Wed.Mar 20, 2024

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Governance and Fighting the Curse of Complexity

CIO Business Intelligence

The task is Sisyphean. The mountain is IT complexity. The boulder is made from complex infrastructure, network connections, data stores, and devices. The person pushing the boulder up the steep slope? Every IT and security leader and worker. Will we ever rein in IT complexity? Unfortunately, not. But we can try. There are two routes up that mountain.

IoT 64
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Top 7 Companies Hiring for AI Job Roles Right Now

Analytics Vidhya

Introduction Artificial intelligence (AI) has dramatically influenced technology. It is at the edge where some industries are being revolutionized. With the development of AI, we also learn how to leverage data-driven insights to enhance decision-making, optimize processes, and innovate across various sectors. Since AI possesses the potential to change markets, its availability requires new experts, […] The post Top 7 Companies Hiring for AI Job Roles Right Now appeared first on Analytics

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Trending Sources

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French regulator fines Google $271M over generative AI copyright issue

CIO Business Intelligence

France’s competition authority fined Google, its parent company Alphabet, and two subsidiaries a total of €250 million ($271 million) for breaching a previous agreement on using copyrighted content for training its Bard AI service, now known as Gemini. The Autorité de la concurrence said Wednesday that the search giant failed to comply with a June 2022 settlement over the use of news stories in its search results, News and Discover pages.

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NVIDIA GTC Keynote | Blackwell Architecture will Accelerate AI Products in Late 2024

Analytics Vidhya

“I hope you realize this is not a concert,” said Nvidia president Jensen Huang to a packed SAP Center in San Jose. CEO Jensen Huang delivered an electrifying keynote at NVIDIA’s GPU Technology Conference (GTC) 2024, making groundbreaking announcements promising to redefine technology. With over 11,000 attendees and a global audience, the event excited and […] The post NVIDIA GTC Keynote | Blackwell Architecture will Accelerate AI Products in Late 2024 appeared first on An

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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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Collection of Guides on Mastering SQL, Python, Data Cleaning, Data Wrangling, and Exploratory Data Analysis

KDnuggets

Are you curious about what it takes to become a professional data scientist? Look no further! By following these guides, you can transform yourself into a skilled data scientist and unlock endless career opportunities.

IT 119
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MM1: Everything you Need to know About Apple’s AI Model 

Analytics Vidhya

Introduction The world of AI is a fast-moving, and Apple’s just thrown down the gauntlet with their new MM1 model. This isn’t your average AI – it’s a cutting-edge system that can understand and work with different kinds of information at once (text, pictures, maybe even sound!). Think of it as a super-powered machine learning […] The post MM1: Everything you Need to know About Apple’s AI Model appeared first on Analytics Vidhya.

Modeling 305

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Microsoft Hires DeepMind Co-Founder Suleyman for Consumer AI Business

Analytics Vidhya

Microsoft Corp. is making big moves in the AI world! They’ve hired Mustafa Suleyman, who helped start Google’s DeepMind, to lead their AI business for consumers. Microsoft is also bringing on board many talented folks from Suleyman’s old company, Inflection AI. This is all part of Microsoft’s plan to give Google a run for its […] The post Microsoft Hires DeepMind Co-Founder Suleyman for Consumer AI Business appeared first on Analytics Vidhya.

Analytics 304
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Creative Ways to Surf Your Data Using Virtual and Augmented Reality

TDAN

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene.

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Real-Time Analysis of Analytics Vidhya Blogathon Leaderboard

Analytics Vidhya

Introduction In today’s digital world, we have an ocean of information waiting to be explored online. From tracking the latest trends to understanding what makes a website tick, digging into this data can reveal all sorts of valuable insights. And that’s where web scraping comes in—a nifty technique that lets us gather data from websites […] The post Real-Time Analysis of Analytics Vidhya Blogathon Leaderboard appeared first on Analytics Vidhya.

Analytics 303
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Generative AI takes center stage in latest ServiceNow release

CIO Business Intelligence

ServiceNow’s latest platform release, dubbed Washington DC, moves the cloud-based IT management and operations software company sharply in the direction of generative AI, with new features designed to help companies working with that technology. The Washington DC platform applies generative AI technology to several of ServiceNow’s flagship solutions.

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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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AI Insights with Rajat Monga: From TensorFlow to Path of Innovation

Analytics Vidhya

Former head of TensorFlow and co-founder of Inference.io, Rajat Monga, shares insights into his AI journey. From early days at Infosys to leading projects at Google, his experience offers valuable lessons. Let’s explore his reflections on open sourcing TensorFlow and navigating AI model releases. You can listen to this episode of Leading with Data on […] The post AI Insights with Rajat Monga: From TensorFlow to Path of Innovation appeared first on Analytics Vidhya.

Modeling 295
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A Free Data Science Learning Roadmap: For All Levels with IBM

KDnuggets

Learn data science according to your expertise with these 4 different learning roadmaps.

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Microsoft Launches Autonomous AI Software Developer Against Devin AI

Analytics Vidhya

In a transformative stride, Microsoft introduces AutoDev, an AI-driven software development framework poised to redefine conventional methodologies. This paradigm shift integrates artificial intelligence (AI) into software engineering tasks, propelling autonomy, efficiency, and security to unprecedented levels. Let’s delve deeper into the revolutionary capabilities of AutoDev and its implications for the future of software development.

