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2021's Top Data Science & Artificial Intelligence Trends

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Compared with AI, data science is an enterprise discipline. Creativeness, innovation, and efficacy are unrestrained in one field; engineering, governance, and regulations are among countless constraints in the other. Enterprise applications of AI rarely generate tangible business value unless data science is involved. Unexpected challenges arose in 2020. Furthermore, it also provided a unique opportunity to leverage technology on a variety of fronts. The industry made numerous digital touchpoints, from applying it to retail, eCommerce, and other industries to improving employee safety and consumer experiences during work from home scenarios. New technologies such as data analytics , artificial intelligence, cybersecurity, and cloud computing saw an exponential growth that enabled the business world to change accordingly.  Based on previous years, 2021 might be the year that tech trends expand into new areas. AI and data science will be the highlights in the new year, including intellig
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Data Analytics Services: How to Select the Right Provider

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Analytics leaders rarely have the internal resources necessary to accelerate and scale solutions that deliver business value. The challenge is deciding which data analytics service provider is right for your organization in a market that has hundreds of possible options. When to choose a data analytics service provider Although there's no right time to select an analytics provider , there are a few factors that might indicate which analytics provider would be right for your organization: Expenses- Are you spending valuable time and money on maintaining your outdated and legacy technology? A reliable system would eliminate such expenses Shifts in market conditions – Does your organization have the capability to respond to market shifts? A new analytics marketplace platform might be required if you are increasingly challenged in this area, since those with advanced analytics solutions are better able to react to market changes . Implementing a new analytics solution can be costly,
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The KPIs to measure the growth of an analytics marketplace

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A data analytics marketplace has been growing tremendously. Every organization, from an IT producer to a business consumer, finds it an asset to automate complex processes, drive strategic insights, and personalize customer experiences. There have been frequent headlines about data; Be it data-as-a-service, data breaches, data leveraging, data management, and more. Businesses strive to implement self-service data access to quickly find, understand, and leverage it for specific requirements. They need analyst vendors to curate an agile and on-demand approach to bring the trusted reports of business analytics.  The data analytics marketplace caters to several business requirements, so it has to evolve its functioning for up-gradation.  4 key performance indicators (KPIs) that can measure the growth of the analytics marketplace include  1. The early adopters of the marketplace have to allot much time for analysis. As time and proficiency grow, upgraded skills reduce analysis time from mo
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Ultimate research to business analytics

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The analytics marketplace  is becoming an integral part of every sector including the financial sector. In the case of each product or service, there are multiple parties involved and hence the marketplace helps to unfold better supply-demand matches. They also help to improve communication and cooperation between the parties involved.  The platform owner should have views on the metrics as there are problems that come up daily and can be fixed using analytics.    Some technical metrics:  1. Web Metrics:   Tools available in the market which capture the usage of the website, visitor insights, and many more are  Google Analytics ,  Adobe Analytics , etc.     2. Application Metrics:  Application metrics capture, collect, and several metrics of the functioning parts within an application. Example: ELK Stack, Prometheus.     Non-technical metrics are:     1. Business View and Performance:  Monitoring if the system supporting the business is working properly or not, keeping a track of av
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What's new for businesses that use data analytics

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We all know data analytics plays a significant role in the growth of a business but new in this field. Let's delve in and find out - ·           Data Quality Management is to become more prominent in the days to come. ·           We will be using Data Management, Security and Accessibility to Scale Up. ·           Digital Privacy – a factor to consider for everyone in business now. ·           Augmented Analytics to Take Centre Role ·           The Cloud will continue to Reign ·           And Predictive and Prescriptive Analytics – another factor to consider. ·           Embedded Analytics will Rise ·           Artificial Intelligence and Automation will augment the Consumer Experience ·           Personalization is the buzz word All the above can be achieved with data analytics for business growth. Now it's time to ponder - Is the future of business analytics bright? Well, it's bright enough to eradicate any doubts. With concepts like the inclusion of customization, AI, da
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An overview of what Machine Learning Marketplace is

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Today many marketplaces are coming up to break the monopoly of some big players in AI development and lower the barrier that startups faced to enter this highly luring field. These marketplaces have outstanding Machine Learning development models for all different enterprise settings, like personal use or a small team, or even bigger ones.    One such notable and the emerging company would be Analytics Genie – the global analytics marketplace. Companies like this would be a boon for businesses that do not have an machine learning team in this startup age. Features like easy deployment and low yet scalable operation cost help many startups looking to incorporate AI-powered processes into their products. The top 4 machine learning marketplaces for accessing models that startups can adopt in their offerings, such as apps in this world today, would be – Algorithmia, ModelDepot, BigML, AWS Marketplace. In addition to this list would be the one we discussed earlier - Analytics Genie. Here
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Global Analytics Marketplace: Do we need one?

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A good question in a time like this. Before we delve into this topic, let's find out the meaning of the term "Global Analytics Marketplace." Leading technology companies like Analytics Genie connect analytics decision-makers with analytics service providers worldwide in a platform called Analytics Marketplace.  It is here the company is helping its clients find their requirements by matching them with specialized vendors. They believe that clients are looking for specialization and industry expertise from their partners as they grow. Now to the question - do we need one? The answer to it is - yes. Let's retake the example of Analytics Genie. Here the platform allows its clients and vendors to collaborate and find their right match according to their specific requirements. And also, it uses analytics to make people's lives better by ensuring growth. Now that there is clarity about the benefits of a Global Analytics Marketplace, let's begin by analyzing it
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