#Ai-driven

[aibyrdidini]

AI  EXPRESS - ETHICAL CONSIDERATIONS IN AI.

Rubem Didini Filho

The increasing integration of AI technologies into various aspects of society raises crucial ethical considerations that require careful attention. The sources, along with our previous discussions, highlight the importance of addressing these concerns to ensure AI's responsible and beneficial development and deployment. One major ethical concern is algorithmic bias, where AI systems can inadvertently inherit and perpetuate biases present in the training data. This can result in unfair or discriminatory outcomes, especially in sensitive areas like hiring, loan applications, or criminal justice. For example, a facial recognition system trained primarily on images of a particular demographic group may be less accurate at recognizing individuals from other groups, leading to biased outcomes.

Data privacy and security are also paramount ethical considerations. As AI systems often rely on massive datasets, including personal information, protecting this data from misuse is essential. Ethical data handling practices include obtaining informed consent for data collection, anonymizing data when possible, and implementing robust security measures to prevent unauthorized access or breaches. The sources emphasize the need to balance the benefits of AI with the potential risks to individual privacy.

The sources, particularly our conversation about transparency, also emphasize the importance of transparency and explainability in AI systems. Complex AI models, especially deep learning algorithms, can operate as "black boxes," making it difficult to understand how they reach their decisions. This lack of transparency raises concerns about accountability and potential biases. Ethical AI development emphasizes creating explainable AI (XAI), where the reasoning behind AI's decisions can be understood and audited. This transparency fosters trust and allows for the identification and mitigation of potential biases or errors.

Ethical Considerations in AI: The sources emphasize the importance of ethics in AI. As AI systems become more sophisticated and integrated into various aspects of our lives, it is crucial to ensure they are developed and used responsibly and ethically. Several key ethical considerations arise from the sources:

Algorithmic Bias: AI algorithms can inherit and perpetuate biases present in the training data. This can lead to discriminatory outcomes, especially in sensitive areas like hiring, loan applications, or criminal justice. For example, if a facial recognition system is trained primarily on images of light-skinned individuals, it may be less accurate at recognizing people with darker skin tones, potentially leading to unfair or biased outcomes.

Data Privacy and Security: AI systems often rely on vast amounts of data, including personal information. Ensuring the privacy and security of this data is paramount. Ethical considerations include obtaining informed consent for data collection, anonymizing data when possible, and implementing robust security measures to prevent unauthorized access or misuse.

Transparency and Explainability: The decision-making processes of complex AI systems, particularly deep learning models, can be opaque and difficult to understand. This lack of transparency raises concerns about accountability. Ethical AI development emphasizes creating explainable AI (XAI), where the reasoning behind an AI's decision can be understood and audited, fostering trust and allowing for the identification and mitigation of potential biases.

Job Displacement and Economic Impact: The increasing automation capabilities of AI raise concerns about job displacement across various sectors. As AI systems become capable of performing tasks previously done by humans, ethical considerations involve addressing potential job losses, providing retraining opportunities, and ensuring a fair transition for workers affected by automation.

Responsibility and Accountability: Determining responsibility when an AI system makes an error or causes harm is a complex ethical issue. Establishing clear lines of accountability for AI developers, deployers, and users is essential. Ethical frameworks must address questions of liability and potential legal repercussions in cases where AI systems cause unintended consequences.

The sources highlight the need for ongoing dialogue and the development of ethical guidelines and regulations to address these concerns. As AI continues to evolve, ethical considerations must be at the forefront to ensure that these technologies are used for the benefit of humanity, promoting fairness, justice, and well-being.

The increasing integration of AI technologies into various aspects of society raises crucial ethical considerations that require careful attention.  The sources, along with our previous discussions, highlight the importance of addressing these concerns to ensure AI's responsible and beneficial development and deployment. One major ethical concern is algorithmic bias, where AI systems can inadvertently inherit and perpetuate biases present in the training data. This can result in unfair or discriminatory outcomes, especially in sensitive areas like hiring, loan applications, or criminal justice. For example, a facial recognition system trained primarily on images of a particular demographic group may be less accurate at recognizing individuals from other groups, leading to biased outcomes. 

Data privacy and security are also paramount ethical considerations. As AI systems often rely on massive datasets, including personal information, protecting this data from misuse is essential. Ethical data handling practices include obtaining informed consent for data collection, anonymizing data when possible, and implementing robust security measures to prevent unauthorized access or breaches.  The sources emphasize the need to balance the benefits of AI with the potential risks to individual privacy.

