Wed.Dec 20, 2023

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OpenAI Prepares for Ethical and Responsible AI

Analytics Vidhya

OpenAI, the renowned artificial intelligence research organization, has recently announced the adoption of its new preparedness framework. This comprehensive strategy mainly aims to measure and forecast potential risks associated with AI development. Meanwhile, it also emphasizes OpenAI’s commitment to halt deployment and development if safety mitigations fall behind.

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A Simple Guide to Running LlaMA 2 Locally

KDnuggets

We will learn a simple way to install and use Llama 2 without setting up Python or any program. Just download the files and run a command in PowerShell.

Modeling 149
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AI Accurately Predicts the Future!

Analytics Vidhya

In a groundbreaking revelation, artificial intelligence (AI) has demonstrated the ability to predict future events in people’s lives, including estimating the time of death. A collaborative research project from DTU, University of Copenhagen, ITU, and Northeastern University in the US has harnessed the power of transformer models, similar to ChatGPT, to analyze vast amounts of […] The post AI Accurately Predicts the Future!

Modeling 329
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The Best Data Science Resources, Bootcamp, and Courses to Learn Data Science in the New Year

KDnuggets

We've partnered with Springboard, the leading data science bootcamp offering personalized 1:1 mentorship, dedicated career support, proven outcomes, and an unbeatable money-back job guarantee, to present a handpicked collection of resources to supercharge your data science journey in the coming year.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Accenture Opens New Generative AI Studio in Bengaluru

Analytics Vidhya

In a strategic move to enhance its capabilities in the realm of artificial intelligence, Accenture has recently inaugurated a state-of-the-art Generative AI Studio in Bengaluru, India. This development aligns with the company’s commitment to invest $3 billion in data and AI over the next three years. The studio, nestled within Accenture’s Innovation Hub, aims to […] The post Accenture Opens New Generative AI Studio in Bengaluru appeared first on Analytics Vidhya.

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7 Reasons Why You’re Struggling to Land a Data Science Job

KDnuggets

Still struggling to land a role in data science? Learn how you can navigate the job market better, land more interviews, and convert them to job offers!

More Trending

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Generative AI: the Shortcut to Digital Modernisation

CIO Business Intelligence

THE BOOM OF GENERATIVE AI Digital transformation is the bleeding edge of business resilience. For years, it was underpinned by the adoption of cloud and the modernisation of the IT platform. As transformation is an ongoing process, enterprises look to innovations and cutting-edge technologies to fuel further growth and open more opportunities. Notably, organisations are now turning to Generative AI to navigate the rapidly evolving tech landscape.

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Understanding Mosaic Data Augmentation

Analytics Vidhya

Introduction Data augmentation encompasses various techniques to expand and enhance datasets for machine learning and deep learning models. These methods span different categories, each altering data to introduce diversity and improve model robustness. Geometric transformations, such as rotation, translation, scaling, and flipping, modify image orientation and structure.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

Most enterprises are committed to a digital strategy and looking for ways to improve the productivity of their workforce. At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. “Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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The Difference Between Generative AI vs Traditional AI

Analytics Vidhya

Introduction Artificial intelligence has transformed numerous industries, empowering machines to take on roles traditionally reserved for humans. From chatbots to ChatGPT, AI is revolutionizing an organization’s operations by introducing unprecedented efficiency, responsiveness, and innovation. Within the expansive domain of AI, two distinct paradigms stand out—Generative AI and Traditional AI.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Zen and the art of platform engineering

CIO Business Intelligence

Achieving and maintaining any sense of Zen requires a commitment to keeping everything in balance. Too much of any one thing inevitably creates levels of friction that, over time, become unsustainable. Within a DevOps context, the current manifestation of Zen is organizations embracing platform engineering methodologies that enable them to standardize around a common set of tools and practices, all while empowering – without burdening – their developers.

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Building a MultiModal Chatbot with Gemini and Gradio

Analytics Vidhya

Introduction Google has become the center of attention since the announcement of its new Generative AI family of models called the Gemini. As Google has stated, Google’s Gemini family of Large Language Models outperforms the existing State of The Art(SoTA) GPT model from OpenAI in more than 30+ benchmark tests. Not only in textual generations […] The post Building a MultiModal Chatbot with Gemini and Gradio appeared first on Analytics Vidhya.

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New Amazon CloudWatch log class to cost-effectively scale your AWS Glue workloads

AWS Big Data

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. One of the most common questions we get from customers is how to effectively optimize costs on AWS Glue.

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Does Google Gemini Pose a Real Threat to ChatGPT?

Analytics Vidhya

Google DeepMind’s recent announcement of Gemini, its latest AI model, has sparked a comparison with OpenAI’s ChatGPT, reigniting the competition in the realm of generative AI. Both Google’s Gemini and OpenAI’s ChatGPT are notable examples of generative AI, albeit with distinct approaches and functionalities. The Rise of Gemini Google has unveiled Gemini as its new […] The post Does Google Gemini Pose a Real Threat to ChatGPT?

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Paving the way for generative AI proficiency in the workplace

CIO Business Intelligence

I was recently at a dinner party where another guest asked me to explain what I do for work. When I mentioned that part of my job involves thought leadership around digital trends like generative AI, the first comment was, “Wow, you must be busy this year.” It’s a natural conclusion to come to: Even for those of us who don’t work with emerging technologies day to day, the speed at which headlines come out means it’s been almost impossible to avoid conversations and debates about the rise of gene

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10 New Year Resolutions for Every Data Scientist

Analytics Vidhya

Introduction As we approach the new year, many of us engage in introspection, reflecting on the past and formulating resolutions to guide ourselves toward better goals in the future. As a data scientist, I contemplate my aspirations for the upcoming year with diverse goals. I envision harnessing cutting-edge technologies and refining analytical skills to unravel […] The post 10 New Year Resolutions for Every Data Scientist appeared first on Analytics Vidhya.

