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 363
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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 358
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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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Signal-Based Selling: How to Leverage 4 Key Buying Signals

As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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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 353
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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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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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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 336
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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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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 334
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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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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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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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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.

Risk 114
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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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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Generative AI as a catalyst for change in the telecommunications industry

IBM Big Data Hub

Generative artificial intelligence (AI) burst into the mainstream in 2023, lighting a fire under businesses to integrate enterprise-grade versions into their processes. By 2024, 60% of C-suite executives are planning to pilot or operate generative AI in some way, indicating that generative AI’s public-facing platforms have awakened the world to its groundbreaking capabilities For Communications Service Providers (CSPs) and Network Equipment Providers (NEPs), in particular, generative AI ho

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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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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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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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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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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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Externalize Amazon MSK Connect configurations with Terraform

AWS Big Data

Managing configurations for Amazon MSK Connect , a feature of Amazon Managed Streaming for Apache Kafka (Amazon MSK), can become challenging, especially as the number of topics and configurations grows. In this post, we address this complexity by using Terraform to optimize the configuration of the Kafka topic to Amazon S3 Sink connector. By adopting this strategic approach, you can establish a robust and automated mechanism for handling MSK Connect configurations, eliminating the need for manua

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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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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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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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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 78
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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 79
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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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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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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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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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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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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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4 AI Hacks to Make Sales Teams More Efficient

Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.