The sources, particularly our conversation about transparency, also emphasize the importance of transparency and explainability in AI systems. Complex AI models, especially deep learning algorithms, can operate as "black boxes," making it difficult to understand how they reach their decisions. This lack of transparency raises concerns about accountability and potential biases. Ethical AI development emphasizes creating explainable AI (XAI), where the reasoning behind AI's decisions can be understood and audited.  This transparency fosters trust and allows for the identification and mitigation of potential biases or errors.

Ethical Considerations in AI: The sources emphasize the importance of ethics in AI. As AI systems become more sophisticated and integrated into various aspects of our lives, it is crucial to ensure they are developed and used responsibly and ethically. Several key ethical considerations arise from the sources:

Algorithmic Bias: AI algorithms can inherit and perpetuate biases present in the training data. This can lead to discriminatory outcomes, especially in sensitive areas like hiring, loan applications, or criminal justice. For example, if a facial recognition system is trained primarily on images of light-skinned individuals, it may be less accurate at recognizing people with darker skin tones, potentially leading to unfair or biased outcomes.

Data Privacy and Security: AI systems often rely on vast amounts of data, including personal information. Ensuring the privacy and security of this data is paramount. Ethical considerations include obtaining informed consent for data collection, anonymizing data when possible, and implementing robust security measures to prevent unauthorized access or misuse.

 Transparency and Explainability: The decision-making processes of complex AI systems, particularly deep learning models, can be opaque and difficult to understand. This lack of transparency raises concerns about accountability. Ethical AI development emphasizes creating explainable AI (XAI), where the reasoning behind an AI's decision can be understood and audited, fostering trust and allowing for the identification and mitigation of potential biases.

 Job Displacement and Economic Impact: The increasing automation capabilities of AI raise concerns about job displacement across various sectors. As AI systems become capable of performing tasks previously done by humans, ethical considerations involve addressing potential job losses, providing retraining opportunities, and ensuring a fair transition for workers affected by automation.

 Responsibility and Accountability: Determining responsibility when an AI system makes an error or causes harm is a complex ethical issue. Establishing clear lines of accountability for AI developers, deployers, and users is essential. Ethical frameworks must address questions of liability and potential legal repercussions in cases where AI systems cause unintended consequences.

The sources highlight the need for ongoing dialogue and the development of ethical guidelines and regulations to address these concerns. As AI continues to evolve, ethical considerations must be at the forefront to ensure that these technologies are used for the benefit of humanity, promoting fairness, justice, and well-being.

[ladyhusle]

Cut Through the Noise: Embrace Authentic Marketing to Build Lasting Connections

Discover the secrets to authentic marketing with Chelsey's latest post: Cut Through the Noise! Dive into the power of authenticity, transparency, and real connections to build lasting relationships in the digital age. 🌟 #MarketingTips #DigitalMarketing

Chelsey’s blog post emphasizes returning to marketing basics—authenticity, transparency, and genuine connections—to cut through digital overload. Using examples like Patagonia and TOMS Shoes, she illustrates how these principles build trust and loyalty, creating lasting impacts in the digital age. BY Chelsey’s Curations July 28,…

[sonicbulletinhub]

Viewer Empowerment: Enhancing Media Literacy in the Age of AI-Driven Influence Operations

In today's rapidly evolving digital landscape, the intersection of artificial intelligence and information dissemination has given rise to a new breed of challenges. One such concern is the emergence of AI-driven influence operations spreading pro-China propaganda across popular platforms like YouTube.

Background of AI-driven Influence Operations

To understand this phenomenon, let's delve into the background of AI's role in shaping narratives. Over the years, artificial intelligence has played an increasingly pivotal role in molding public opinion. From shaping political discourse to influencing consumer behavior, AI has become a powerful tool in the arsenal of those seeking to sway public perceptions.

For more info visit: Sonicbulletinhub

[imgvai145]

AI-Driven Business Growth

An abstract digital art representation of business growth driven by Artificial Intelligence. The image features a neural network with glowing nodes and lines, overlaying a clean, upward-trending business graph or chart. The background is a deep blue and purple gradient, with bright technological accents in white, gold, or cyan. The overall style is professional and futuristic, suitable for a LinkedIn post header or visual.