Software 294
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AI Act, via libera dall’Europarlamento: tutto quello che i CIO devono sapere

CIO Business Intelligence

Il Parlamento europeo ha approvato l’AI Act, la legge dell’Unione europea sull’intelligenza artificiale: dopo l’accordo raggiunto con gli Stati membri lo scorso dicembre , c’è il via libera dei deputati (con qualche modifica nel testo definitivo rispetto all’accordo politico di fine anno). Il regolamento deve essere ancora formalmente approvato dal Consiglio, ma, in pratica, è fatta: l’AI Act è legge.

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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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Google DeepMind and Liverpool FC Develop AI for Football Tactics

Analytics Vidhya

In the ever-evolving landscape of football tactics, a groundbreaking development emerges from the collaboration between Google DeepMind and Liverpool FC: TacticAI. This AI assistant redefines the game’s strategies, particularly in the crucial realm of corner kicks. Let’s delve into how this innovative AI is set to transform football tactics as we know them.

Strategy 294
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Building for operational resilience in the age of AI and hybrid cloud

IBM Big Data Hub

Each year we see the challenges that enterprises face become more complex as they strive to keep up with the latest technologies, such as generative AI, and increasing customer expectations. For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more.

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AdaHessian: Implementation, Analysis & Adam Comparison

Analytics Vidhya

Introduction Optimizing deep learning is a critical aspect of training efficient and accurate neural networks. Various optimization algorithms have been developed to improve the convergence speed. One such Algorithm is Adahessian ,which is second-order optimization method known for its effectiveness in handling complex landscapes. In this article we will delve into the working of the ada […] The post AdaHessian: Implementation, Analysis & Adam Comparison appeared first on Analytics V

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WHOIS Lookup APIs and Domain Monitoring in AI-Driven Cybersecurity

Smart Data Collective

AI is becoming more important in the realm of cybersecurity, which means that AI-driven website monitoring is more important as well.

IT 85
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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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Navigating Disruptions with Operational Agility and Resilience

Data Virtualization

Reading Time: 3 minutes In recent years, a series of global shocks – from the COVID-19 pandemic to geopolitical tensions like the Russia-Ukraine conflict – has disrupted industries worldwide, including healthcare, technology, retail, and manufacturing. These disruptions have propelled businesses into initiating or accelerating. The post Navigating Disruptions with Operational Agility and Resilience appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Ana

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Legal Issues for Data Professionals: AI Creates Hidden Data and IP Legal Problems

TDAN

As data has catapulted to a new and valuable business asset class, and as AI is increasingly used in business operations, the use of AI has created hidden data and IP risks.

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Drive Growth with Data-Driven Strategies: Introducing Zenia Graph’s Salesforce Accelerator

Ontotext

In today’s data-driven world, businesses are drowning in a sea of information. Valuable insights are scattered across diverse platforms and sources, often remaining siloed and underutilized. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. These challenges impede businesses from understanding their sales leads holistically, ultimately hindering growth.

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The End of Agile – Part 1 (A Brief History of Agile)

TDAN

In recent years, we have seen substantial pushback on many fronts against Agile as a viable and important project management methodology.

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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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Announcing data filtering for Amazon Aurora MySQL zero-ETL integration with Amazon Redshift

AWS Big Data

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. To run analytics on your operational data, you might build a solution that is a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline.

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Data Cleansing Tools for Big Data: Challenges and Solutions

TDAN

In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and actionable insights. Data cleansing, the process of detecting and correcting errors and inconsistencies in datasets, is critical to maintaining data quality.

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Payment-processing outages at UK retailers raise reliability issues for cashless transactions

CIO Business Intelligence

Payment-processing failures at several high-profile retail brands in the UK over the past week disrupted on-site customer service and stirred speculation about the cause of the outages. The problems at fast food restaurant McDonalds, supermarkets Tesco and Sainsbury’s, and bakery chain Greggs, highlight retailers’ increasing reliance on third-party payment systems and the technical issues hampering a global shift from cash to digital payments.

Software 129
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The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics

TDAN

If you are an IT professional, a business manager, or an executive, you have probably been following the progress of the citizen data scientist movement. For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon.

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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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Invoke AWS Lambda functions from cross-account Amazon Kinesis Data Streams

AWS Big Data

A multi-account architecture on AWS is essential for enhancing security, compliance, and resource management by isolating workloads, enabling granular cost allocation, and facilitating collaboration across distinct environments. It also mitigates risks, improves scalability, and allows for advanced networking configurations. In a streaming architecture, you may have event producers, stream storage, and event consumers in a single account or spread across different accounts depending on your busi

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Data Is Risky Business: The Opportunity Exists Between Keyboard and Chair

TDAN

I’m doing some research work for a thing (more on that thing later in the column).

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Migrate and modernize enterprise integration using IBM Cloud Pak for Integration with Red Hat OpenShift Service on AWS (ROSA)

IBM Big Data Hub

Integration is essential to every business. As businesses consider the core of their IT infrastructure, their focus might be on their data and applications. But without integration, the data would be locked into siloes; and the applications would be isolated and overloaded with complexity as fragile, tightly coupled connections were added to allow applications to work together and share information.

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If you invest more in AI than people, you’re doing it wrong

CIO Business Intelligence

Generative AI has the power to reinvent every facet of an organization. Companies are realizing its potential, but before they can shift their gen AI strategies from “showing promise” to “making profit,” they’ll need to answer several technology-related questions: do I have the right LLM for my industry and function; is my data foundation rigorous enough to support it; do I have the right enterprise architecture in place to make the most of new or changing models?

IT 126
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.