#Business management with AI

[ananyamehtablog]

PG Diploma in AI and ML: Shaping Future Business Leaders

[frogfacey]

"this new generation is the dumbest and laziest ever because ai is ruining people's ability to learn!!! Why are you using ai to write emails and cover letters when you could instead LEARN this beautiful, important and valuable skill instead of growing lazy and getting ai slop to slop it for you?" oh my god. oooooh my god. oh my goooooood.

[cipheramnesia]

Pulling this because I don't want to get into arguing about AI with a stranger, but I do think it's very funny to see Tim Burton upset about having his style imitated. "It's nothing like when I, a human, have an entirely derivative and unoriginal style - first of all, no robot could ever reproduce my human racism" oh no Tim, the machines are racist too, don't worry.

[asthecrowrambles]

hi folks! this november i'm going to write 25,000 words or more for my original story ancilla's requiem (working title for superpowered ai universe) and i wanted to invite you all to join in if you like :}.

i'm tracking my progress through trackbear and here's the leaderboard you can join as well!

join code is 5c3bb482-321c-4e55-b4f5-56be41bbe079 if you're interested ^_^

[thewhizzyhead]

The floor is now open for suggestions for video games that are story driven or fun that Do Not Require Too Many Brain Cells or Do Not Take Too Much Fucking Time To Complete (I.e. baldur's gate 3)

editor's note: OKAY FINE I WANT GAMES LIKE HI FI RUSH THERE

[themanagementatheneum]

Blog No. 57 - Celebrating Republic Day: Lessons in Leadership and Governance from India’s Constitution

Welcome to The Management Atheneum, Blog No. 57!

Happy Republic Day 🇮🇳

Today, I reflect on the lessons in leadership and governance from India’s Constitution in my latest blog post, which takes a slightly different approach than my usual content.

I’d love to hear your thoughts as well, so please share your insights in the comments!

[techytoolzataclick]

Top Futuristic AI Based Applications by 2024

2024 with Artificial Intelligence (AI) is the backdrop of what seems to be another revolutionary iteration across industries. AI has matured over the past year to provide novel use cases and innovative solutions in several industries. This article explores most exciting AI applications that are driving the future.

1. Customized Chatbots

The next year, 2024 is seeing the upward trajectory of bespoke chatbots. Google, and OpenAI are creating accessible user-friendly platforms that enable people to build their own small-scale chatbots for particular use cases. These are the most advanced Chatbots available in the market — Capable of not just processing text but also Images and Videos, giving a plethora of interactive applications. For example, estate agents can now automatically create property descriptions by adding the text and images of listings thatsurgent.

2. AI in Healthcare

AI has found numerous applications in the healthcare industry, from diagnostics to personalized treatment plans. After all, AI-driven devices can analyze medical imaging material more accurately than humans and thus among other things help to detect diseases such as cancer at an early stage. They will also describe how AI algorithms are used to create tailored treatment strategies personalized for each patient's genetics and clinical past, which helps enable more precise treatments.

3. Edge AI

A major trend in 2024 is Edge AI It enables computer processing to be done at the edge of a network, rather than in large data centers. Because of its reduced latency and added data privacy, Edge AI can be used in applications like autonomous vehicles transportations, smart cities as well as industrial automation. Example, edge AI in autonomous vehicles is able to get and process real-time data, increasing security by allowing faster decision-making.

4. AI in Finance

Today, the financial sector is using AI to make better decisions and provide an even stronger customer experience. Fraud detection, risk assessment and customised financial advice have introduced insurance into the AI algorithm. AI-powered chatbots and virtual assistants are now common enough to be in use by 2024, greatly assisting customers stay on top of their financial well-being. Those tools will review your spending behavior, write feedback to you and even help with some investment advices.

5. AI in Education

AI is revolutionizing education with individualized learning. These AI-powered adaptive learning platforms use data analytics to understand how students fare and produces a customised educational content (Hoos, 2017). This way, students get a tailored experience and realize better outcomes. Not only that, AI enabled tools are also in use for automating administrative tasks which shortens the time required by educators on teaching.

6. AI in Job Hunting

This is also reverberating in the job sector, where AI technology has been trending. With tools like Canyon AI Resume Builder, you can spin the best resumé that might catch something eye catchy recruiter among a dozen others applications he receives in-between his zoom meeting. Using AI based tools to analyze Job Descriptions and match it with the required skills, experience in different job roles help accelerating the chances of a right fit JOB.

7. Artificial Intelligence in Memory & Storage Solutions

Leading AI solutions provider Innodisk presents its own line of memory and storage with added in-house designed AI at the recent Future of Memory & Storage (FMS) 2024 event. Very typically these are solutions to make AI applications easier, faster and better by improving performance scalability as well on the quality. This has huge implications on sectors with substantial data processing and storage demands (healthcare, finance, self-driving cars).

Conclusion

2024 — Even at the edge of possible, AI is revolutionizing across many industries. AI is changing our lives from tailored chatbots and edge AI to healthcare, finance solutions or education and job search. This will not only improve your business profile as a freelancer who create SEO optimized content and write copies but also give your clients in the writing for business niche some very useful tips.