[imgvai202]

AI-Driven Musical Nightmare

Ultra-realistic 8K surrealist digital painting in the style of Salvador Dalí: a lone composer sits rigidly at a sleek black desk in a dimly lit studio, eyes wide with wonder and dread. His laptop’s screen glows like a warped portal marked “SunoYeah,” from which dozens of elongated, clawed hands—flesh melting into pixel—reach out and wrap around his shoulders, dragging him halfway into the flickering display. Musical notes, rendered as molten brass and shimmering glass shards, pour from the monitor like toxic smoke, spiraling upward and coalescing into fractal patterns. His skull cracks open in the center, a riot of neon-colored chords and algorithmic spirals bursting outward, neurons depicted as twisting wires and floating sheet­music fragments. The desk legs stretch and slither like serpents, puddles of ink and binary code pooling beneath. In the background, a barren desert landscape with drooping digital clocks and disembodied headphones draped over gnarled tree limbs evokes an apocalyptic creativity. Hyper-detailed textures on skin, metal, and melting electronics; dramatic chiaroscuro highlights; dreamlike distortions; uncanny atmosphere—an unsettling vision of man consumed by AI-driven composition.

[imgvai82]

AI-Driven Business Growth

An abstract digital art representation of business growth driven by Artificial Intelligence. The image features a neural network with glowing nodes and lines, overlaying a clean, upward-trending business graph or chart. The background is a deep blue and purple gradient, with bright technological accents in white, gold, or cyan. The overall style is professional and futuristic, suitable for a LinkedIn post header or visual.

[imgvai138]

AI-Driven Musical Nightmare

Ultra-realistic 8K surrealist digital painting in the style of Salvador Dalí: a lone composer sits rigidly at a sleek black desk in a dimly lit studio, eyes wide with wonder and dread. His laptop’s screen glows like a warped portal marked “SunoYeah,” from which dozens of elongated, clawed hands—flesh melting into pixel—reach out and wrap around his shoulders, dragging him halfway into the flickering display. Musical notes, rendered as molten brass and shimmering glass shards, pour from the monitor like toxic smoke, spiraling upward and coalescing into fractal patterns. His skull cracks open in the center, a riot of neon-colored chords and algorithmic spirals bursting outward, neurons depicted as twisting wires and floating sheet­music fragments. The desk legs stretch and slither like serpents, puddles of ink and binary code pooling beneath. In the background, a barren desert landscape with drooping digital clocks and disembodied headphones draped over gnarled tree limbs evokes an apocalyptic creativity. Hyper-detailed textures on skin, metal, and melting electronics; dramatic chiaroscuro highlights; dreamlike distortions; uncanny atmosphere—an unsettling vision of man consumed by AI-driven composition.

[imgvai111]

AI-Driven Musical Nightmare

Ultra-realistic 8K surrealist digital painting in the style of Salvador Dalí: a lone composer sits rigidly at a sleek black desk in a dimly lit studio, eyes wide with wonder and dread. His laptop’s screen glows like a warped portal marked “SunoYeah,” from which dozens of elongated, clawed hands—flesh melting into pixel—reach out and wrap around his shoulders, dragging him halfway into the flickering display. Musical notes, rendered as molten brass and shimmering glass shards, pour from the monitor like toxic smoke, spiraling upward and coalescing into fractal patterns. His skull cracks open in the center, a riot of neon-colored chords and algorithmic spirals bursting outward, neurons depicted as twisting wires and floating sheet­music fragments. The desk legs stretch and slither like serpents, puddles of ink and binary code pooling beneath. In the background, a barren desert landscape with drooping digital clocks and disembodied headphones draped over gnarled tree limbs evokes an apocalyptic creativity. Hyper-detailed textures on skin, metal, and melting electronics; dramatic chiaroscuro highlights; dreamlike distortions; uncanny atmosphere—an unsettling vision of man consumed by AI-driven composition.

[streffie4]

Facial Recognition for Smart Stress Assessment

Streffie uses facial recognition stress assessment to detect emotional changes and help users manage stress effectively with real-time AI insights.

[tommahape]

In today’s fast-paced digital landscape, customer service is no longer just about resolving queries — it's about delivering real-time, meaningful conversations across every channel. To meet this demand, forward-thinking organizations are turning to AI-driven communication platforms. Among the most advanced solutions in the market is ThinkOwl’s Conversational AI, a feature-rich tool designed to supercharge customer engagement with intelligence, automation, and human-like empathy.

