Thu.Jun 22, 2023

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Google Cloud Helps Macquarie Bank Enhance AI-Banking Capabilities

Analytics Vidhya

Macquarie’s Banking and Financial Services Group has joined forces with Google Cloud to harness the power of artificial intelligence (AI) and machine learning (ML) in an exciting collaboration to revolutionize the banking industry. This partnership aims to enhance customer banking experiences by developing predictive analysis models and streamlining banking processes through automation.

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The 10 highest-paying industries for IT talent

CIO Business Intelligence

Technology has quickly become a top priority for businesses across every industry. So much so that IT roles are no longer just the purview of the IT department. Every business unit has a stake in the IT services, apps, networks, hardware, and software needed to meet business goals and objectives, and many of them are hiring their own technologists. While Silicon Valley still pays top dollar for IT pros, the war for talent has moved beyond the technology industry, with other verticals vying for t

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Understanding Attention Mechanisms Using Multi-Head Attention

Analytics Vidhya

Introduction A good way to get in-depth knowledge about Transformer models is to learn about attention mechanisms. In this light, learning about multi-head attention in particular before learning other types of attention mechanisms is also a great choice. This is because the concept tends to be a bit easier to grasp. Attention mechanisms can be […] The post Understanding Attention Mechanisms Using Multi-Head Attention appeared first on Analytics Vidhya.

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How AI is reshaping demand for IT skills and talent

CIO Business Intelligence

AI is quickly becoming an essential part of daily work. It’s already being used to help improve operational processes, strengthen customer service, measure employee experience, and bolster cybersecurity efforts, among other applications. And with AI deepening its presence in daily life, as more people turn to AI bot services, such as ChatGPT, to answer questions and get help with tasks, its presence in the workplace will only accelerate.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Time Series Analysis of Netflix Stocks with Pandas

Analytics Vidhya

Introduction Time series analysis of data is not just a collection of numbers, in this case Netflix stocks. It is a captivating tapestry that weaves together the intricate story of our world with Pandas. Like a mystical thread, it captures the ebb and flow of events, the rise and fall of trends, and the emergence […] The post Time Series Analysis of Netflix Stocks with Pandas appeared first on Analytics Vidhya.

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Ultimate List of CFO Blogs and Resources – 2023 Edition

Jet Global

As a Chief Financial Officer (CFO), you are the pinnacle of the corporate financial food chain. The lion of the jungle. But does this mean your journey ends there? Definitely not. There are always new things to be learning and experiences to help you guide your company through the waves of the business cycle. We have compiled a list of resources to help you on your journey as a CFO.

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AWS invests $100 million in new Generative AI Innovation Center

CIO Business Intelligence

Amazon Web Services (AWS) on Thursday said that it was investing $100 million to start a new program, dubbed the Generative AI Innovation Center, in an effort to help enterprises accelerate the development of generative AI- based applications. The new program will connect AWS AI and machine learning (ML) experts with enterprises to help them envision, design, and launch new generative AI products, services, and processes, the company said, adding that these applications can be targeted at indust

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Excel vs Power BI – Which is a Better for Decision Making?

Analytics Vidhya

In today’s fast-paced business landscape, making informed decisions is essential for the success of organizations. Understanding popular business intelligence tools and their unique features is crucial for harnessing their true potential. Both MS Excel and Power BI offer impressive capabilities regarding data analysis and decision-making. However, determining the best choice depends on specific requirements.

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How Data Science, Machine Learning and AI can help your business thrive

Data Insight

The world is buzzing about the possibilities that can be unlocked with AI, Machine Learning, and Data Science. But how exactly can you harness their potential to benefit your business? AI, Machine Learning, and Data Science use powerful tools and techniques to extract insights and knowledge from data to improve the speed and accuracy of decisions and processes.

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What Does a Data Analyst Job Description Look Like?

Analytics Vidhya

Introduction The global data analytics market is expected to reach US $132,903 million at a CAGR of 28.9% by 2026. While data has become a powerhouse for businesses globally, it is fair enough to launch your career as a data analyst. A data analyst job description demands proficiency in gathering, cleaning, tweaking, and translating data. […] The post What Does a Data Analyst Job Description Look Like?

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Data Labeling Improves Machine Learning & AI Efficiency

Smart Data Collective

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 trillion by 2032. One such field is data labeling, where AI tools have emerged as indispensable assets.

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Is H1B Visa Approved Based On The Insights Of Data Analysis?

Analytics Vidhya

Introduction The H1B visa program opens doors for skilled individuals worldwide to bring their expertise to the United States. Thousands of talented professionals enter the US through this program each year, contributing to various industries and driving innovation. Let’s dive into the fascinating world of H1B visa data from the Office of Foreign Labor Certification […] The post Is H1B Visa Approved Based On The Insights Of Data Analysis?