[thenookspace]

Girl help I'm having aroace Miguel O'Hara thots

[sealovinq]

i need friends /gen (slight rant in tags)

[rndexperts]

In this blog, we’ll explore some of the top #website #design #companies in #New #York that #specialize in #working with #fashion brands.

[shivanshudev]

Build a successful SaaS business with this book!

I want to share the book that I’ve recently written “Cheat Code to Build a SaaS”, in this book I’ve explained all the steps, tips, and tricks, some useful resources, and how you can kick off with your SaaS. This book will answer most of your questions and in case if you have any further questions feel free to contact me.

[ruizgomez3d]

Diseño generado por inteligencia artificial

[screampotato]

So many stupid things that happen in the world are the result of overpromoted business-fandom stans getting too excited by a PowerPoint shown to them by a smart salesperson at a lunchtime meeting.

There were snacks. They wore their shiniest tie and got to play at being Big Boss Decision Maker. They probably got pens, maybe even a free mug, and their eyes lit up with cultic worship of the Next Big Thing.

So now we all have to bat away "AI assistants" like wasps at a picnic while trying to get anything done.

googledocs you are getting awfully uppity for something that can’t differentiate between “its” and “it’s” correctly

[jcmarchi]

5 Ways AI Orchestrators Can Reduce Employee Friction

New Post has been published on https://thedigitalinsider.com/5-ways-ai-orchestrators-can-reduce-employee-friction/

5 Ways AI Orchestrators Can Reduce Employee Friction

Employees are the lifeblood of every organization and keeping them content is crucial to ongoing success. Similarly, the rise of artificial intelligence in the workplace is not just about cutting-edge technology; it’s about people. AI’s potential to streamline tasks and boost efficiency is undeniable, with 78% of employees expecting some or most of their current tasks to be automated in the next two years.

However, the journey to full integration can create employee friction if not managed thoughtfully. Reducing this friction requires reframing AI implementation as a change management project. Instead of placing the responsibility for AI adoption solely on CIOs, organizations will benefit by creating a new role of AI orchestrator in 2025 to manage the relationship between AI and staff.

What Is an “AI Orchestrator?”

An AI orchestrator is the intermediary between technology and people that humanizes AI adoption. They align AI systems with organizational goals, while addressing employee concerns and needs. This role is not just technical; it incorporates change management, trust-building and workforce development.

AI orchestrators develop strategies for integrating AI into workflows, ensuring the technology supports employees rather than overwhelming them. Their responsibilities include managing how AI tools are implemented, training employees to work effectively alongside AI and creating transparent policies that foster trust.

This orchestrator role bridges the gap between innovation and employee experience in five primary ways to create a smoother, more collaborative workplace.

#1. Mitigating the Impact of AI on Employees and Morale

Introducing AI into an organization is more about managing cultural change than deploying new tools. Employees often worry about what AI means for their roles—whether it’s a threat to their job security or an opportunity for growth. Addressing these concerns head-on takes more than just reassurance and is critical for successful implementation, but 28% of companies struggle to address fears of AI-related layoffs effectively. Trust is the foundation of successful AI adoption, yet 43% of surveyed employees in the U.S. and Europe lack confidence in their employers’ ability to handle AI responsibly. AI orchestrators are fundamental in building faith by addressing concerns about job security and data transparency.

“The two biggest concerns I hear are: “Is this a threat to my job? How can this technology support me in my role?”

AI orchestrators can lessen these concerns by reframing AI as a tool to enhance, not replace, human work. By cultivating a culture of curiosity and empowerment, they can ensure employees see AI as a partner in their work, not a threat.

#2: Cultivating Trust Through Communication

To cultivate trust, AI orchestrators must clearly demonstrate how AI supports—rather than replaces—human roles. Proactive communication about new growth opportunities and redefining roles helps to alleviate fears and builds confidence. Data transparency is also a critical factor, because employees need to understand how AI systems make decisions and whether those decisions align with ethical principles.

AI orchestrators must implement clear policies on data governance, ensuring that the tools use reliable, unbiased data. They must also establish feedback loops that allow employees to provide input on AI systems, fostering a sense of ownership and confidence. Through transparent communication and robust change management, orchestrators can clarify how AI reduces mundane tasks, allowing employees to focus on higher-value activities and leave repetitive work to automation.

By openly discussing how AI supports rather than replaces jobs, organizations can also reduce fears of obsolescence. For example, rather than focusing solely on efficiency gains, orchestrators can highlight the opportunities AI creates for career growth and skill development. This shift improves job satisfaction and reduces burnout by redistributing workloads. Personalization carries a significant role here, as tailoring workflows and tasks to individual strengths and goals empowers employees and boosts morale.

#3. Driving Continuous Learning and AI Literacy

For AI to succeed, employees need the skills and confidence to work in tandem with intelligent systems. AI orchestrators can create a skills development framework to build employee proficiency and embed continuous learning into everyday workflows. Adaptive learning paths customized for individual roles, ability levels and career aspirations ensure that training is relevant and effective.

