Mon.Dec 18, 2023

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Top 12 Data Science Leaders to Follow in 2024

Analytics Vidhya

In the burgeoning realm of data science, the advent of 2024 heralds a pivotal moment as we cast our spotlight on a select cohort of luminaries driving innovation and shaping the future of analytics. The ‘Top 12 Data Science Leaders List’ serves as a beacon, celebrating these individuals’ exceptional expertise, visionary leadership, and substantial contributions […] The post Top 12 Data Science Leaders to Follow in 2024 appeared first on Analytics Vidhya.

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ChatGPT isn’t an AI strategy—but it should be a strategic tool

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax For all the deserved enthusiasm about the potential of generative AI, “ ChatGPT is not your AI strategy ” remains sound advice. That said, it’s still worthwhile to think about how to use large language model (LLM)-powered tools like ChatGPT in more strategic ways. New research from Microsoft on use of its Copilot AI assistant points to ways that everyone—from the most junior individual contributor to the CEO—can lean in to doing so in any

Strategy 132
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Trending Sources

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Unlocking the Power of Containers: Exploring the Top 20 Docker Containers for Every Development Need

Analytics Vidhya

Introduction Docker containers have emerged as indispensable tools in the fast-evolving landscape of software development and deployment, providing a lightweight and efficient way to package, distribute, and run applications. This article delves into the top 20 Docker containers across various categories, showcasing their features, use cases, and contributions to streamlining development workflows.

Software 295
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4 ways CISOs can manage AI use in the enterprise

CIO Business Intelligence

Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. That column may have been the understatement of the year. Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. A primary fear is that employees, partners, and organizational stakeholders might share everything from private data to source code into public large language models (LLMs), expose pr

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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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Free Harvard Course: Introduction to AI with Python

KDnuggets

Looking for a great course to learn Artificial Intelligence with Python? Check out this free course from Harvard University.

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COP28: Why AI is the best ally to combat climate change

CIO Business Intelligence

Artificial Intelligence has emerged as a powerful tool to address the challenges of climate change. From climate modelling to energy management, optimizing renewable energy and adapting to extreme weather events, AI is deploying its power to improve our fight against climate change. AI methods based on machine learning allow us to model climate and weather, identify patterns and make accurate predictions of changes in global temperature by analyzing large amounts of weather and climate data.

More Trending

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“Cloud adoption momentum in the GCC will gain further impetus in 2024”

CIO Business Intelligence

This year, GenAI and Large Language Models, such as ChatGPT, are positioned as vectors of change. Developing generative AI implementation strategies will be imperative for technology leaders, prioritizing key areas such as business model building, internal operational improvements, risk mitigation, and overall organizational efficiency. As we approach the year 2024, Jyoti Lalchandani discusses with CIO Middle East 2024’s top tech trends and future CIO challenges.

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5 Reasons Data-Driven SEO Agencies Are the Future

Smart Data Collective

Data analytics is undoubtedly the future of the marketing profession. Businesses spent $3.9 billion on marketing analytics in 2021 and that figure is likely to reach $14.3 billion by 2031. Big data technology has led to tremendous changes in the marketing realm in recent years.

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IBM to buy StreamSets and webMethods from Software AG for $2.3B

CIO Business Intelligence

IBM is bolstering its portfolio in artificial intelligence and hybrid cloud services, announcing a move to acquire Software AG’s enterprise integration platforms. The tech giant will shell out € 2.13 billion ($2.33 billion) to bring the StreamSets and webMethods platforms into its fold. In October, Software AG launched Streamsets and webMethods as its Super Ipaas business.

Software 105
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Troubleshoot your network with DNS Insights

IBM Big Data Hub

It is relatively simple to see that something is wrong with your network using DNS data. A spike in NXDOMAIN responses or other errors usually serves as a clear indication that something is amiss. The next step—diagnosing the source of the problem and then actually doing something about those errors—is often a heavier lift. It is a data problem.

