Tue.Apr 11, 2023

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Alibaba’s ChatGPT Rival to Change the Way People Live and Work

Analytics Vidhya

Daniel Zhang, the CEO of Chinese tech giant Alibaba, has unveiled plans to introduce their AI-powered chatbot, Tongyi Qianwen. Alibaba’s chatbot, believed to be the Chinese rival of ChatGPT, will be integrated across the company’s range of businesses. With generative AI becoming increasingly popular, the groundbreaking chatbot is expected to enhance user experiences, streamline business […] The post Alibaba’s ChatGPT Rival to Change the Way People Live and Work appeared first o

Analytics 301
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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms In the webinar “Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms,” James Royster, Vice President of Commercial Operations, Insights, and Analytics at Karuna Therapeutics, shared his insights on leading efficient and effective data analytics teams.

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Unleash Your Data Insights: Learn from the Experts in Our DataHour Sessions

Analytics Vidhya

Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science. This blog post introduces a series of upcoming […] The post Unleash Your Data Insights: Learn from the Experts in Our DataHour Sessions appeared first on Analytics Vidhya.

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Automated Machine Learning with Python: A Case Study

KDnuggets

How to Automate the Complete Lifecycle of a Data Science Project using AutoML tools, which reduces the programming effort for implementation with H2O.ai.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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China Takes Bold Step to Regulate Generative AI Services

Analytics Vidhya

China Unveils New Regulations for Artificial Intelligence In a move to strengthen its position as a global AI leader, China has taken a bold step to regulate generative AI. China’s Cyberspace Administration has released draft measures for managing generative AI services. The draft aims to regulate AI services and applications, ensuring proper oversight and accountability […] The post China Takes Bold Step to Regulate Generative AI Services appeared first on Analytics Vidhya.

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Accelerating innovation with cloud-native apps on Microsoft Cloud

CIO Business Intelligence

The financial services sector is undergoing rapid change as fintechs develop convenient, consumer-focused services that were once the province of traditional banks. We spoke with Siddhartha Gupta, Global Head of Application Modernization on Azure at Tata Consultancy Services (TCS) , about this trend and what financial services organizations need to do to improve their capacity for agility and innovation.

More Trending

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plusserver: Offering a sovereign GDPR-compliant cloud “made in Germany”

CIO Business Intelligence

Alexander Wallner, CEO of plusserver, believes the importance of the sovereign cloud services and solutions needed to ensure that data is protected, safe, and compliant cannot be overemphasized. He is also quick to point out that plusserver takes responsibility for the cloud-based operations of its growing customer base, which includes enterprises across industries and throughout Germany’s public and private sectors.

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18 Must-Have Marketing Automation Tools to Streamline Your Marketing Efforts!

Analytics Vidhya

In the current era of digitalization, where almost everything is getting automated, it is challenging for businesses to stand out from the crowd. Employing cutting-edge automation technology is the wisest move to thrive in the market. Marketing automation tools improve productivity and clear up time and energy that often is efficiently used for tasks that are on […] The post 18 Must-Have Marketing Automation Tools to Streamline Your Marketing Efforts!

Marketing 270
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Novanta’s Sarah Betadam on transforming the IT model status quo

CIO Business Intelligence

Over the next five years, the healthcare industry is expected to go through dramatic changes as service providers expand value-based care models and equipment manufacturers strive to keep pace in a digital-first world. One factor driving global transformation is the push to bring healthcare services, as well as responsibilities and control, closer to consumers.

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It’s the Amazon QuickSight Community’s 1st birthday!

AWS Big Data

Happy birthday Amazon QuickSight Community! We are celebrating 1 year since the launch of our new Community. The Amazon QuickSight Community website is a one-stop-shop where business intelligence (BI) authors and developers from across the globe can ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. In this post, we celebrate the rapid growth of our first year of the QuickSight Community, discuss new Community features, and share voices from our Commu

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How IBM invests in opportunities to reach maximum equitable impact

IBM Big Data Hub

At IBM, we strive each day to achieve our purpose; to be the catalyst that helps makes the world work better. We endeavor to be at the forefront of groundbreaking changes in the industries we serve and the global community at large. None of this would be possible without skilled and talented IBMers. Businesses should make equity in the workplace a priority.

