Thu.Oct 05, 2023

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Top 5 Data Analytics Certifications

Analytics Vidhya

Introduction In our era of data supremacy, the ability to decipher the language of numbers and extract meaningful insights has never been more valuable. Data analytics has transcended being just a buzzword; it has become an indispensable tool across industries, steering businesses toward success and innovation. A Data Analytics Certification is your compass to stand […] The post Top 5 Data Analytics Certifications appeared first on Analytics Vidhya.

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Augmented Analytics Buyers Guide 2023: Market Observations

David Menninger's Analyst Perspectives

The 2023 Ventana Research Buyers Guide for Augmented Analytics research enables me to provide observations about how the market has advanced.

Marketing 248
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Introduction to OpenAI Function Calling

Analytics Vidhya

According to Forbes, the AI market is predicted to reach $1,811.8 billion by 2030. Introducing the OpenAI API models like Davinci, GPT Turbo, GPT Turbo 3.5, or GPT 4 is taking the world of artificial intelligence by storm. The introduction of the OpenAI API models like Davinci, GPT Turbo, GPT Turbo 3.5, or GPT 4 […] The post Introduction to OpenAI Function Calling appeared first on Analytics Vidhya.

Modeling 341
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CBRE’s Sandeep Davé on accelerating your AI ambitions

CIO Business Intelligence

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. And those experiments have paid off.

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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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Large Language Models Demystified: A Beginner’s Roadmap

Analytics Vidhya

In today’s fast-paced digital world, the role of natural language processing and language understanding is increasingly taking center stage. Leading this transformative wave are the Large Language Models (LLMs), known for their ability to craft text that rivals human creativity and clarity. This exploration is a deep dive into the heart of LLMs, spotlighting their […] The post Large Language Models Demystified: A Beginner’s Roadmap appeared first on Analytics Vidhya.

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ST Engineering showcases applications of new technologies to stay ahead of disruption

CIO Business Intelligence

The advent of new technologies has accelerated the rate of innovation and disrupted the business landscape as we know it. As the pace of innovation speeds up, tomorrow’s front runners are those who readily embrace disruptive technologies to spearhead new business models and capture new avenues of growth. The good news is that many organisations are cognisant of the key role that new technologies play.

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A CIO’s guide to the developer platform: What it is and why you need it

CIO Business Intelligence

As today’s digital-centric landscape continues to evolve at an unprecedented pace, software agility, and speed-to-market are critical to long-term success and revenue growth for any business. Modern applications and multi-cloud strategies drive digital transformations that make this success possible, and businesses are under pressure to get better and faster at delivering applications and services to their customers, employees, and stakeholders.

IT 124
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How to Generate Audio Using Text-to-Speech AI Model Bark

Analytics Vidhya

Introduction Bark is an open-source, fully generative text-to-audio model created by Suno.ai that can generate highly realistic, multilingual speech, including background noise, music, and simple sound effects. It follows a GPT-style architecture capable of deviating in unexpected ways from any given script. Typical text-to-speech (TTS) engines produce robotic and machine-generated monotonous sounds.

Modeling 287
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From “Text Analytics” to “Text and Document Mining and Analytics Platforms”

Boris Evelson

Text analytics is a peculiar software market segment. Vendors typically have a main offering that heavily relies on text mining and analytics, but they rarely position themselves explicitly as “text analytics platforms.

Analytics 114
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How Close Are We to AGI?

KDnuggets

Will AI be able to surpass human intelligence? An article going through the current progression, and challenges of AGI.

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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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Reduce Your Data Culture Debt With People Treble: Data Literacy, Citizen Data Science, and Data Mesh

Dataiku

Our industry has talked about the three pillars of digital transformation for decades: people, process, and technology. However, most organizations implement them in the reverse order. A shiny new technology appears and we prioritize its implementation: enterprise databases, personal computers, spreadsheets, three-tier architectures, business intelligence reporting, the internet, mobile computing, big data, data mining, cloud computing, self-service business intelligence, AutoML, AI, and now Gen

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5 Free Platforms for Building a Strong Data Science Portfolio

KDnuggets

Build an irresistible portfolio that hooks recruiters with these 5 free platforms - you won't believe how easy it is!

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A year in review – vera.ai turns ONE

Ontotext

It was the 15th of September 2022 when the vera.ai project officially started and sent 14 partners from across Europe on the mission to develop and build trustworthy AI (Artificial Intelligence) solutions in the fight against disinformation. A couple of days later, the consortium got together for the first time in Marathon, Greece. That is how the vera.ai-journey started.

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Maximize Performance in Edge AI Applications

KDnuggets

This article provides an overview of the strategies for optimizing AI system performance in edge AI deployments.

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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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Unlock the Full Potential of Hive

Cloudera

In a previous blog post , we explored the power of Cloudera Observability in providing high-level actionable insights and summaries for Hive service users. In this blog, we will delve deeper into the insight Cloudera Observability brings to queries executed on Hive. As a quick recap, Cloudera Observability is an applied observability solution that provides visibility into Cloudera deployments and its various services.

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Data Security and Governance, Enhanced by Semantics

Data Virtualization

Reading Time: 2 minutes We all have an innate desire to protect what we value the most, so naturally, we lock our houses and cars, at least in a big city. The same holds true in the world of data management; we secure our. The post Data Security and Governance, Enhanced by Semantics appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Artificial intelligence was a marketing term all along – just call it automation

Data Science and Beyond

Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.

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7 sins of software development

CIO Business Intelligence

Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. If one character is out of place, the entire stack can fall. And that’s just the technical part. Opinionated programmers, demanding stakeholders, miserly accountants, and meeting-happy managers mix in a political layer that makes a miracle of any software development work happening at all.

Software 134
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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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Five Common Pitfalls on the Path to Becoming a Data-Driven Enterprise

Cloudera

Your company collects data from different sources and then you analyze the data to help make the right decisions. But you aren’t quite getting the results that you expect. Maybe the insights aren’t accurate. Perhaps the process is time consuming and cumbersome. Or you are only currently using data for a few use cases and struggle to implement organization wide.

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Define per-team resource limits for big data workloads using Amazon EMR Serverless

AWS Big Data

Customers face a challenge when distributing cloud resources between different teams running workloads such as development, testing, or production. The resource distribution challenge also occurs when you have different line-of-business users. The objective is not only to ensure sufficient resources be consistently available to production workloads and critical teams, but also to prevent adhoc jobs from using all the resources and delaying other critical workloads due to mis-configured or non-op

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Simplify data transfer: Google BigQuery to Amazon S3 using Amazon AppFlow

AWS Big Data

In today’s data-driven world, the ability to effortlessly move and analyze data across diverse platforms is essential. Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. In this blog post, you explore the new Google BigQuery connector in Amazon AppFlow and discover how it simplifies the process of transferring data from Google’s data warehouse