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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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e& and Huawei Launch Middle East’s First Net-zero 5G Massive MIMO Site

CIO Business Intelligence

At the recent UN Climate Change Conference (COP28), Huawei and e& announced the inauguration of the region’s ground-breaking net-zero 5G massive MIMO site, setting new benchmarks in sustainability and technological innovation. This site is powered entirely by renewable energy and represents the convergence of sustainability and cutting-edge wireless technology.

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How NS1 ensures seamless DNS migrations

IBM Big Data Hub

Migrating a mission-critical system like authoritative DNS is always going to involve some amount of risk. Whenever you’re flipping a switch from one infrastructure provider to another, the possibility of downtime is always lurking in the background. Unfortunately, many network admins use this risk potential as a reason to continue using an authoritative DNS service that no longer adds business value.

Risk 81
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EU AI Act, c’è l’accordo. Ecco che cosa cambia adesso per i CIO

CIO Business Intelligence

Manca ancora il testo definitivo dell’AI Act, ma l’accordo provvisorio c’è: la presidenza del Consiglio dell’Ue e i negoziatori del Parlamento europeo hanno trovato un’intesa sulla legge europea che regola l’intelligenza artificiale. E adesso è il momento per le imprese e i loro CIO di mettersi al passo. L’accordo è arrivato dopo negoziati contrastati, all’interno di un iter legislativo che è iniziato due anni fa e che, nel frattempo, ha dovuto fare i conti con una novità dirompente: l’ intellig

Testing 96
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Types of business strategy

IBM Big Data Hub

In today’s business environment, regardless of the product or service, leaders must develop a well-honed business strategy. Without clarity and intention, even the most innovative companies are unlikely to succeed. A successful business strategy must clearly define an organization’s objectives, decision-making processes and long-term business goals.

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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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??????????CIO????????Listen, Drive, Care

CIO Business Intelligence

優秀な人材は、成功を推進する資質を備えたリーダーの下で働きたいと思っている。そして、そのようなリーダーにとって、信頼性は王様なのだ。 世界最大級のアルミホイールサプライヤーであるスペリオール・インダストリーズのCIO、ダーレーン・テイラー氏は、彼女の「ストリート・クレジット」を、最初は自動車設計と製造のエンジニアとして、次に「モーター・シティ」の巨大企業数社でITリーダーとして、責任ある役割を担ってきた過去の経験によるものだとしている。 「私の血管にはモーターオイルが流れている」とテイラーは言う。デトロイト出身のテイラーは、ミシガン大学で機械工学を専攻し、自動車業界に入ってからは、社内のチームを率いて複雑なテクノロジー・イニシアチブを推進してきた。ミシガン州女性技術者協議会(MCWT)の最高使命責任者として、またT200のメンバーとして、地域社会の変革を推進してきた。

IT 94
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Building Systematic Trust in AI Beyond the EU AI Act

Dataiku

With the provisional agreement on the EU AI Act reached last week, it is tempting for companies to take the easy path and tailor their response precisely to the law. However, this narrow approach does not prepare the organization for additional rules and regulations in other jurisdictions or unforeseen circumstances. The best strategy for global organizations is to create a resilient system which allows for adaptation while ensuring trust in AI models, projects, and programs.

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What Is Rum data and why does it matter?

IBM Big Data Hub

What is RUM data? Contrary to what you might think, RUM data isn’t a performance indicator for Captain Morgan, Cuban tourism or a Disney film franchise. Real User Monitoring (RUM) data is information about how people interact with online applications and services. Think of it like an always-on, real-time survey of what your users experience online.

IT 74
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5 Use Cases of DALLE-3

KDnuggets

Learn how you can use DALL-E 3 to make your life a little bit easier (or a lot).