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How ChatGPT Works: The Model Behind The Bot

KDnuggets

A brief introduction to the intuition and methodology behind the chatbot you can’t stop hearing about.

Modeling 107
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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them. The consequences of poor inventory management can be severe. Overstocking can lead to increased holding costs and waste, while understocking can result in lost sales, reduced customer satisfaction, and damage to the b

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Introducing TPU v4: Googles Cutting Edge Supercomputer for Large Language Models

KDnuggets

TPU v4: Google's fifth domain-specific architecture and third supercomputer for machine learning models.

Modeling 105
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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IBM’s enduring commitment to environmental leadership

IBM Big Data Hub

At IBM, we have been working for many years to continually build a more environmentally sustainable future for all. This year is the 33 rd consecutive time in which IBM has publicly reported its environmental performance. Since issuing its first environmental policy over 50 years ago, IBM has been committed to environmental leadership with both concrete goals and demonstrable results.

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Aruba AIOps for NaaS IT efficiency

CIO Business Intelligence

By: Trent Fierro, Head of Content and Operations at Aruba, a Hewlett Packard Enterprise company. When doing something on your own, you’ll usually give yourself a little leeway, but bringing in help that is paid often creates an expectation gap. This happens because most customers expect that a service provider will meet or exceed what they’re delivering based on experience and the financial commitment.

IT 52
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How our commitment to ethics, trust and transparency is differentiating IBM

IBM Big Data Hub

Emerging technologies and the rapid development of innovations are raising questions and challenges in today’s marketplace. At IBM, we’ve been bringing new technologies into the world responsibly and with clear purpose for more than a century. And we know that nobody can address these challenges alone. Along with policymakers, researchers, clients and other stakeholders, we proactively seek to understand these changing scenarios and develop technological and policy safeguards.

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3 key mistakes leaders make today and how to overcome them

CIO Business Intelligence

By Chet Kapoor, Chairman & CEO,DataStax Mistakes: we all make them. Whether it’s screwing up a demo in front of the entire leadership team or hiring the wrong person for a role, I can’t even count how many times I’ve made mistakes throughout my career. These moments are never easy, but they are always learning experiences–and the best leaders are always learning.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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From Generation to Supply: Electricity System Operators (Part 3)

Dataiku

“From Generation to Supply: How AI is Transforming the Energy System” is a six-part series on the many ways in which AI is helping to transform the energy sector at every stage of the generation, transmission and distribution, system operation, supply, and regulation cycle. This is Part 3. The next part will appear in May, 2023.

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3 ‘phase 0’ digital transformation errors no IT leader should make

CIO Business Intelligence

Digital transformation has embedded IT at the center of business strategy, making all organizations technology enterprises today, irrespective of their industry. Business processes, culture, workflow, and systems are all necessarily impacted by digital transformation efforts, which by definition overhaul how business gets done, expediting efficiencies, modernizing the enterprise, and — when executed well — enhancing profitability.

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5 Ways to Use Data to Boost Customer Experience

Alation

What was your last interaction with a business? Was it through a phone call, chatbot, email, or social media? How did it make you feel about the company? That interaction is called the customer experience (or CX for short). Simply put, customer experience refers to a customer’s interactions with a company and how they feel about the brand. This is also sometimes referred to as the customer journey, with each stage of the journey known as a touchpoint.

Sales 52
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Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

IBM Big Data Hub

The move towards monitoring HR tools and applications for bias is gaining traction worldwide, driven by various global and domestic data privacy laws and the US Equal Employment Opportunity Commission (EEOC). In line with this trend, the New York City Council has enacted new regulations requiring organizations to conduct yearly bias audits on automated employment decision-making tools used by HR departments.

Strategy 104
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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Applied ML Prototype Hackathon with AMD Winners

Cloudera

One of the core principles that guides Cloudera and everything we do is a commitment to the open source community. As the entire Cloudera Data Platform is built on open source projects, we find it crucial to participate in and contribute back to the community. Applied ML prototypes are one of the ways that we accomplish this. Applied ML Prototypes (AMPs) are fully built end-to-end data science solutions that allow data scientists to go from an idea to a fully working machine learning model in a

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Business Intelligence Dashboard (BI Dashboard): Best Practices and Examples

FineReport

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.