#Data privacy and security

[jcmarchi]

The Rise of Agentic AI: A Strategic Three-Step Approach to Intelligent Automation

New Post has been published on https://thedigitalinsider.com/the-rise-of-agentic-ai-a-strategic-three-step-approach-to-intelligent-automation/

The Rise of Agentic AI: A Strategic Three-Step Approach to Intelligent Automation

Like many, I love good advice. But sometimes, I need help to get something done.

The next rev of AI — agentic AI — will move us from advice to getting stuff done. It will enable businesses that harness it to take a transformative leap forward.

But leap to what? And transform how?

Agentic AI can reduce the cost of customer support by 25-50% while dramatically improving quality and customer satisfaction because it goes beyond simple task execution. It can also autonomously resolve complex workflows and customer interactions. When applied to customer support, for example, agents don’t just respond to queries but comprehensively resolve inquiries from start to finish, reducing human intervention and increasing efficiency.

As with all new technologies, adopting agentic AI presents challenges. A company must have its workflows well-documented and deeply understood and possess a robust knowledge base on which the agentic AI can draw. And just as with generative AI, data privacy and security concerns require companies to understand the large language models (LLMs) they tap into and how information is stored and passed by them.

However, the right adoption strategy for intelligent automation can ensure success. To reap the most benefits, companies will need to do three things:

Start in the right place

Balance agentic AI with human expertise

Tap into a network of agentic expertise

While it’s still early days, here’s what we’re learning as we work with clients in various industries to integrate agentic AI into their workflows and operations.

Don’t start small — start smart

Perhaps counterintuitively, the best place to start is with your highest-volume use cases. Isn’t that risky? Not if done properly. In fact, although starting with low-volume use cases might appear to reduce risk, it actually increases the risk of not seeing sufficient impact to justify the investment.

Starting with high-volume use cases offers the greatest potential return on investment (ROI), enabling a company to quickly realize significant impact, maximize efficiency gains, and demonstrate the clear value of using AI agents.

How do you mitigate the risk of starting too big? By initially implementing the agents with just 1% of the biggest use case volumes. This approach allows you to identify and fix potential issues while preparing for broader automation.

For a retail company, this might mean automating “where’s my order?” or return-processing workflows. In addition to monitoring shipments across the company’s fulfillment network, an AI agent could verify a customer’s identity, check real-time status and update the customer — even offer options if the order has been unexpectedly delayed.

For returns, an agent could check the company’s return policies, gather customer information about the return, suggest next steps, and complete appropriate associated tasks, like printing a return label, scheduling a pickup, issuing a refund, etc. The return agent could also watch for patterns of abuse and, if warranted, adjust its decisions and next steps accordingly.

After a company deploys an AI agent on a sample portion of a high-volume workflow, it must monitor workflow activity to identify where it might need adjustments. When the agent functions smoothly, the company can expand its use in pre-defined amounts until it eventually handles the entire workflow volume.

Of course, not all tasks and workflows lend themselves to total automation with agentic AI. in fact, keeping human experts connected to the overall workings of AI agents will yield the best results.

Balance AI with human expertise

As a company examines its workflows and processes for automation candidates, it will find instances best suited to human oversight or direct action. Agentic AI is an incredible, highly capable innovation, but it has limitations.

Three in particular:

AI agents, like the LLMs that support them, don’t currently possess general intelligence. They function best in narrow, well-defined areas. So, while humans might learn how to perform a particular task and abstract from that knowledge principles they then apply to different, unrelated tasks, AI currently cannot.

Then, there are workflows with extremely complex decision matrices that demand significant experience and experience-based judgment. For example, a retail company might need content for a straightforward marketing campaign. An agent can handle that — and execute the campaign.

But want to revisit a brand’s expression and promise across multiple markets? An agent wouldn’t be up to the task. It would require insight into market trends, brand perception, cultural differences across markets, and insight into how brands evoke emotions.

Finally, workflows dependent on typically “messy” human communication and emotional nuance that require distinctly human elements such as compassion best remain with humans. Think of customer service issues involving irate customers or healthcare interactions where a patient’s emotional or mental state may be at risk.

But I’m not describing a binary decision process: give this to the AI agents; everything else goes to humans. In practice, a hybrid model works best.