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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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5 things to know: Driving innovation with AI and hybrid cloud in the year ahead

IBM Big Data Hub

As we look ahead to 2024, enterprises around the world are undoubtedly evaluating their progress and creating a growth plan for the year to come. For organizations of all types—and especially those in highly regulated industries such as financial services, government, healthcare and telco—considerations including the rise of generative AI, evolving regulations and data sovereignty laws and ongoing security challenges must be top of mind.

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Why driving a sustainable IT strategy requires a holistic approach

CIO Business Intelligence

Enterprises are under increasing pressure from consumers, investors and regulators to demonstrate their sustainability credentials. The position is stark: data shows global temperatures may rise by 2.4-2.6 degrees Celsius by the end of the century [1] , surpassing the 1.5 degree rise the world was trying to avert. Businesses certainly are working toward sustainability goals.

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Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature

AWS Big Data

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. You can visually build the workflow by wiring individual data pipeline tasks and configuring payloads, retries, and error handling with minimal code.

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A look into the lifecycle of software-defined infrastructure with NTT DATA’s Technology Solutions

CIO Business Intelligence

Clients are becoming more outcomes-focused, judging the purchasing value of our solutions and services against the value of the outcomes they seek. Technology Solutions’ dominant model revolved around hardware products. Providers sell solutions that clients incorporate into their own operations. While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models.

Software 119
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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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How to optimize application performance with NS1 traffic steering

IBM Big Data Hub

“I want it now!”—This isn’t just a phrase spoiled children sing ; it’s what we demand every time we click a link, stream video content or access an online application. As internet traffic grows in volume and complexity, our expectations for faster response times from the services and content we use rises. We often click away if instant results aren’t provided.

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A perfect match: How tech promoted a small soccer team to the top

CIO Business Intelligence

The story of TSG Hoffenheim, the football club from Sinsheim, Germany, has it all: a small German town, a seventh division team dreaming big, the return of an old acquaintance who comes to save the club of his youth, and the exciting advancement of the team from the lowest ranks to the highest division of professional soccer in Germany. It’s also a story closely linked to one of the world’s largest software companies.

Sales 52
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Why you shouldn’t use Global Anycast DNS in China

IBM Big Data Hub

Anycast is a standard, table-stakes feature of every authoritative DNS service. It makes sense: inbound queries should always be routed to the best available servers—usually the ones that are geographically closest. Yet, there is one glaring exception: China. The internet in mainland China is walled off from the rest of the world. Any DNS query that crosses into or out of mainland China must pass through a series of filters and other controls before it can be passed along for resolution.

Risk 82
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Top 23 Dataviz Resources of 2023

Depict Data Studio

9,200 total participants in my dataviz courses so far (and ~25,000 taught virtually and in-person over the past decade). 32 new blog posts : 28 from me , and 4 from guest authors. 2 more YouTube videos (115 total). 2 more podcast interviews. 2 more babies. 6 months off. What a year. Top 23 Dataviz Resources of 2023 Want to do some year-end learning as 2023 winds down?

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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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How DNS traffic steering extends the business value of hybrid and multicloud networking

IBM Big Data Hub

In the most recent version of its “Cloud Hype Cycle,” Gartner placed multi-cloud network operations in the “peak of inflated expectations, perilously close to the ‘trough of disappointment.'” While this may reflect the state of both hybrid and multicloud networking at an aggregate level, there is an abundance of nuance lurking underneath Gartner’s assessment.

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IT leaders’ top 9 takeaways from 2023

CIO Business Intelligence

CIOs confronted a host of issues over the past year, with economic, political, and technology events creating both uncertainties and opportunities for organizations across all sectors. Curious about what it all meant, we asked IT leaders to look back on the somewhat tumultuous year and reflect on what they learned. Here are the key takeaways they shared and how those insights will shape their actions as IT leaders moving forward. 1.

IT 137
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AWS re:Invent 2023 Amazon Redshift Sessions Recap

AWS Big Data

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning (ML), data sharing and monetization, and more.