Mon.Jun 12, 2023

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The Dangers of AI Chatbots – And How to Counter Them

Unite.AI

Once thought of as just automated talking programs, AI chatbots can now learn and hold conversations that are almost indistinguishable from humans. However, the dangers of AI chatbots are just as varied. These can range from people misusing them to actual cybersecurity risks. As humans increasingly rely on AI technology, knowing the potential repercussions of using these programs are essential.

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Scan & Check Out These Cool AI-Generated QR Codes

Analytics Vidhya

In the realm of artificial intelligence (AI) art, we have witnessed mind-boggling advancements, ranging from eerily realistic deepfake videos to awe-inspiring album covers. However, amidst these extraordinary innovations, one recent development is turning heads and capturing imaginations: AI-generated QR codes. Despite their seemingly mundane purpose, these QR codes have evolved into mesmerizing works of art […] The post Scan & Check Out These Cool AI-Generated QR Codes appeared first

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Is there a “right” cloud strategy for banking?

IBM Journey to AI blog

As public cloud technology and hybrid multicloud architectures are being adopted in financial institutions at an increasing rate, we’re observing that their counterparts in the public sector— central banks—are a long way behind, due at least in part to a profoundly risk-averse approach. While central banks have a very different mission from commercial banks, what they do have in common is the need to modernize their IT operations to support digital transformation, contain costs

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Cyber Security vs. Data Science: Which is a Better Career Option?

Analytics Vidhya

Cybersecurity and data science have emerged as powerhouses in today’s quickly changing digital landscape, bringing exciting career prospects and the ability to have a substantial effect. Professionals with expertise in these fields are in high demand as businesses need help to preserve their sensitive data and capitalize on big data’s promise.

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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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IBM Tech Now: June 12, 2023

IBM Journey to AI blog

​Welcome IBM Tech Now, our video web series featuring the latest and greatest news and announcements in the world of technology. Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published. IBM Tech Now: Episode 78 On this episode, we’re covering the following topics: The 2023 X-Force Definitive Guide to Ransomware IBM Consulting’s Center of Excellence for Generative AI Stay plugged in You can check out the IBM Blog Announcemen

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Using the metadata service to identify disks in your VSI with IBM Cloud VPC

IBM Journey to AI blog

A common use case in the cloud is attaching/removing volumes dynamically. Identifying the attached disk device in the operating system of the VSI is not always obvious. In IBM Cloud Virtual Server for VPC , the disk that is attached to the VSI is identified by the volume attachment identifier. Every volume has a UUID, but the attachment between the volume and the VSI also has a UUID.

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Google Secure AI Framework: Safeguarding the Future of Artificial Intelligence

Analytics Vidhya

Google, a pioneer in technological innovation, has introduced the Secure AI Framework (SAIF) to address the critical need for security standards in the realm of artificial intelligence. With AI’s vast potential, especially generative AI, it is imperative to establish industry-wide guidelines for responsibly building & deploying AI systems.

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5G network rollout using DevOps: Myth or reality?

IBM Journey to AI blog

The deployment of Telecommunication Network Functions had always been a largely manual process until the advent of 5 th Generation Technology ( 5G ). 5G requires that network functions be moved from a monolithic architecture toward modularized and containerized patterns. This opened up the possibility of introducing Dev Ops-based deployment principles (which are well-established and adopted in the IT world) to the network domain.

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Tech Mahindra CEO Accepts Sam Altman’s AI Challenge

Analytics Vidhya

In a recent turn of events, OpenAI CEO Sam Altman stirred up a discussion about India’s potential to develop an AI tool similar to ChatGPT. While Altman expressed doubts about Indian companies competing with OpenAI in training foundation models, Tech Mahindra CEO CP Gurnani promptly accepted the challenge. This clash of perspectives has ignited excitement […] The post Tech Mahindra CEO Accepts Sam Altman’s AI Challenge appeared first on Analytics Vidhya.

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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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How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Journey to AI blog

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent.

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The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. In this article, we explore Tajinder’s inspiring success story.

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The AI feedback loop: Researchers warn of ‘model collapse’ as AI trains on AI-generated content

Flipboard

The age of generative AI is here: only six months after OpenAI‘s ChatGPT burst onto the scene, as many of half the employees of some leading global companies are already using this type of technology in their workflows, and many other companies are rushing to offer new products with generative AI …

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Mark Chaffey, Co-Founder & CEO of hackajob – Interview Series

Unite.AI

Mark Chaffey is the Co-Founder and CEO of hackajob , a tech careers marketplace that puts the power back in the hands of those working in tech. It works as a reverse marketplace, meaning developers can choose to accept or decline requests from employers and discover roles of interest that are tailored to them. Could you share the genesis story behind hackajob?

