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.

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AccelData Acquires Bewgle: A Major Move in AI Data Pipeline Visibility

Unite.AI

In a significant move that aims to provide businesses with improved visibility into AI data pipelines, AccelData has announced its acquisition of Bewgle. This merger represents a strategic consolidation in the AI space, bringing together AccelData's prowess in data observability with Bewgle's expertise in feedback analytics. Bridging the Gap: Enhanced Data Observability Data has often been compared to the new oil, but just like crude oil, it needs refining before it's ready for consumption.

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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.

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

IBM Journey to AI blog

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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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?

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What is Production System in AI? Examples, Working and More

Analytics Vidhya

AI Production Systems are the backbone of decision-making. These systems automate complex tasks through production rules, efficiently processing data and generating insights. They facilitate knowledge-intensive processes comprising a global database, production rules, and a control system. Their key features include simplicity, modularity, adaptability, and modifiability.

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Observing Camunda environments with IBM Instana Business Monitoring

IBM Journey to AI blog

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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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

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CMA sets out principles for responsible AI development 

AI News

The Competition and Markets Authority (CMA) has set out its principles to ensure the responsible development and use of foundation models (FMs). FMs are versatile AI systems with the potential to revolutionise various sectors, from information access to healthcare. The CMA’s report , published today, outlines a set of guiding principles aimed at safeguarding consumer protection and fostering healthy competition within this burgeoning industry.

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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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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.

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

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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The Physical Process That Powers a New Type of Generative AI

Flipboard

Some modern image generators rely on the principles of diffusion to create images. Alternatives based on the process behind the distribution of charged particles may yield even better results.

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How Convergence of IoT Transforming the Capabilities of Smart Connected Devices

Aiiot Talk

Convergence occurs when technologies combine to make products more capable and powerful. The Internet of Things (IoT) is one area where this progress is most evident. As people merge the IoT with other technologies, smart devices become more versatile and in demand across industries. Here are some of the outcomes. More Convenience The IoT convergence has made many of today’s connected devices much more user-friendly — even for people who don’t consider themselves tech-savvy.

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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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Google’s Bard can now read emails as company tries to show it’s useful

Flipboard

Google is integrating its Bard artificial intelligence chatbot with some of its other products, including Gmail, YouTube and Google Docs, as the tech giant tries to keep up with fierce competition and get more people to use its AI tools.

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How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances

AWS Machine Learning Blog

This post is written in collaboration with Dima Zadorozhny and Fuad Babaev from VirtuSwap. VirtuSwap is a startup company developing innovative technology for decentralized exchange of assets on blockchains. VirtuSwap’s technology provides more efficient trading for assets that don’t have a direct pair between them. The absence of a direct pair leads to costly indirect trading, meaning that two or more trades are required to complete a desired swap, leading to double or triple trading costs.

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Pryon raises $100M to index and analyze enterprise data

Flipboard

Pryon, a startup developing an AI-powered platform to look for insights in — and surface answers from — enterprise knowledge bases, today announced that it raised $100 million in a funding round led by Thomas Tull’s U.S. Innovative Technology Fund.

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Harvard Study Finds Staggering Productivity Gains From AI at Work

Marketing AI Institute

Is AI really that big a deal for the future of work? A new Harvard Business School paper from nine authors, including AI expert Ethan Mollick, answers with a resounding YES.

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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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After relaunching as a studio for creators, LimeWire acquires BlueWillow, a Midjourney competitor

Flipboard

In the Wild West of generative AI, a new, unlikely cowboy is riding into town. LimeWire — once infamous for music piracy and incurring the wrath of the music industry before shutting down — last year pivoted under new owners into the world of content creation.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning Blog

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate, collect, and use this data to gain insights into financial operations, make better decisions, and improve performance. However, there are challenges associated with multi-modal data due to the complexity and lack of standardization in financial systems and data formats and quality, as well as the fragmented and unstru

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Google’s Bard chatbot can now tap into your Google apps, double check answers and more

Flipboard

Google today is releasing a more capable version of Bard, its generative AI chatbot and ChatGPT rival, which now lets you double-check its answers, collaborate with others, and, notably, integrate with Google’s own apps and services, including Gmail, Docs, Drive, Maps, YouTube, and Google Flights …

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Intel Announces Sierra Forest Xeon CPU With 288 Cores

Extreme Tech

The multi-core behemoth uses two chiplets, doubling the previously revealed core capacity for this 2024 CPU.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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How Will the Tech Titans Behind ChatGPT, Bard, and LLaMA Make Money?

Flipboard

It seems like anything is possible with generative AI right now. But how will companies profit from those big ideas? Andy Wu breaks down the potentially painful tradeoffs that tech firms might face as artificial intelligence enters its next phase.

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What it’s Like to be a Prompt Engineer

ODSC - Open Data Science

Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. Although most people are familiar with ChatGPT, LLMs are quickly scaling into multiple industries and are being trained to be domain-specific so that they may become effective tools those their human users. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be.

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The risks of low-code and no-code development in cloud architecture

Flipboard

Low-code and no-code development platforms have gained significant traction recently, and more so with the rise of artificial intelligence in 2023.

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The Best SSD and Hard Drive Deals for September 2023

Extreme Tech

Keep all of your files safe and sound with these massive storage solutions at doorbuster prices.

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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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This new forecasting model is better than machine learning, researchers say

Flipboard

Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting.

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[The Marketing AI Show Episode 64]: Top Professional Services Firms Go All-In on AI, New Study Shows AI’s Actual Impact on Our Work, and Major Predictions on Where AI Is Going Next

Marketing AI Institute

Live from Los Angeles! As Mike records this podcast episode from Anaheim, CA prepping for the California Association of Realtors annual REimagine event, and Paul Roetzer is coming off the heels of a whirlwind trip to Munich for an event he keynoted, they sit down for a quick 56 minutes to regroup on the latest in artificial intelligence, business, and marketing.

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First-of-its-kind robot receptionist is like ChatGPT with a face

Flipboard

Engineers have combined the AI model powering ChatGPT with a humanoid bust to create a robot receptionist for the UK National Robotarium.

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