers are required for the National Junior Honor Society. A paper test can be founded on more than one exposition subject. Some of them may be founded on articles that were given before in the year or by different understudies. Different occasions, they may be new papers that were composed only for this assignment.</p><p></p><p>Many schools and colleges give test papers to undergrads. They as a rule accompany a particular objective at the top of the priority list. For instance, some have different paper models dependent on the kind of expo sition that was given in a year ago's Honors Writing course. This is a decent choice on the off chance that you find that the educator in your school doesn't have the foggiest idea how to choose a proper article theme for your specific class.</p><p></p><p>The National Junior Honor Society for the most part gives test expositions as an approach to evaluate the capacities of the understudy composing the task. This is an ideal method to measure your composing capacity and ensure that you are composing something that addresses the issues of the school. These examples are regularly used to help figure out who is equipped for meeting the objective of finishing the errand. Ordinarily, your paper may should be revised in the event that it doesn't meet the desires for the college.</p><p></p><p>You will likewise discover a wide range of sorts of National Junior Honor Society exposition tests on the web. Huge numbers of these example articles con tain no-bomb methodologies. Others even permit you to utilize a portion of the examination you as of now have. It is imperative to have the option to use the data in your exposition, yet it is likewise ideal to have a few thoughts accessible on the off chance that you need a boost. Numerous understudies think that its accommodating to look at the example papers that are offered for specific college. These examples may originate from understudies who took the class that you are taking. You might have the option to locate some incredible tips and thoughts on explicit themes that you probably won't have thought of.</p><p></p><p>If you find that you can't get yourself access to the National Junior Honor Society exposition tests that are accessible, you can generally check the school site. There might be a few papers that are offered that are like the one you are searching for. Commonly, there will be test expositions dependent on various article themes that are a ccessible to the individuals who are not in your college.</p><p></p><p>In end, you will find that there are a wide range of sorts of paper tests to browse. The National Junior Honor Society normally gives diverse article subjects dependent on the sort of class the understudy is taking. These examples can be utilized to help kick you off recorded as a hard copy your paper. At that point, when you can compose appropriately, you can discover paper tests to assist you with accomplishing your goal.</p>

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.