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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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Snorkel AI looks beyond data labeling for generative AI

Flipboard

Data labeling has long been a critical component of helping data scientists to prepare data for machine learning (ML) and artificial intelligence (AI). In the modern era of Generative AI, the role of data labeling is changing.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator? They trained it on 100x the amount of data.

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Meta open sources an AI-powered music generator

Flipboard

Not to be outdone by Google, Meta has released its own AI-powered music generator — and, unlike Google, open-sourced it. Called MusicGen, Meta’s music-generating tool, a demo of which can be found here, can turn a text description (e.g.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator? They trained it on 100x the amount of data.

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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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Oracle founder Larry Ellison confirms new gen AI service with Cohere during earnings call

Flipboard

Oracle Corp., the software giant known for its database technology, is joining the chorus of enterprise cloud vendors betting big on generative AI services.

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The Fingerprint of ChatGPT: DNA-GPT is a GPT-Generated Text Detection Method Using Divergent N-Gram Analysis

Marktechpost

ChatGPT has become an essential part of our daily lives at this point. Most of us use it daily to solve mundane tasks or get guidance on how to tackle complex problems, get recommendations about decisions, etc. More importantly, AI-assisted writing has become the norm for the majority, and we even started to see the effects already as companies started to replace their copywriters with ChatGPT.

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Why Elon Musk and Other Tech Experts Are Worried About Artificial Intelligence

Flipboard

In the emerging AI era, notable tech figures celebrate the technology's astounding capabilities while other companies fiercely compete in the AI market. Yet, as businesses struggle to adapt, many tech experts voice concerns about AI's potential pitfalls.

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Meet PANOGEN: A Generation Method that can Potentially Create an Infinite Number of Diverse Panoramic Environments Conditioned on Text

Marktechpost

Whenever someone talks about artificial intelligence, the first thing that comes to mind is a robot, an android, or a humanoid that can do things humans do with the same effect, if not better. We have all seen such specific miniature robots deployed in various fields, for example, in airports guiding people to certain outlets, in armed forces to navigate and deal with difficult situations, and even as trackers.

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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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What happens if AI grows smarter than humans? The answer worries scientists.

Flipboard

Some AI experts have begun to confront the 'Singularity.' What they see scares them. In 1993, computer scientist and sci-fi author Vernor Vinge predicted that within three decades, we would have the technology to create a form of intelligence that surpasses our own.

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MIT Engineers Are Working on a Megawatt Electric Motor That Could Change Aviation

Extreme Tech

Electrifying air travel is a key way to reduce global greenhouse gas emissions—but engineers will have to overcome a number of technical and regulatory hurdles before that can happen.

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I stumbled into a really powerful use for the ChatGPT iPhone app: super fast, super accurate voice-to-text transcription

Flipboard

A couple weeks ago, OpenAI finally came out with a native iOS app for ChatGPT. One cool feature of the app is you can just speak to ChatGPT to create a prompt instead of using your thumbs to write text. After I did that a few times, I noticed something that wasn't obvious at first.

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Alibaba Group and Ant Group Researchers Introduce VideoComposer: An AI Model That Enables To Combine Multiple Modalities Like Text, Sketch, Style, And Even Motion To Drive Video Generation

Marktechpost

Current visual generative models, particularly diffusion-based models, have made tremendous leaps in automating content generation. Thanks to computation, data scalability, and architectural design advancements, designers can generate realistic visuals or videos using a textual prompt as input. To achieve unparalleled fidelity and diversity, these methods often train a robust diffusion model conditioned by text on massive video-text and image-text datasets.

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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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How to MLOps like a Boss: A Guide to Machine Learning without Tears

Flipboard

If you have ever emailed a.pickle file to engineers for deployment, this is for YOU!

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Monitoring Machine Learning Models in Production

Heartbeat

Source: Author Introduction Machine learning model monitoring tracks the performance and behavior of a machine learning model over time. It involves collecting and analyzing data on various aspects of the model’s performance, including its accuracy, precision, recall, and F1 score, as well as its bias , fairness , and stability. The primary goal of model monitoring is to ensure that the model remains effective and reliable in making predictions or decisions, even as the data or environment in wh

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10 Ways Crypto and AI Can Make Each Other Better (or Maybe Worse)

Flipboard

The hype around artificial intelligence is drawing away capital and talent from Web3. But AI and and crypto are overlapping technologies, with potential for each to influence the other, says Jeff Wilser.