[govindhtech]

What is Martech Solutions And Generative AI In Marketing

What are Martech solutions?

Martech is software that helps marketers achieve their aims. Technology helps it plan, implement, and evaluate marketing strategies. Basically, it simplifies marketing. We'll discuss martech stacks, or marketing technology. Marketing is optimised using these tools in omnichannel, multi-touchpoint situations.

Marketing is about the code that brings huge ideas to life, not simply the concepts. In the age of personalised advertising and customer experiences, developers are crucial to turning ideas into scalable, measurable solutions. Google has introduced several open-source MarTech solutions powered by generative AI to bridge engineering and marketing. Google campaigns and others can use these solutions.

Developers can easily convert video, produce and manage pictures in massive quantities, and write high-quality advertising text with these three cutting-edge technologies.

ViGenAiR

Gen AI can improve video ads for a wider audience

Video advertising on YouTube and social media are a great method to reach customers and create awareness. However, producing versions for diverse audiences and platforms is costly and time-consuming.

ViGenAiR automatically shortens long-form video ads using multimodal generative AI models on Google Cloud and gathers demographic data. Choose from Al's suggested variants or manually modify video, photo, and text elements for Demand Gen and YouTube video campaigns.

ViGenAiR offers:

Variety: Include Demand Gen text and images with more vertical and square videos.

Customisation: Target certain audiences with customised movies and stories.

Quality: Make videos that follow YouTube's ABCDs (Attention, Branding, Connection, Direction) and automatically align for square and vertical displays.

Efficiency: Quickly create new versions and reduce video production costs.

Gen AI video editing for advertising by ViGenAiR

ViGenAiR uses Gemini on Vertex AI to understand a video's storyline before separating it into audio and video. ViGenAiR integrates semantically and contextually connected video segments from spoken dialogue, visual shots, on-screen text, and background music, so it won't cut the video mid-scene or speech. These coherent A/V segments underpin user-driven recombination and gen AI.

Adios

Manage and personalise advertising with AI

Marketers must choose the right graphics for each ad group, even though maintaining hundreds or millions of photographs might slow them down.

Gemini's open-source Adios makes it easy for marketers to upload and manage image assets for thousands of ad groups. No pic? No problem. Adios uses Google Cloud's Vertex AI platform's Imagen model to produce customised, high-quality pictures for each ad group, boosting your campaign's presentation and efficacy.

Adios helps marketing departments:

Generate at scale: Use almost any gen AI API to generate millions of ad group-specific pictures with little coding.

Upload and manage photo assets in Google Ads, regardless of Adios creation.

Examine the created photos: Check the produced photos by hand before publishing to verify quality.

Try A/B tests: Test new and old image assets with Google Ads.

AI-driven content production goodbye

Adios's latest version lets you rapidly change GCP region, AI models, and other parameters without changing the code. In recent updates, gen API interactions are more stable and dependable, and failing queries are automatically retried. The Google Ads API uses version 17, and Gemini 1.5 Flash generates text-to-image prompts.

Copycat

Write brand-appropriate Google Search ads

SEO helps customers find your brand when they search for a product or service. Writing search advertising takes time, and current methods often produce generic material that lacks a business's tone and style.

Copycat analyses your greatest ads and brand standards using Gemini models in Python. The computer writes great, consistent ads with fresh keywords after learning your voice and writing style. Copycat may produce or edit responsive text and search advertising.

Save time and money by writing good ad text quickly for several campaigns.

Ads should be high-quality and reflect your brand's style.

Scalability: Use Google Ads to expand your audience without compromising brand quality.

How Copycat uses AI in commercial copywriting

Train copycats with high-quality Google ads. To ensure diversity and reduce repetition, it condenses the training advertisements into a smaller collection of “exemplar ads” using Affinity Propagation. Gemini creates a style guide from sample ads, which you may customise. Copycat prompts Gemini to write the new ad copy using your keywords, directions, and style guide. If your ads include headlines or descriptions, Copycat can fill in the blanks.

[aibyrdidini]

AI PROMPTS FOR BEGINNERS

Tired of feeling lost in this increasingly AI-filled world? It seems like every day there's new news about AI, promising to change everything around us, right? And you are you ready for this change?

