Tue.Sep 19, 2023

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15 Ways to Use ChatGPT for Marketing

Analytics Vidhya

Marketing is a very dynamic sector where one really struggles to stay ahead of the curve. There is a compelling urge and a need to compete or beat business rivals to attain success. Maintaining success is as crucial as attaining it. ChatGPT can be your ticket to success, a gift of technology in today’s fast-paced, […] The post 15 Ways to Use ChatGPT for Marketing appeared first on Analytics Vidhya.

Marketing 356
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Reversing the ETL Process Improves Data Operations

David Menninger's Analyst Perspectives

At one point, analytics and business intelligence were considered non-mission critical activities. One of the primary concerns in designing analytics systems was to ensure they didn’t interfere with or draw computing resources away from operational systems. But today, analytical systems are integral to many aspects of operations. More than 9 in 10 participants in our Analytics and Data Benchmark Research reported analytics had improved activities and processes.

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Bias Mitigation in Generative AI

Analytics Vidhya

Introduction In today’s world, generative AI pushes the boundaries of creativity, enabling machines to craft human-like content. Yet, amidst this innovation lies a challenge – bias in AI-generated outputs. This article delves into “Bias Mitigation in Generative AI.” We’ll explore the types of bias, from cultural to gender, and understand the real-world impacts they can […] The post Bias Mitigation in Generative AI appeared first on Analytics Vidhya.

Analytics 348
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Oracle’s Fusion Cloud CX, ERP, and SCM get generative AI features

CIO Business Intelligence

Just months after partnering with large language model-provider Cohere and unveiling its strategic plan for infusing generative AI features into its products, Oracle is making good on its promise at its annual CloudWorld conference this week in Las Vegas. Nearly all of Oracle’s Fusion Cloud suites — including Cloud Customer Experience (CX), Human Capital Management (HCM), Enterprise Resource Planning (ERP) and Supply Chain Management (SCM) — are being updated with the company’s Oracle Cloud Infr

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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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How Generative AI Transforms The Craft of Narration?

Analytics Vidhya

Introduction Since time immemorial, stories have captivated our hearts and minds with storylines that elicit emotions, stimulate creativity, and reveal important messages. But what if we could imagine that, thanks to the power of AI, we can now go beyond the limits of human storytelling and allow AI to co-author our stories? In this article, […] The post How Generative AI Transforms The Craft of Narration?

Analytics 343
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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as par

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Green Data Centers Make Data-Driven Entities More Sustainable

Smart Data Collective

The proliferation of big data has had a huge impact on modern businesses. We have a post on some of the industries that have been most affected by big data. However, it has also created some concerns about sustainability. Of course, there are some reasons big data can help make our communities more sustainable. On the other hand, data centers have large carbon footprints, so companies need to find ways to make them more energy efficient.

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Unlocking LangChain & Flan-T5 XXL | A Guide to Efficient Document Querying

Analytics Vidhya

Introduction A specific category of artificial intelligence models known as large language models (LLMs) is designed to understand and generate human-like text. The term “large” is often quantified by the number of parameters they possess. For example, OpenAI’s GPT-3 model has 175 billion parameters. Use it for a variety of tasks, like translating text, answering […] The post Unlocking LangChain & Flan-T5 XXL | A Guide to Efficient Document Querying appeared first on

Modeling 323
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The future of ERP: With composable ERP, interoperability and integration are not optional

CIO Business Intelligence

Analysis There are many facets to interoperability and integration, and any of them can derail your success with composable ERP. Interoperability embodies the ability of solution components to exchange and use data. Not only must the ability to integrate (pass data back and forth) exist, but data must be usable by the various components — and not onerously so!

Risk 111
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Leading With Data: The Art of Storytelling with Anand S.

Analytics Vidhya

Analytics Vidhya has launched its new series, ‘Leading With Data,’ where industry leaders share their experiences, career journeys, interesting projects, and more. In the debut episode of the series, Mr. Anand S., CEO and Chief Data Scientist at Gramener, was interviewed by the Founder & CEO of Analytics Vidhya, Mr. Kunal Jain. Anand is a […] The post Leading With Data: The Art of Storytelling with Anand S. appeared first on Analytics Vidhya.

Analytics 320
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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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NIST 800-171 Safeguards Help Non-Federal Networks Handling CUI

Smart Data Collective

Today, there is a pressing need for non-federal networks to utilize efficient cybersecurity measures to protect the controlled unclassified information (CUI). CUI is delicate yet unclassified government information involving matters like military equipment specifications. Although this information is unclassified, unauthorized access can have extreme economic and national security implications.

Software 107
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NVIDIA and VMware make AI accessible to enterprises with full-stack accelerated computing

CIO Business Intelligence

Enterprises are increasingly realizing the impact and value AI has on their overall digital transformation strategies. For NVIDIA, AI is at the core of digital transformation and business growth. With new technology, collaboration, and accelerated computing, AI is poised to enable businesses to make better decisions faster than ever. “NVIDIA is all-in on AI, whether it’s generative or traditional.