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Rackspace’s Brian Lillie on the importance of leadership principles

CIO Business Intelligence

Brian Lillie is president of Private Cloud at Rackspace and had previous technology leadership roles at Equinix, Verisign, SGI, and the United States Air Force, so he’s worked hard to define his leadership style. The first step was to define his purpose. After leaving Equinix in 2019, he hiked the Camino de Santiago in Spain, became a life coach through UC Davis Extension, and in 2020, took a Stanford philosophy course on the meaning of life.

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11 Outstanding Papers Presented at NeurIPS 2023

Analytics Vidhya

Introduction The Neural Information Processing Systems (NeurIPS) 2023 conference, a premier event in the AI and machine learning field, set new benchmarks in research and collaboration. This year’s conference attracted a record-breaking 13,321 submissions. The rigorous review process, conducted by over 1,100 Area Chairs, 100 senior area chairs, and 396 Ethics reviewers, led to the […] The post 11 Outstanding Papers Presented at NeurIPS 2023 appeared first on Analytics Vidhya.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Explainer: Building a high-performing last-mile delivery software

CIO Business Intelligence

Last-mile troubles and unforeseen complications can crop up at times and cause unexpected delays. This has put immense pressure on IT leaders to deploy the best last-mile delivery software to safely and accurately transfer packages. This is the most crucial aspect in the entire delivery process as it directly influences the end user. The staff monitoring the logistics management systems are at their wit’s end, trying to compensate for the lost time.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. Yet navigating the complexities of building and managing a hybrid environment poses unique challenges. To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives.

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GraphDB in Action: Smells Like Semantics Spirit

Ontotext

As knowledge graphs have made their way into more and more areas of our lives through smarter search and immersive information navigation, they are also gradually turning into the default way we expect to interact with knowledge. When we search for people, documents, places, and events, we are now able not only to use a bunch of keywords, but to also ask questions and receive answers about a given subject of interest.

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Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. Businesses increasingly recognize AI solutions as critical differentiators in competitive markets and are ready to invest heavily to streamline their operations, improve customer experiences, and boost top-line growth. That’s why we’re building an ecosystem of technology providers to make it easier, more economical, and safer for our customers to maximize the value they get from AI

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Five machine learning types to know

IBM Big Data Hub

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications. The validation and training datasets that undergird ML technology are often aggregated by human beings, and humans are susceptible to bias and prone to error.

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Forrester Study Shows Organizations Lack the Capabilities Needed to Operationalize Generative AI at Scale

Dataiku

You might remember our data leaders survey with Databricks from June where we learned that 45% of organizations were already experimenting with Generative AI, while more than 60% said they planned to use it within the year. Well, six months have passed since then and, with the analytics and AI landscape evolving so rapidly since Generative AI came on the scene, we knew we wanted to take the conversation even further.

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How to build a successful AI strategy

IBM Big Data Hub

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia.

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CIO Business Intelligence

企業は、ビジネスクリティカルなアプリケーションをクラウドで稼働させることを一旦決めたら、他のプロバイダーに移行することはほとんどない。その大きな理由の1つは、多くの場合、選択したプロバイダーのエコシステムにロックインされているからだ。移行コストは単純に高すぎると、ガートナーのクラウドサービス・テクノロジー担当副社長シド・ナグは言う。「しかし、きちんと計画を立てれば、アプリケーションを移行する必要はないはずです」と彼は言う。 プロフェッショナル・サービス企業Globantのクラウドオペレーションおよびサイバーセキュリティ・スタジオ・パートナーであるパブロ・デル・ジュディチェは、組織を正しく配置すれば移行は可能だと付け加える。そして、彼と彼のチームはそれを成功させている。「重要なのは、オープンなプラットフォームとフレームワークを戦略的に採用し、クラウド・プロバイダーをインフラレイヤーの役割に追いやることだ。

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Business strategy examples

IBM Big Data Hub

A successful business strategy dictates the allocation of resources and outlines how a company will achieve its strategic goals. Whether the organization is focused on developing new products or marketing an existing service to an under-served demographic, having a solid strategy will help an organization realize its long-term goals. Typically, a strategy will be informed by core business objectives and keep key performance indicators (KPIs) in mind.

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How IT nurtures a work-life balance at Baptcare

CIO Business Intelligence

With about 3,800 staff and operations across Victoria, South Australia, and Tasmania, Baptcare is a purpose-driven non-profit providing residential and community aged care, as well as support to children, families, and people seeking asylum. How all those demands dovetail into IT is testament to the work fulfilled by CIO Suzanne Hall and her team. “Being a non-profit and purpose-driven organization, we provide opportunities for staff to achieve positive outcomes on a daily basis,” Hall says.

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Unlocking success: Key components of a winning customer experience strategy

IBM Big Data Hub

Customer experience strategy (CX strategy) is when organizations optimize customer engagements to create happy customers, drive customer loyalty and help to recruit new customers. Providing a better customer experience takes into consideration the entire customer journey and every customer touch-point. It identifies new customers through awareness, consideration, and purchase, aims to retain customers, and drives word-of-mouth through the post-purchase phase.

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Getting the most out of IBM Cloud VPC images

IBM Big Data Hub

Images are used to create instances on IBM Cloud VPC. Depending on your needs, you can select a stock image, a custom image or a catalog image. What are stock images? A stock image is the out-of-the-box operating system customized for IBM Cloud VPC environments. It is used to deploy virtual servers or bare metal servers using different architecture types.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.