Don't worry! With the eBook "Prompts for Beginners," you can enter the world of AI in a simple, fun way, without needing to be a programming expert! Imagine being able to create your own AI projects, and generate amazing responses for anything in your life, from difficult math problems to emotional song lyrics!

Just like fire, the wheel, and electricity changed history, AI is transforming our present and shaping the future. And you are you going to be left out of this? Learning to use prompts is the key to opening up a world of possibilities with AI.

Don't wait! With this easy-to-follow guide, you won't just learn the basic concepts of AI, but you'll also be able to work with others who are interested, share your creations, and get important feedback. Take advantage of this opportunity to improve your career and open paths to a promising future, with the many possibilities that AI offers. The future is coming! Get your copy of "Prompts for Beginners" and start your journey towards success in the AI era!

AI PROMPTS FOR BEGINNERS

A - Attention

Tired of feeling lost in this increasingly AI-filled world? It seems like every day there's new news about AI, promising to change everything around us, right? Are you ready for this change?

I - Interest

Don't worry! With the eBook "Prompts for Beginners," you can enter the world of AI in a simple, fun way, without needing to be a programming expert! Imagine being able to create your own AI projects, generate amazing responses for anything in your life, from difficult math problems to emotional song lyrics!

D - Desire

Just like fire, the wheel, and electricity changed history, AI is transforming our present and shaping the future. And you, are you going to be left out of this? Learning to use prompts is the key to opening up a world of possibilities with AI.

A - Action

Don't wait! With this easy-to-follow guide, you won't just learn the basic concepts of AI, but you'll also be able to work with others who are interested, share your creations, and get important feedback. Take advantage of this opportunity to improve your career and open paths to a promising future, with the many possibilities that AI offers. The future is coming! Get your copy of "Prompts for Beginners" and start your journey towards success in the AI era!

Don't waste any more time!

Detalhes do produto

ASIN: B0DK8213XH

Número de páginas: 103 páginas. https://www.amazon.com.br/AI-PROMPTS-BEGINNERS-Entering-Programming-ebook/dp/B0DK8213XH/ref=mp_s_a_1_3?crid=UYI4FZOX4S2Z&dib=eyJ2IjoiMSJ9.dRjcH1MUAwimVCX7oqoOSd4eXMQxG7QLd-1DUE6AUI4MuSjWWWdhV1211mtNG4NcxUxVysgoouxA1sABKUcUOMuouMh06GRbg3QXqf1vcE4qs5wPz7UffHOYdHxlF_k_2UhDaj_zvq4FifMvxL1i-QrjZQ_LTNvdjMfGtguWbi4.H3FpWEBP3JjVCphGzt2jJRsssUqct9wTs668IBCw0CY&dib_tag=se&keywords=rubem+didini+filho&qid=1729354843&sprefix=rubem+didini+filho%2Caps%2C233&sr=8-3

[edgythoughts]