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Unveiling Unsupervised Learning

KDnuggets

Explore the unsupervised learning paradigm. Familiarize yourself with the key concepts, techniques, and popular unsupervised learning algorithms.

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Machine Learning in Plain English: AI Algorithms Are Your Friend

Dataiku

We often talk about machine learning in the context of predictive analysis and AI. Machine learning is, more or less, a way for computers to learn things without being specifically programmed. But how does that actually happen?

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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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The Role of Data in Automating Healthcare Processes for Improved Patient Results

Smart Data Collective

In recent years, data has become a more important aspect of business operations across a range of sectors. One space that is benefiting significantly from utilizing data in healthcare. In fact, healthcare organizations across the world are improving their operations as a result of using data to glean important insights. However, while data has brought healthcare many benefits, one of the most important of these is improved patient results.

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Don’t Miss Out! Enroll in FREE Courses Before 2023 Ends

KDnuggets

Complete the last quarter of the year and improve your skills to get you kickstarted for 2024’s self-development plan with these FREE courses.

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AI code-generation software: What it is and how it works

IBM Big Data Hub

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. The user enters a text prompt describing what the code should do, and the generative AI code development tool automatically creates the code. It can also modernize legacy code and translate code from one programming language to another.

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The Role of IT in Data Governance

TDAN

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

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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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Buying APM was a good decision (so is getting rid of it)

IBM Big Data Hub

For a long time, there wasn’t a good standard definition of observability that encompassed organizational needs while keeping the spirit of IT monitoring intact. Eventually, the concept of “Observability = Metrics + Traces + Logs” became the de facto definition. That’s nice, but to understand what observability should be , you must consider the characteristics of modern applications: Changes in how they’re developed, deployed and operated The blurring of lines betwe

IT 91
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Think Your Company Doesn’t Need a Chief Data Officer? Here Are 7 Reasons Why It Does

Cloudera

Perhaps your C-suite is already a bit crowded. The typical hierarchy will include a CEO, COO, CFO, CTO, CMO, CIO, and a few more. Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). The CDO is the point person for your data strategy: the leader who oversees how data is collected, managed, and put to use to improve the organization; the person who ensures that wherever there are opportun

IT 74
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Observing Camunda environments with IBM Instana Business Monitoring

IBM Big Data Hub

Organizations today struggle to detect, identify and act on business operations incidents. The gap between business and IT continues to grow, leaving orgs unable to link IT outages to business impact. Site reliability engineers (SREs) want to understand business impact to better prioritize their work but don’t have a way of monitoring business KPIs.

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Unveiling Neural Magic: A Dive into Activation Functions

KDnuggets

Cracking the code of activation functions: Demystifying their purpose, selection, and timing.

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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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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Through the Looking Glass: Data Provenance in the Age of Generative AI

TDAN

Am I right that you can’t open LinkedIn, read a tech or business blog, or attend a conference for more than 30 seconds without encountering the generative AI hype? It’s been this way ever since last fall when OpenAI unleashed ChatGPT upon a (mostly) unsuspecting world.

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How to prepare your company for Artificial Intelligence - 3 step guide

Data Insight

In today's fast-paced business landscape, one thing is certain: Artificial Intelligence (AI) is no longer a futuristic concept, but a high-performance engine for achieving success.

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Legal Issues for Data Professionals

TDAN

The catapulting of data to become a new class of business assets and the rapid evolution of generative and non-generative AI requires the integration of data and law for success in today’s business environment.

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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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Structural Evolutions in Data

O'Reilly on Data

I am wired to constantly ask “what’s next?” Sometimes, the answer is: “more of the same.” That came to mind when a friend raised a point about emerging technology’s fractal nature. Across one story arc, they said, we often see several structural evolutions —smaller-scale versions of that wider phenomenon. Cloud computing?

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How to Use Analytics in Web Development

TDAN

It may sound a little dramatic, but in today’s ever-evolving world, data is vital. Data can be huge in boosting your business revenue and exposure. Knowing your data means being able to offer continuous improvement and optimization, which in turn will allow you to deliver even better user experiences.

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The DX roadmap: David Rogers on driving digital transformation success

CIO Business Intelligence

Although enterprises acknowledge the importance of digital transformation in the current environment of flux, few succeed in their digital initiatives. A major reason so many digital transformation programs fail is that enterprises view them as technology problems rather than the organizational challenges they truly are. Columbia University professor David Rogers, author of Digital Transformation Playbook and The Digital Transformation Roadmap , published in September, says it doesn’t have to be

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Use of Big Data in Investing

TDAN

In a turn of events unanticipated by most analysts, young people — Gen Zers and Millennials, in particular — are outpacing older generations in 401(k) contributions. Furthermore, young people are investing earlier than ever, with 31% of Millennials having started investing before turning 21.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.