While there needs to be a clear delineation between AI and human roles, even when tasks need to be handled by human experts, AI should still be on hand to extend their abilities and make the most of their expertise.

Generally speaking, companies should use agentic AI for transactional, repeatable tasks and tap human expertise for high-stakes interactions, emotionally complex scenarios, and situations requiring nuanced judgment. A $50 warranty claim might be fully automated, while a $5,000 claim would most likely benefit from human emotional intelligence and brand-sensitive handling.

Tap into an agentic network

Perhaps most important, don’t try to dive into agentic AI solo. Establish a network of expert partners. Emerging agentic AI platforms can supply the technology across digital and voice channels. A systems integrator and advisor that understands customer operating environments can train agentic models for specific customer needs and then integrate them into a company’s operations.

Integrating these models into enterprise systems requires deep expertise in complex workflows and industry-specific challenges. It also requires an intricate understanding of workflow decision points and where human interaction is most needed – or beneficial, so that agentic AI is a boon to workers and team productivity.

Agentic AI offers businesses a powerful way to improve efficiency, enhance customer experiences, and drive innovation. But success isn’t about rushing in. It’s about making smart, informed choices: Starting in the right place, applying a hybrid human/AI model, and tapping into the right network.

Because with the world of AI changing so quickly, you can’t afford to go it alone.

[abbiistabbii]

I think every computer user needs to read this because holy fucking shit this is fucking horrible.

So Windows has a new feature incoming called Recall where your computer will first, monitor everything you do with screenshots every couple of seconds and "process that" with an AI.

Hey, errrr, fuck no? This isn't merely because AI is really energy intensive to the point that it causes environmental damage. This is because it's basically surveilling what you are doing on your fucking desktop.

This AI is not going to be on your desktop, like all AI, it's going to be done on another server, "in the cloud" to be precise, so all those data and screenshot? They're going to go off to Microsoft. Microsoft are going to be monitoring what you do on your own computer.

Now of course Microsoft are going to be all "oooh, it's okay, we'll keep your data safe". They won't. Let me just remind you that evidence given over from Facebook has been used to prosecute a mother and daughter for an "illegal abortion", Microsoft will likely do the same.

And before someone goes "durrr, nuthin' to fear, nuthin to hide", let me remind you that you can be doing completely legal and righteous acts and still have the police on your arse. Are you an activist? Don't even need to be a hackivist, you can just be very vocal about something concerning and have the fucking police on your arse. They did this with environmental protesters in the UK. The culture war against transgender people looks likely to be heading in a direction wherein people looking for information on transgender people or help transitioning will be tracked down too. You have plenty to hide from the government, including your opinions and ideas.

Again, look into backing up your shit and switching to Linux Mint or Ubuntu to get away from Microsoft doing this shit.

[adambernard55]

Building a Sustainable Ecommerce Business

Strategies for Long-Term Success In today’s rapidly evolving marketplace, building a successful ecommerce business requires more than just attracting customers and driving sales. True success lies in building a sustainable enterprise that considers its impact on the environment, society, and the long-term well-being of its customers. This shift in focus demands a holistic approach that…

[mkcecollege]

Engineering Ethics and Navigating Challenges of Technologies

At M.Kumarasamy College of Engineering (MKCE), we emphasize the significance of engineering ethics in shaping responsible engineers. Engineering ethics guide decision-making, foster professionalism, and ensure societal welfare. Our curriculum integrates these principles, teaching students to consider the long-term impacts of their work. Students are trained in truthfulness, transparency, and ethical communication, while also prioritizing public safety and environmental sustainability. We focus on risk management and encourage innovation in sustainable technologies. Our programs also address contemporary challenges like artificial intelligence and cybersecurity, preparing students to tackle these with ethical responsibility. MKCE nurtures future engineers who lead with integrity and contribute to society’s well-being.

To know more : https://mkce.ac.in/blog/engineering-ethics-and-navigating-the-challenges-of-modern-technologies/

[mehmetyildizmelbourne-blog]

The Surprising Danger Lurking in Your Smart Glasses: A Wake-Up Call for Privacy

How Brilliant Innovations Can Be Misused and Abused, Causing Unnecessary Stress to the Public As a retired scientist and health advocate in many countries, I’ve had the privilege of witnessing incredible technological advances throughout my 53-year career in the healthcare industry. Privacy issues have always concerned me as they affect our mental health.  From early computing systems to the…

[connect-infosoft-technologies]

The Vital Role of Data Privacy and Security in SaaS Development in Europe

In Europe, data privacy and security play a vital role in the development of Software-as-a-Service (SaaS) solutions. With the implementation of the General Data Protection Regulation (GDPR) in 2018, European businesses and individuals have become increasingly aware of the importance of protecting personal data.

