Ai

Data-Driven Decisions: The New Pulse of Healthcare Innovation

The healthcare industry in the USA has undergone a rapid evolution in just a few short years. Spurred on by the COVID-19 pandemic, the industry has changed more in this brief period than in the decades preceding it. One of the most significant shifts has been the staggering rise of telehealth. According to a study by McKinsey & Company, telehealth

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Fintech

Can Sharing Data-Driven Insights Enhance Ad Performance?

The driving element behind decision-making is data. Marketers and advertisers rely on a plethora of data to fine-tune their plans, optimize campaigns, and efficiently reach their target customers. In an industry where data is king, however, the idea of sharing data-driven insights is gaining appeal. The topic at the forefront of debate is whether sharing such information may result in

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Semiconductor

Using Smart Data To Boost Semiconductor Reliability

The chip industry is looking to AI and data analytics to improve yield, operational efficiency, and reduce the overall cost of designing and manufacturing complex devices. In fact, SEMI estimates its members could capture more than $60B in revenues associated through smart data use and AI. Getting there, however, requires overcoming a number of persistent obstacles. Smart data utilization is

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Ai

Can the CFO become a revenue-generator?

Generative artificial intelligence is starting to impact the way payment fintechs create value for their customers. Stripe is now building its sales pitch to Asian tech companies, merchants and corporates around what its services can do if a client plugs in their own language-learning models, such as ChatGPT. Stripe sells companies payments tools, to enable things such as billing, subscriptions,

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Fintech

Data vets launch analytics startup for trading desks

A team of data-science consultants has launched an analytics business in Sydney to help banks and buy sides make better sense of their trading algorithms – and prepare for the eventual introduction of generative artificial intelligence onto the floor. Cat Turley, founder and CEO of ExeQution Analytics, says equities desks continue to struggle with making sense of data, even as

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Ai

Elevating Customer Experience Through Data: A Strategic Guide

Testing is an essential step in any Software Development Life Cycle (SDLC) aimed at confirming the product’s quality and eliminating errors to ensure the final product is free from defects. There are two testing methods: Manual testing and Automation testing. Manual testing involves testers meticulously following a step-by-step process to identify defects in the developed product.  However, this approach often

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Edtech

Big Deals: Advanced offerings in curriculum and data analytics, parent communication, remote tutoring, and more

Discovery Education this month acquired DreamBox Learning, a PK-12 education technology provider serving more than 6 million students and 600,000 educators nationwide. Headquartered in Bellevue, WA, DreamBox Learning offers the only dual-discipline solution rated “Strong” by Johns Hopkins University’s evidenceforESSA.org in both mathematics and reading. Through its adaptive learning solutions independently proven to accelerate student growth, DreamBox Learning empowers educators

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Fintech

State Super onboards fintech Premialab for data insights

State Super, an A$38 billion ($25 billion) superannuation fund in Australia, is working with Hong Kong-based fintech Premialab to help it source data and make sense of its growing exposures to alternative risk premia. “Premialab was introduced to cater primarily to our alternative risk premia strategy,” Alan Chan, senior investment manager, told DigFin (pictured). “Over the last 24 months, we have

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Jo’burg exchange pitches data services to bourses

Johannesburg Stock Exchange, the largest stock exchange in Africa, is launching a joint venture with market data vendor big xyt that aims to help other bourses make better use of their data. The JV, called Trade Explorer, is the result of JSE’s efforts to make its wholesale data readily available to its local ecosystem of brokers, traders and investors, says

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Fintech

Aboitiz eyes multi-bank fintech platform for SMEs

Aboitiz Data Innovation (ADI), a unit of Filipino conglomerate Aboitiz Group, has developed a fintech lending platform that enables its in-house banks to serve SMEs. It plans to invite third-party banks to use the platform in a bid to create an independent business able to serve the entire region. Guy Sheppard, chief operating officer for financial services at ADI in

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Semiconductor

A Practical DRAM-Based Multi-Level PIM Architecture For Data Analytics

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST) and SK hynix Inc. Abstract: “Processing-in-memory (PIM) architecture is an inherent match for data analytics application, but we observe major challenges to address when accelerating it using PIM. In this paper, we propose Darwin,

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Big Data

Smart Manufacturing Makes Gains In Chip Industry

Lights out manufacturing is gaining steam across the semiconductor industry, accelerating productivity, improving quality, and reducing costs and environment impact. These benefits are the result of years of strategic investments in technologies like machine-to-machine communication, data analytics, and robotics to achieve higher levels of autonomy. Semiconductor factories have long depended upon automation of operations to keep production on time and

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Fintech

Temperatures rising faster than banks can get ESG data

The financial industry’s ability to wrangle environmental risk data is not keeping pace with rises in global temperatures. A slew of corporate disclosure rules, and the ways to measure that information, continue to emerge, supposedly giving banks and investors important tools to facilitate companies’ shift away from fossil fuels. There has been progress in terms of standards and increased familiarity

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Ai

Getting Smarter About Tool Maintenance

Chipmakers have begun to shift to predictive maintenance for process tools, but the hefty investment in analytics and engineering efforts means it will take some time for smart maintenance to become a widespread practice. Semiconductor manufacturers need to maintain a diverse set of equipment to process the flow of wafers, dies, packaged parts, and boards running through factories. OSAT and

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Semiconductor

Integrating Siloed Data In Semiconductor Manufacturing

In semiconductor manufacturing, huge amounts of data are generated and collected at every step in multiple production areas, with data coming from wafer fab, probe/testing, assembly, and final test. That data is usually stored separately in its respective manufacturing department, isolated from other departments. In order to analyze the production data and make better decisions, yield and test engineers need

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Edtech

Data Science Applications

Table of contents Data science is a rapidly growing field that combines statistics, computer science, and domain expertise to extract insights and knowledge from data. In this blog, we will explore various real-world applications of data science, including business, healthcare, finance, and more. Our goal is to provide readers with a better understanding of how data science is used to

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Edtech

Top Data Analytics Jobs in 2023

Table of contents Introduction In today’s data-driven world, the demand for skilled data analysts has never been higher. Companies in every industry seek professionals who can help them make sense of the vast amounts of data at their fingertips and use it to make informed business decisions. Data analytics is a crucial part of almost every modern organization. As a

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Edtech

What is Data Analytics?

Table of contents This article explores different aspects of data analytics and the skills required to excel in this field. The information will take you through the basics of data analytics to get you started and highlight the pros and cons of each topic. What is Data Analytics? Data analytics is the process of turning unprocessed data into insightful knowledge

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