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KDnuggets Top Posts for May 2023: Mojo Lang: The New Programming Language

KDnuggets

Mojo Lang: The New Programming Language • Pandas AI: The Generative AI Python Library • Machine Learning with ChatGPT Cheat Sheet • Stop Doing this on ChatGPT and Get Ahead of the 99% of its Users • Bard for Data Science Cheat Sheet • Free ChatGPT Course: Use The OpenAI API to Code 5 Projects • Top 10 Tools for Detecting ChatGPT, GPT-4, Bard, and other LLMs • HuggingChat Python API: Your No-Cost Alternative

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Do You Know Where All Your Data Is?

Cloudera

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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What Can We Expect From GPT-5?

KDnuggets

The moment we’ve all been waiting for - GPT-5 and the impressive capabilities of its predecessor, GPT-4.

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Turbocharging Target Identification: Ontotext’s AI-Powered Solution at Work

Ontotext

Recent statistics shed light on the realities in the world of current drug development: out of about 10,000 compounds that undergo clinical research, only 1 emerges successfully as an approved drug. This disheartening success rate is the result of the immense challenges faced by the Pharma industry today. To make things worse, the waiting period from bench to patient bedside now exceeds 12 years.

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Are Data Scientists Still Needed in the Age of Generative AI?

KDnuggets

The Rise of ChatGPT.

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Denodo Joins Forces with Presto

Data Virtualization

Reading Time: 2 minutes I’m excited to announce that Denodo has joined the Presto Foundation, which oversees the Presto open-source project, dedicated to the development of an open source, distributed SQL query engine. The Denodo Platform is a logical data management platform, powered by. The post Denodo Joins Forces with Presto appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Build Enterprise Generative AI With Dataiku

Dataiku

The race to enterprise Generative AI is on. However, in order to push beyond the boundaries of traditional chatbot functions and unlock the potential for meaningful, real-world enterprise applications, analytics and AI leaders need to build human-like intelligence into thousands of processes throughout the business, fundamentally changing the cost structure for knowledge-intensive tasks.

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Self-service vs Centralized Data Management: How to Leverage Data Lineage to Empower and Control

Octopai

In the era of big data, organizations are grappling with the challenge of effectively managing and leveraging vast amounts of data. Two prominent approaches have emerged: self-service data management and centralized data management. Each approach has its own merits and trade-offs, and understanding how to leverage data lineage within these frameworks can empower organizations and provide crucial control over their data assets.

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Get started managing partitions for Amazon S3 tables backed by the AWS Glue Data Catalog

AWS Big Data

Large organizations processing huge volumes of data usually store it in Amazon Simple Storage Service (Amazon S3) and query the data to make data-driven business decisions using distributed analytics engines such as Amazon Athena. If you simply run queries without considering the optimal data layout on Amazon S3, it results in a high volume of data scanned, long-running queries, and increased cost.

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How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

When IBM Consulting’s Neeraj Manik spoke recently with a large pharmaceutical client about how to streamline and improve its front-office and back-office financial processes, he pointed to a web of interconnected business challenges the organization was facing: “too many invoices, too many suppliers, too much money being paid to suppliers,” as Manik put it.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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From details to big picture: how to improve security effectiveness

CIO Business Intelligence

Benjamin Franklin once wrote: “For the want of a nail, the shoe was lost; for the want of a shoe the horse was lost; and for the want of a horse the rider was lost, being overtaken and slain by the enemy, all for the want of care about a horseshoe nail.” It’s a saying with a history that goes back centuries, and it points out how small details can lead to big consequences.

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How WalkMe Digital Adoption Platform Protects Its Sensitive Data

Laminar Security

Countless organizations have been racing to the cloud to speed up innovation, improve data-driven decisions, and make data available to the entire organization (aka data democratization ). WalkMe, a digital adoption platform, was no exception. Their product enables customers to monitor their internal software usage, track their digital transformation efforts, and manage change with tools for onboarding, training, and adoption initiatives.

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How to Craft a Cloud Experience Without Busting the IT Budget

CIO Business Intelligence

Today’s technology leaders grapple with a paradox. They must do more with less while facilitating the work required to transform the business. That requires investing in digital capabilities that lead to desired business outcomes. Data suggests IT leaders will spend despite a challenging macroeconomic environment that includes inflation, snarls in the supply chain and other financial pressures.

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What is The Difference Between BI and Analytics?

Jet Global

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. This of course makes us wonder: what’s the difference? The short answer is: it depends on who you ask. As Timo Elliot, Innovation Evangelist at SAP so eloquently put it , “everybody has an opinion, but nobody knows, and you shouldn’t care.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Converged endpoint management: reduce cost, complexity, and risk

CIO Business Intelligence

Prevention is always better than cure. In cybersecurity, it’s also usually cheaper and less likely to expose the organization to reputational, financial, and compliance risk. That’s why prevention-first security is a best practice for delivering cyber-hygiene across enterprise endpoints. The challenge is that endpoint security and management teams often work in silos, using separate point products.

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