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172 Business/Customer Intelligence & Data Science Tools

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Actian Corporation Actian offers on-premises and cloud data management solutions for seamless performance, insights and outcomes. Learn how to activate your data today! Uncover powerful insights and improve marketing & sales performance AdWyze Automate data collection, normalisation and reporting from all your advertising and analytics channels. Algomus Enterprise AI and Workflow Automation platform delivered by a Virtual Business Analyst bot named Algo. Allsight The AllSight Customer Intelligence Platforms Software enables you to obtain the intelligent Customer 360. Alpine Data Accelerate ROI from your data science initiatives with a collaborative analytic workflow builder that lets you transform data into insight within Hadoop and other big data environments. Alteryx Alteryx is a leader in data science and self-service analytics with a platform that can prep, blend, enrich, and analyze data, manage and deploy predictive models, and share analytics at scale. Gain deeper insights in hours, not the weeks that you may be used to. Altreva Altreva Adaptive Modeler is a software application for forecasting stocks, ETFs, forex currency pairs, cryptocurrencies, commodities and other markets. It creates market simulation models that coevolve in parallel with real markets to give one-step-ahead forecasts and trading signals, without overfitting to historical data. Analance Analance is a revolutionary platform that consolidates data management, analytics and business intelligence into a single platform. It is an end-to-end tool that clean, transform, model and visualize enterprise data. Make sense of your data the right way. Get a demo of Analance or take it for a 30-day test drive. Anaplan Anaplans connected planning platform enables organizations to accelerate decision making by connecting data, people, and plans across the business. Angoss Software Corporation Angoss' predictive analytics and data mining software solutions help companies grow revenue, increase sales productivity, improve marketing effectiveness, deepen customer loyalty, and reduce risk, using data profiling and visualization, decision tree analysis, predictive modeling, scoring and strategy building. Annalect Annalect - Data driven marketing solutions are often complex, but working with a partner to deploy them should be simple.


Top 10 AI and Data Science Trends in 2022 - Analytics Vidhya

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This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better. Deep learning, natural language processing, and computer vision are examples of technologies that have emerged as a result of the rise of Data Science as a field of research and practical application throughout the previous century. In general, it has aided the development of machine learning (ML) as a means of achieving artificial intelligence (AI), a field of technology that is fast changing the way we work and live.


Top 100 Big Data Companies Driving Innovation in 2021

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Big data as the name suggests is a large amount of data that is growing exponentially and it is difficult to be managed by traditional data management tools. These large data sets need cost-efficient, innovative, and efficient methods for analysis so that they can be helpful to devise insights. Currently, the world produces 2.5 quintillion bytes of data daily. The explosion of data continues in the roaring '20s, both in terms of generation and storage the amount of stored data is expected to continue to double at least every four years. When we look at Facebook that has hundreds of users across the globe. Facebook generates about 500 petabytes of data. And the company also uses big data to handle data needs. In the age of digital technology and social media, the amount of information generated is increasing exponentially. It has now become possible to analyse the data and get insights from it immediately. The concept of big data has been around for several years. Big data, in particular, offers marketers with unmatched data regarding their customers, which opens possibilities of easily recording, tracking and processing massive volumes of data within all actions. Big data solutions include storage, backup, analysis, visualization, as well as administrative controls for enormous volumes of data. Big data solutions make a complicated data infrastructure more efficient. Furthermore, big data technologies allow smart cities to leverage expanded capabilities. Internet of Things (IoT) technologies, smart sensors, smart transportation and other innovations are all part of this. Several companies have emerged over the years to provide solutions for wrangling huge datasets and understanding the relevant information within them. Some offer powerful data analysis tools, while others aggregate and organize datasets into usable formats. Big data has its uses and applications in almost every industry. Big data has a massive contribution to the advancement in technology, growth in business and organizations, profit in each sector, etc. Looking at the non-stop growth and progress of big data, companies started adopting it more frequently. A3logics is a global IT services, consulting, and business solutions company leveraging best-in-class technologies to drive business efficiency. A3logics creates a next-generation space dedicated to aligning IT with business goals. The company's dedicated team of tech-savvy developers and enthusiasts help organizations embrace top solutions, which will help them fulfil their business objectives. A3logics uses artificial intelligence, blockchain, IoT, big data, augmented and virtual reality, etc to come up with software solutions that reflect the future. With the aim to bridge the gap between technology and business needs, the company works as a global provider of innovative solutions.


Big Data Industry Predictions for 2022 - insideBIGDATA

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As a result, all major cloud providers are either offering or promising to offer Kubernetes options that run on-premises and in multiple clouds. While Kubernetes is making the cloud more open, cloud providers are trying to become "stickier" with more vertical integration. From database-as-a-service (DBaaS) to AI/ML services, the cloud providers are offering options that make it easier and faster to code. Organizations should not take a "one size fits all" approach to the cloud. For applications and environments that can scale quickly, Kubernetes may be the right option. For stable applications, leveraging DBaaS and built-in AI/ML could be the perfect solution. For infrastructure services, SaaS offerings may be the optimal approach. The number of options will increase, so create basic business guidelines for your teams.


Big Data Industry Predictions for 2021 - insideBIGDATA

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But the big data industry has significant inertia moving into 2021. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. The "analytic divide" is going to get worse. Like the much-publicized "digital divide" we're also seeing the emergence of an "analytic divide." Many companies were driven to invest in analytics due to the pandemic, while others have been forced to cut anything they didn't view as critical to keep the lights on – and a proper investment in analytics was, for these organizations, analytics was on the chopping block. This means that the analytic divide will further widen in 2021, and this trend will continue for ...