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AI is becoming more mainstream, as companies amass large amounts of data and look for the tech to analyze and leverage it. Here are some frameworks to consider. Artificial intelligence (AI) is slowly becoming more mainstream, as companies amass large amounts of data and look for the right technologies to analyze and leverage it. That’s why Gartner predicted that 80% of emerging technologies will have AI foundations by 2021. With the trend towards predictive analytics, machine learning and other data sciences already underway, marketers need to start paying attention to how they can leverage these techniques to form a more data-driven marketing strategy. With thisRead More →

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The digital marketing landscape is evolving at a rapid pace, and it can be challenging for marketers to keep up. Luckily, there are many reputable companies that offer online courses so that marketers can expand their knowledge. And in the wake of the coronavirus pandemic, many MarTech companies are even offering their learning material for free. “It’s important, especially in this work environment,” stated Tom Brodbeck, SEO Specialist at Fishers, I.N.-based Found Search Marketing, “to continue to learn new skillsets.”  Only those marketers that put in the effort to continuously learn can avoid falling behind as digital marketing becomes more technological and data-driven than ever before.Read More →

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The ability to extract value from data is becoming increasingly important in the job market of today. Here, we look at the 9 best data science courses that are available for free online. You don’t have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for “armchair data scientists” – those without formal qualifications in the subject but with the skills and knowledge to analyze data in their everyday work, is predicted to outstrip demand for traditionally qualified data scientists in the coming years. This means that practically anyone can upgrade their employability and careerRead More →

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Exploding quantities of data have the potential to fuel a new era of fact-based innovation in corporations, backing up new ideas with solid evidence. Buoyed by hopes of better satisfying customers, streamlining operations, and clarifying strategy, firms have for the past decade amassed data, invested in technologies, and paid handsomely for analytical talent. Yet for many companies a strong, data-driven culture remains elusive, and data are rarely the universal basis for decision making. Why is it so hard? Our work in a range of industries indicates that the biggest obstacles to creating data-based businesses aren’t technical; they’re cultural. It is simple enough to describe howRead More →

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In: Big Data, Data Science
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Data engineers and data architects are in high demand. Here are the certifications that will give your career an edge. Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake big data initiatives can be even harder. Successfully deploying big data initiatives requires more than data scientists and data analysts. It requires data architects who design the “blueprint” for your enterprise data management framework, and it requires data engineers who can build that framework and the data pipelines to bring in, process, and create businessRead More →

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What Is the Token Economy? Token economics can be understood as a subset of economics that studies the economic institutions, policies, and ethics of the production, distribution, and … – Selection from What Is the Token Economy? [Book] Blockchain technology seems to be the driving force of the next-generation internet, what many refer to as Web3.Web3 enables tokenized economic interactions without intermediaries.It provides a unique set of data, a universal state layer, also referred to as the ledger, which is collectively managed by a network of untrusted computers. This unique state layer allows us to send digital values in the form of tokens entirely peerRead More →

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All the world’s tech leaders are racing to offer cutting-edge uses of artificial intelligence (AI). As a result, they use artificial intelligence in many ways and give us some of the best examples of artificial intelligence in practice. Here are the ten best examples of how companies use AI today. 1.   Alibaba Chinese company Alibaba is the world’s largest e-commerce platform that sells more than Amazon and eBay combined. Artificial intelligence (AI) is integral in Alibaba’s daily operationsand is used to predict what customers might want to buy. With natural language processing, the company automatically generates product descriptions for the site. Another way Alibaba uses artificialRead More →

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Many enterprises, vendors, and startups often confuse the role of data scientist and data engineers. While the overlap of these roles is substantial they’re not particularly interchangeable. As AI continues to become a focus for an increasing number of enterprises, these organizations are realizing how important it is to have the right people and skills in place. In particular, there has recently been a significant increase in demand for data scientists in organizations as AI, various applications of machine learning (ML), non-ML predictive analytics, and other so-called “big data” approaches continue to gain traction in the enterprise. In fact, the significant demand for data scientistsRead More →

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The existence of Digital Marketing strategies would be non-apparent without the existence of data science. Here’s how digital marketers can reap the benefits of data science by implementing it to their campaigns. Below is our list of the few benefits of implementing data science in digital marketing. Speeds up planning campaigns Marketeers can achieve quicker and easier planning of their campaigns by using data science. You already have the data on your site, on your current campaigns and social media channels. Data science enables you to gather and analyze the data more precisely and efficiently. This helps you to design and execute your campaigns muchRead More →

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Statistics for data science teams and leadership Data science, Sigma Six, analytics, and business intelligence are all different sides of a multi-sided polygon. Each has different tools, vocabularies, projects, and certifications. However, they all serve the business to reduce costs and increase revenues. These are practical tools that help businesses be more effective at what they do! And each comes with their own new styles of management practices and necessities for leadership to understand the actual value that can be gained from properly utilizing these tools. We wanted to help create a quick guide to help management and refresh data scientists memories on some ofRead More →