Is Your IT Transformation Stuck in Neutral?

| June 15, 2016

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In today’s rapidly changing business world, IT’s transformation to becoming a broker of services to the business is critical to its viability. Central to this transformation is the creation of a hybrid cloud environment where services can be most effectively offered between public and private clouds.

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Smartmatic

Smartmatic is the world leader in electronic voting, having processed over 3.7 billion votes in elections in five continents. We pioneered the use of voting machines that produce voter-verified paper audit trails (VVPAT), a feature that has now become the de facto standard worldwide.

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Is investing in AI the highest ROI opportunity?

Article | December 8, 2020

This article explores why AI is the highest ROI opportunity. How revolutionary the technology is as Artificial Intelligence (AI) progresses with each passing day, its implementations are massive and almost every magazine and report has covered it. However, explaining its particular facets and how AI and its subsets of Machine Learning and Deep Learning can transform the way we view life has become imperative. Both businesses are or will be implementing AI in one way or another, the future of the corporate world. Investing in the right AI will deliver a really high ROI if you know what you’re doing. Entrepreneurs have nothing to do without their senses and the need for testing. Fortunately, the early stage of AI presents financial investors with a more advanced and profitable strategy and provides valuable strategic perspectives when building a new company. And small companies now generate reliable data from basic market fluctuations in stock to corporate announcements, and this is just the beginning. It is very difficult to select the important one when transmitting data. What do you intend to invest as a long-term investor? Any finance analysts have worked out how to deal with crucial data over time. At that point, they have stable tools that complement their portfolio of investments. AI can assess how early-stage start-ups perform for investors and capture the start-up opportunity for success by forecasting sales growth, market size, business expertise over all variables. It will evaluate the details in order to see if the statistics will actually make improvements. This means that investment-worthy startups can afford to start raising funds. Most investors use AI to make important investment choices. By integrating algorithms, data mining, and language processing, AI can create relationships and models to render proposals based on investor bends. As AI continuously absorbs new data, it will grow as it analyses new information and eventually becomes reliable and far-reaching. MotherBrain, the Machine Learning system developed by EQT Ventures to classify potential start-ups, applies its algorithm to historical data so as to potentially distinguish investment applicants. The platform uses details such as financial statistics, site rankings, device placement, and social media features that most businesses can physically test and evaluate. Surprisingly, if the invention of Motherbrain has already been accessed as it comes to seed and angel finance for businesses. Small investors, including angel investors, can also leverage the expertise and services accessible exclusively to historically significant firms. Another real downside for venture capitalists and angel investors is seeking pleasant investment targets before. This is a consistently strong and travel-intensive challenge. However, Machine Learning and Predictive Analytics are starting to shift the strategy. For other users, there are goods, such as Allegro, an intellectual algorithmic investment focused on AI that is absolutely free from human prejudice. This is a great investing product, but when the market is low on the promise, turn to an equity fund and a debt fund when the market is strong, meaning that the investments are safe. Indeed, finance managers who are compliant with the implications of the industry are often in a tough position where erroneous data exist or where market flaws occur. These defects may be rumors, financial theft, or innocent relationship slip-ups. Owing to the fact that financial markets are in touch with a constant flow of data, the vulnerability or interruption in the flow appears to be worse than the bad news. So, what is restricting the implementation of AI in conventional businesses following the pattern of hedge funds? The most important problems arise from massive financial and human capital investment. Probably the most commonly known inhibitor is the scarcity of available talent pools. As another field, there is a pool of detainees with expertise and experience in the field. The same happens to data scientists and AI practitioners, who usually expect a summary of observations into critical company behavior and goals. Pesa reports that more than 10,000 AI vacancies are available in the United States alone. Apart from a lack of expertise, investment companies need to respond to the priorities and desires of this unique pool of potential that binds the world of academics, academics, and Ph.D. students. Many of these people do not partake in conventional investing jobs and are motivated by capital and financial security. This talent pool is very common and involves their preference. Instead, investment firms need to build a situation where talent demands are fulfilled, placing a high premium on having a positive impression, taking a shot, and seeking game-changing growth. When it comes to worrying about money, investors are still trusting in the person behind the idea. This leaves a lot of space for personal inclination and emotional misconduct. Emotional investment is at stake. AI is balancing this out. AI helps investors to rely more easily on research and statistics. We can not empty our current senses, however, we can use AI to circumvent our existence. Conclusion The growth estimated for AI is huge and shows that it will rise by billions in the coming years. AI may be much larger, analysts say that this sector would rise 30 percent annually. AI has tremendous potential because it can go from engineering to tech in any field and can affect everything in between. Applications of AI are massive and it would not be possible to show only a few facets of it. But if you are an entrepreneur and you have a particular interest in getting to know the industry, then you can look at and evaluate it properly. Opportunities are massive, and technology is just going to grow because the world economies have been struck by a pandemic, one area that has exploded is technology.

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Create a Cloud Migration Strategy with IT Infrastructure Monitoring

Article | July 23, 2020

The rapid pivot towards a remote workforce is forcing organizations to adopt a cloud-first approach faster than ever. We recently surveyed 500 IT decision-makers around the globe to ascertain their views on IT automation, cloud migration, and business continuity in the face of unexpected crises. The survey found that 87% of IT professionals agree that the current COVID-19 pandemic will cause organizations to accelerate their migration to the cloud.

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Why Product Thinking Is the Next Evolution of DevOps: 5 Practical Steps to Getting Started

Article | July 30, 2020

In this article we will together answer some key questions around product thinking and share some thinking tools and actionable steps to help you consider when and how to apply Product Thinking in your organisation.

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How to Leverage Intent Data to strengthen Your MarTech Stack

Article | February 27, 2020

Wouldn’t it be great if you’d know where to find prospects that are most likely to buy? Or what’s bugging them to delay buying? If it was possible to get insights on the purchase-intent of your buyer? Or if they are truly looking to buy? Most businesses spend huge amounts on advertising campaigns and still don’t come any close to meet their intended targets. If you’re looking to shoot a bulls-eye, landing huge B2B buyers from profiling alone is an imprecise way. This is where Intent Data comes in. Intent is an efficient tool that helps B2B marketers in precise prospect targeting based on their behavior when in the purchase cycle. Are you receiving mixed signals from your buyers? Intent Data is the solution. And it’s burying traditional marketing ways deep into oblivion. These tactics are widely adopted (40% to be precise) by B2B marketers around the world. But the information on ‘intent data’ has is found to be random, scattered and disconnected. Getting the customers’ buying journey mapped and monitored is becoming a sophisticated task for marketers today.

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Spotlight

Smartmatic

Smartmatic is the world leader in electronic voting, having processed over 3.7 billion votes in elections in five continents. We pioneered the use of voting machines that produce voter-verified paper audit trails (VVPAT), a feature that has now become the de facto standard worldwide.

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