What If We Could Harness Energy from Black Holes 2025

What If We Could Harness Energy from Black Holes 2025

Black holes are among the most mysterious and powerful phenomena in the universe. These cosmic giants contain immense gravitational force, capable of warping space-time, swallowing light, and distorting matter itself. But what if, instead of fearing them or merely studying them from afar, we learned how to use them? What if we could harness energy from black holes in 2025? This idea is not purely science fiction. Some of the most brilliant minds in astrophysics, such as Stephen Hawking and Roger Penrose, have proposed theoretical methods through which black holes could be tapped as cosmic power plants. In this exploration, we’ll examine the science, the methods, and the implications of extracting energy from black holes. Understanding Black Hole Basics Before diving into how to harvest their energy, it's important to understand what black holes really are. A black hole is a region in space where gravity is so intense that nothing—not even light—can escape its pull. They form when massive stars collapse under their own gravity at the end of their life cycles. Black holes are defined by a boundary known as the event horizon. Anything that crosses this boundary is lost to the black hole. However, the space just outside the event horizon, called the ergosphere in rotating black holes, holds the key to extracting energy. Methods of Energy Extraction In theory, black holes contain unimaginable energy. Let’s look at the most discussed techniques for harnessing that energy. 1. The Penrose Process In 1969, physicist Roger Penrose proposed that energy could be extracted from a rotating (Kerr) black hole. He suggested that if a particle entered the ergosphere and split into two, one part could fall into the black hole while the other escaped with more energy than the original. This energy gain could, theoretically, be captured. This method relies on the rotational energy of the black hole. In practical terms, it would be like siphoning off spin and converting it into usable energy. Pros: - The process doesn’t require entering the event horizon. - It uses the natural spin of the black hole. Challenges: - Requires extremely precise particle control. - Technology to manage such a process doesn't exist—yet. 2. Hawking Radiation In 1974, Stephen Hawking introduced the idea that black holes aren’t completely black. Due to quantum effects near the event horizon, black holes can emit tiny amounts of thermal radiation, now called Hawking radiation. Over time, this causes the black hole to evaporate. In theory, if we could capture Hawking radiation, we could extract energy. But this process is slow and extremely weak for stellar-sized black holes. However, for micro black holes (if we could create or find them), the radiation would be much stronger. Pros: - Taps into fundamental physics. - Potentially self-sustaining. Challenges: - Hawking radiation has not yet been directly observed. - Harnessing this radiation would require technology far beyond current capabilities. 3. Accretion Disk Energy Black holes often attract nearby gas, dust, and even stars. As this matter spirals toward the event horizon, it forms an accretion disk—an extremely hot, spinning ring of matter. The gravitational and frictional forces in this disk heat it to millions of degrees, emitting X-rays and gamma rays. In fact, accretion disks can be even more efficient than nuclear fusion in terms of energy output. If we could build a mega-structure (like a Dyson Sphere) around the black hole, we could collect this radiation and convert it into usable power. Pros: - We already observe this energy in quasars and active galactic nuclei. - It is extremely powerful and continuous. Challenges: - Building a structure around a black hole seems impossible with current technology. - Controlling and storing that energy safely would be a major hurdle.

How Much Energy Are We Talking About? The energy output of a black hole could potentially dwarf anything humans have ever harnessed. For example, accretion disks in quasars emit more energy than entire galaxies. To give a basic idea: - A black hole with a mass similar to our sun could yield 1.8 × 10^47 joules if fully converted through the Penrose process. - For comparison, all the energy consumed by humanity in one year is about 6 × 10^20 joules. This means a single black hole could power human civilization for billions of years. Technological Challenges in 2025 As of 2025, we are nowhere near building machines that can orbit, interact with, or survive near a black hole. The biggest technological hurdles include: - Materials that can withstand extreme gravity and radiation - Propulsion systems to reach and stabilize near black holes - Energy transmission systems to send power back to Earth - Control systems to manage such unpredictable environments However, with advances in quantum computing, AI-driven space exploration, and high-energy physics experiments at facilities like CERN, theoretical progress is accelerating. Scientists are increasingly confident that some of these ideas could move from theory to reality in the coming centuries. Ethical and Existential Implications Harnessing black hole energy would change everything—not just for energy needs, but for our place in the universe. Pros: - Solves Earth’s energy crisis forever - Enables deep space colonization - Advances science at an unprecedented pace Cons: - Possible dangers in destabilizing black holes - Unintended consequences of quantum experiments - Ethical concerns about creating or manipulating black holes Some theorists even suggest that civilizations that reach this level of technology might leave observable traces in the universe. In fact, one area of SETI research is to look for Dyson spheres or energy signatures around black holes as evidence of alien supercivilizations. Could It Ever Be Reality? Realistically, harnessing black hole energy is beyond 2025's engineering limits. But it's not pure fantasy. Many technological revolutions—like space travel, nuclear power, and quantum mechanics—were once considered impossible. In the next few decades, if mini black holes are ever created in labs or detected naturally, they might become our first experimental stepping stones. For now, black holes remain enigmatic giants. But one day, they may become our greatest energy source. —

External Resource

Learn more from the Wikipedia page on Black Hole Thermodynamics: https://en.wikipedia.org/wiki/Black_hole_thermodynamics —

Explore More from Our Blogs

- Want to know what it would be like to live inside a black hole? https://edgythoughts.com/what-if-we-could-live-inside-a-black-hole-2025 - Ever wondered how quantum computing could change everything? https://edgythoughts.com/how-will-quantum-computing-change-everyday-life Let your imagination fly—because the future of energy might lie in the darkest corners of the cosmos. Read the full article

[smmconsultant]

A must read article to learn how to become data-driven integrators and innovators for blending data, automation, and human creativity to succeed in an AI-dominated marketing world.