Micro-learning is an effective strategy—using short, contextual training sessions delivered in real time. For instance, if an employee encounters a new AI tool, the system can provide instant guidance, turning a moment of uncertainty into an opportunity for growth. AI orchestrators must also promote AI literacy at all organizational levels, demystifying complex technologies and making them accessible.

Additionally, an employee-first mindset is crucial. By offsetting automation with human-centric outcomes, AI orchestrators optimize the employee experience while driving operational efficiency. This alignment creates a win-win scenario where both the organization and its workforce can thrive.

#4. Aligning AI Integration With Broader Business Goals

To maximize the benefits of AI, an organization must align its adoption with their overarching goals. AI orchestrators play a strategic role in this process, ensuring that AI initiatives contribute to both employee well-being and business outcomes.

One key principle is outcome-driven design. AI orchestrators should focus on how AI can directly support key performance indicators (KPIs) and objectives, such as improving efficiency, enhancing customer satisfaction or driving innovation. This requires an agile approach that allows for iterative experimentation and refinement of AI systems. By involving users in the development and execution of the AI strategy, organizations maintain trust and keep the people at the center of the process.

#5. Enhancing Collaboration and Decision-Making

AI orchestrators can foster collaboration by involving employees in the development and execution of AI strategies. This inclusion ensures that the workforce feels heard and valued, which is essential for maintaining morale during periods of change. They help employees move past the noise of repetitive tasks and focus on meaningful, impactful work. Rather than overwhelming workers with data, AI can provide proactive alerts about opportunities or risks. This allows employees to remain in control and concentrate on complex decisions that require a human touch.

AI’s role isn’t to replace human judgment but to enhance it, delivering insights that empower smarter, faster decision-making. Collaboration improves when employees are included in the evaluation processes, ensuring that they feel heard and included and that the AI tools align with their needs.

Measuring the Impact of AI Orchestrators

Evaluating the effectiveness of an AI orchestrator requires tracking both quantitative and qualitative metrics. Quantitative measures include adoption rates of AI tools, efficiency improvements and reductions in errors. These metrics provide a clear picture of the operational benefits achieved through AI integration.

However, qualitative metrics are equally important. Employee engagement scores, for instance, can indicate how well the workforce is adapting to AI. Surveys measuring perceptions of AI systems and belief in their fairness provide valuable insights into the cultural impact of AI adoption. By integrating AI-driven insights into workflows, employees can make faster, more informed decisions.

Other key metrics include upskilling outcomes, such as training completion rates and the uptake of AI-augmented roles. Workload balance is another critical area to monitor, as it directly affects employee morale and burnout rates. By maintaining robust feedback loops, AI orchestrators ensure continuous improvement and alignment with organizational goals.

Making AI Work for the People

AI is more than a tool for efficiency—it’s an opportunity to create adaptable, human-centric and innovative workplaces. It’s not about replacing humans; it’s about empowering them to focus on meaningful, strategic work. AI orchestrators can transform workplaces into spaces where technology and people thrive together by addressing fears, investing in continuous learning and fostering collaboration.

With thoughtful integration, AI becomes an enabler of trust, empowerment and innovation for your organization, paving the way for a workplace that works better for everyone.

[fusiondynamics]

Future Applications of Cloud Computing: Transforming Businesses & Technology

Cloud computing is revolutionizing industries by offering scalable, cost-effective, and highly efficient solutions. From AI-driven automation to real-time data processing, the future applications of cloud computing are expanding rapidly across various sectors.

Key Future Applications of Cloud Computing

1. AI & Machine Learning Integration

Cloud platforms are increasingly being used to train and deploy AI models, enabling businesses to harness data-driven insights. The future applications of cloud computing will further enhance AI's capabilities by offering more computational power and storage.

2. Edge Computing & IoT

With IoT devices generating massive amounts of data, cloud computing ensures seamless processing and storage. The rise of edge computing, a subset of the future applications of cloud computing, will minimize latency and improve performance.

3. Blockchain & Cloud Security

Cloud-based blockchain solutions will offer enhanced security, transparency, and decentralized data management. As cybersecurity threats evolve, the future applications of cloud computing will focus on advanced encryption and compliance measures.

4. Cloud Gaming & Virtual Reality

With high-speed internet and powerful cloud servers, cloud gaming and VR applications will grow exponentially. The future applications of cloud computing in entertainment and education will provide immersive experiences with minimal hardware requirements.

Conclusion

The future applications of cloud computing are poised to redefine business operations, healthcare, finance, and more. As cloud technologies evolve, organizations that leverage these innovations will gain a competitive edge in the digital economy.

🔗 Learn more about cloud solutions at Fusion Dynamics! 🚀

[bridgesacademy]

Navigating the Future: AI's Influence on Project Management in Aerospace

The Rise of Artificial Intelligence in Aerospace Project Management Artificial Intelligence (AI) has emerged as a game-changer in various industries, and aerospace project management is no exception. With its ability to process vast amounts of data, analyze complex patterns, and make informed decisions, AI is revolutionizing the way projects are managed in the aerospace sector. From improving…