Tue.Nov 28, 2023

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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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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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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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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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5 Ways You Can Win Faster with Gen AI in Sales

Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.

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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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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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The Importance of Identity Management in Security

CIO Business Intelligence

It’s ever more challenging in today’s work-from-anywhere world to prevent cybersecurity breaches. And while all organizations work hard to prevent attacks through traditional security measures such as multi-factor authentication, patching, training, and more, the bad guys increasingly find their way in through poorly thought-out, scattered access and identity management practices.

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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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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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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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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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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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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10 Ways to Leverage Buyer Signals and Drive Revenue

In today’s ultra-competitive markets, it’s no longer enough to wait for buyers to show obvious signs of interest. Instead, sales teams must be proactive, identifying and acting on nuanced buyer behaviors — often before prospects are fully ready to make a purchase. In this eBook from ZoomInfo & Sell Better, learn 10 actionable ways to use these buyer signals to transform your sales strategy and close deals faster.

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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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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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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.