Goal-based investing for wealth management

| April 26, 2016

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Investors take center stage and demand an intuitive experience to demonstrate how portfolios are tailored to meet their personal goals. Goal-based investing enhances the digital transformation strategy (Robo technology) that allows firms to own the investor engagement.

Spotlight

Manthan

Manthan is the Chief Analytics Officer for consumer industries worldwide. Manthan's portfolio of analytics-enabled business applications, advanced analytics platforms and solutions are architected to help users across industries walk the complete data-to-result path - analyze, take guided decisions and execute these decisions real-time. Sophisticated, yet intuitive analytical capability coupled with the power of big data, mobility and cloud computing, brings users business-ready applications that provide on-demand access and real-time execution - the only path to profit in a contemporary, on-demand and connected economy.

OTHER ARTICLES

What Is The Value Of A Big Data Project

Article | April 7, 2020

According to software vendors executing the big data projects, the answer is clear: More data means more options. Then add a bit of machine learning (ML) for good measure to get told what to do, and the revenue will thrive.This is not really feasible. Therefore, before starting a big data project, a checklist might come in handy.Make sure that the insights gained through machine learning are actionable. Gaining insights is always good, but it is even better if you can act on this new knowledge.A shopping basket analysis shows which products are sold together. What to do with that information?Companies could place the two products in opposite corners of the shop, so customers walk through all areas and will find other products to buy in addition. Or they could place both products next to each other so each boosts the sales of the other. Or how about discounting one product to gain more customers?As all actions have unknown side effects, companies have to decide for themselves which action makes sense to take in their case.

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3 steps to build a data fabric to integrate all your data tools

Article | May 17, 2021

One approach for better data utilization is the data fabric, a data management approach that arranges data in a single "fabric" that spans multiple systems and endpoints. The goal of the fabric is to link all data so it can easily be accessed. "DataOps and data fabric are two different but related things," said Ed Thompson, CTO at Matillion, which provides a cloud data integration platform. "DataOps is about taking practices which are common in modern software development and applying them to data projects. Data fabric is about the type of data landscape that you create and how the tools that you use work together."

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MAKING IOT DATA MEANINGFUL WITH AI-POWERED COGNITIVE COMPUTING

Article | April 1, 2020

Today, the world is all about industry 4.0 and the technologies brought in by it. From Artificial Intelligence (AI) to Big Data Analytics, all technologies are transforming one or the other industries in some ways. AI-powered Cognitive Computing is one such technology that provides high scale automation with ubiquitous connectivity. More so, it is redefining how IoT technology operates.The need for Cognitive computing in the IoT emerges from the significance of information in present-day business. In the brilliant IoT settings of things to come. Everybody from new AI services companies to undertakings to use the information to settle on choices utilizing realities instead of impulses.Cognitive computing uses information and reacts to changes inside it to decide on better options. It is based on explicit gaining from past encounters, contrasted and a standard-based choice framework

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Predictive Analytics: Enabling Businesses Achieve Accurate Data Prediction using AI

Article | July 13, 2021

We are living in the age of Big Data, and data has become the heart and the most valuable asset for businesses across industry verticals. In the hyper-competitive market that exists today, data acts as a major contributor to achieving business intelligence and brand equity. Thus, effective data management is the key to accelerating the success of businesses. For effective data management to take place, organizations must ensure that the data that is used is accurate and reliable. With the advent of AI, businesses can now leverage machine learning to predict outcomes using historical data. This is called predictive analytics. With predictive analytics, organizations can predict anything from customer turnover to forecasting equipment maintenance. Moreover, the data that is acquired through predictive analytics is of high quality and very accurate. Let us take a look at how AI enables accurate data prediction and helps businesses to equip themselves for the digital future.

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Spotlight

Manthan

Manthan is the Chief Analytics Officer for consumer industries worldwide. Manthan's portfolio of analytics-enabled business applications, advanced analytics platforms and solutions are architected to help users across industries walk the complete data-to-result path - analyze, take guided decisions and execute these decisions real-time. Sophisticated, yet intuitive analytical capability coupled with the power of big data, mobility and cloud computing, brings users business-ready applications that provide on-demand access and real-time execution - the only path to profit in a contemporary, on-demand and connected economy.

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