Tue.Nov 28, 2023

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Generative AI in the Enterprise

O'Reilly on Data

Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race.

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India’s Ola CEO Bhavish Aggarwal Ventures into AI Development

Analytics Vidhya

In the dynamic tech landscape, India is carving out its niche with an ambitious new player in the AI domain. Ola CEO Bhavish Aggarwal spearheads the latest innovation, named ‘Krutrim,’ poised to make waves both local and international. This homegrown solution aims to showcase the prowess of Indian technology on a global stage. The Genesis […] The post India’s Ola CEO Bhavish Aggarwal Ventures into AI Development appeared first on Analytics Vidhya.

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What you don’t know about data management could kill your business

CIO Business Intelligence

IT leaders take note: At your likely current trajectory, your organization is the Titanic and its data is the iceberg. To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. And yes, data has enormous potential to create value for your business, making its accrual and the analysis of it, aka data science, very exciting.

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11 Python Magic Methods Every Programmer Should Know

KDnuggets

Want to support the behavior of built-in functions and method calls in your Python classes? Magic methods in Python let you do just that! So let’s uncover the method behind the magic.

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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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8 tips for unleashing the power of unstructured data

CIO Business Intelligence

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. For many enterprises, unstructured data, in the form of text, video, audio, social media, imaging, sensor, and other formats, remains elusive and untapped.

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Mastering Web Scraping with BeautifulSoup

KDnuggets

This is a great guide for anyone who wants to learn Web Scraping. It can help you understand the basics of Web Scraping with BeautifulSoup and how to use it.

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More Trending

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How Big Data Is Saving Lives in Real Time: IoV Data Analytics Helps Prevent Accidents

KDnuggets

This posts talks about what needs to be taken care of in IoV data analysis, and shows the difference between a near real-time analytic platform and an actual real-time analytic platform with a real-world example.

Big Data 109
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The hybrid approach: Get the best of both mainframe and cloud

CIO Business Intelligence

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization. But getting to that point presents some unique challenges.

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Announcing zero-ETL integrations with AWS Databases and Amazon Redshift

AWS Big Data

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. To run analytics on their operational data, customers often build solutions that are a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline.

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Making sense of zero trust – why a managed SASE solution is the ideal option for enterprises

CIO Business Intelligence

Remote working and cloud computing are among the most significant trends in the global business landscape, unlocking innovation but also increasing attack surfaces and creating opportunities for cyber attackers. To mitigate these threats, businesses are turning to a new generation of cybersecurity solutions – with research showing Secure Access Service Edge (SASE) at the forefront.

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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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Cloudera’s QATS Certification for Dell PowerScale Unleashes a New Era of Data Management

Cloudera

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI.

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Best practices for augmenting human intelligence with AI

IBM Big Data Hub

Artificial Intelligence (AI) should be designed to include and balance human oversight, agency, and accountability over decisions across the AI lifecycle. IBM’s first Principle for Trust and Transparency states that the purpose of AI is to augment human intelligence. Augmented human intelligence means that the use of AI enhances human intelligence, rather than operating independently of, or replacing it.

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Self-Serve Analytics Supports Continuous Improvement!

Smarten

Using Analytics to Encourage Continuous Improvement Can Help Every Business! If you want to encourage and enable continuous improvement within your enterprise, analytics can go a long way toward helping you achieve your goal. When you provide access to augmented analytics solutions for your business users, you distribute knowledge and engender fact-based decision making, helping your users to accurately complete tasks and plan for future success.

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1 Year Staying VIGILANT

Ontotext

It’s been a year since the VIGILANT consortium gathered for the project’s kick-off meeting when 17 European partners spanning academia, industry, government research centers, and Police Authorities (PAs) gathered together in Dublin, Ireland. The aim of the project is to help PAs detect and analyze disinformation from multiple online sources, modalities, and languages.

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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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Code to Cure: Crafting the Future of Life Sciences With AI Use Cases

Dataiku

The landscape of life sciences is rapidly evolving, driven by technological shifts and the digitalization wave. At the forefront of this transformation is the integration of advanced analytics and AI. This blog features insights from the Dataiku Life Sciences Use Case Library to help life sciences organizations understand how to harness the power of these technologies with the help of Dataiku.

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Supporting volunteer monitoring of marine biodiversity with modern web and data tools

Data Science and Beyond

Summarising the work Uri Seroussi and I did to improve Reef Life Survey’s Reef Species of the World app.

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Why data virtualization is critical for business success

CIO Business Intelligence

Businesses today are sitting on vast amounts of data, which has the potential to unlock new opportunities and avenues to stay one step ahead of the competition. But data doesn’t always come in a neatly packaged format, ready to be sorted, analyzed, and used in decision-making or analysis. Enterprises are highly complex operations that often maintain and produce a mountain of data, both structured and unstructured.

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Embracing the Tech Wave: Three Ways to Do More With Less With Your Tax Reporting

Jet Global

Tax has always been a critical pillar of the global economy, ensuring compliance and financial stability. As businesses navigate the ever-changing landscape of tax regulations, they face the ongoing challenge of increasing productivity while minimizing costs. In this digital era, the rising need for technical data skills has become indispensable for tax professionals looking to do more with less.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

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Hubble Upgrades Strengthen Your JD Edwards and Oracle EBS Reports

Jet Global

Your JD Edwards and Oracle E-Business Suite (EBS) reporting teams face numerous calculation issues while gathering and analyzing data for your financial and operational reports. These challenges arise from complex financial calculations and data accuracy roadblocks. A closer look into these issues reveals that your teams are facing: Financial processes such as month-end close take too many days to complete.