SaaS developers in Europe must adhere to strict data privacy regulations to ensure the confidentiality, integrity, and availability of user data. They must implement robust security measures to prevent unauthorized access, data breaches, and other cyber threats.

[rajaniesh]

Implementing Data Mesh on Databricks: Harmonized and Hub & Spoke Approaches

Explore the Harmonized and Hub & Spoke Data Mesh models on Databricks. Enhance data management with autonomous yet integrated domains and central governance. Perfect for diverse organizational needs and scalable solutions. #DataMesh #Databricks

[hw4computers]

Computer Comprehensive AMC terms and conditions

Computer comprehensive Annual Maintenance Contracts (AMCs) typically involve a service agreement between a customer and a service provider (often an IT company or a managed service provider) for the maintenance and support of computer hardware and related equipment. The terms and conditions of such contracts can vary depending on the specific agreement, but here are some common elements and…

[reallytoosublime]

Data privacy refers to the protection of personal and sensitive information collected, processed, and stored by individuals, organizations, or entities. It encompasses the set of practices, policies, regulations, and technologies designed to ensure that individuals have control over their personal data and that this data is handled in a way that respects their rights, maintains its confidentiality, integrity, and availability, and prevents unauthorized access, use, or disclosure.

Data privacy encompasses a range of concepts and principles that collectively aim to safeguard individuals' rights and interests in their personal information. It involves understanding and implementing measures to control who has access to your data, how it is used, and for what purposes. This extends to both online and offline contexts, as more and more of our activities and interactions occur in the digital realm.

Key aspects of data privacy include: Data Collection: Organizations collect various types of data from individuals, including names, addresses, phone numbers, email addresses, and more. Data privacy emphasizes the need for transparent and informed consent before collecting personal data, ensuring individuals are aware of how their data will be used.

Data Storage and Security: Personal data should be securely stored to prevent unauthorized access, breaches, or leaks. Organizations are expected to implement robust cybersecurity measures to safeguard sensitive information.

Data Processing: When organizations process personal data, such as analyzing it to gain insights or using it for targeted advertising, they must do so within the bounds of applicable laws and regulations. Individuals have the right to know what processing is taking place and to object to certain types of processing.

Data Sharing: Personal data should not be shared with third parties without explicit consent from the individual. This includes sharing data with advertisers, marketers, or other businesses.

User Control: Individuals should have the ability to access their own data, correct inaccuracies, and, in some cases, request the deletion of their data. This principle is enshrined in regulations like the European Union's General Data Protection Regulation (GDPR).

Understanding your digital rights in terms of data privacy empowers you to make informed decisions about sharing your personal information, using online services, and interacting in the digital world while maintaining a reasonable level of control over your own data.

What is Data Privacy? Understanding Your Digital Rights

[youtubemarketing1234]

Data privacy refers to the protection of personal and sensitive information collected, processed, and stored by individuals, organizations, or entities. It encompasses the set of practices, policies, regulations, and technologies designed to ensure that individuals have control over their personal data and that this data is handled in a way that respects their rights, maintains its confidentiality, integrity, and availability, and prevents unauthorized access, use, or disclosure.

Data privacy encompasses a range of concepts and principles that collectively aim to safeguard individuals' rights and interests in their personal information. It involves understanding and implementing measures to control who has access to your data, how it is used, and for what purposes. This extends to both online and offline contexts, as more and more of our activities and interactions occur in the digital realm.

Key aspects of data privacy include: Data Collection: Organizations collect various types of data from individuals, including names, addresses, phone numbers, email addresses, and more. Data privacy emphasizes the need for transparent and informed consent before collecting personal data, ensuring individuals are aware of how their data will be used.

Data Storage and Security: Personal data should be securely stored to prevent unauthorized access, breaches, or leaks. Organizations are expected to implement robust cybersecurity measures to safeguard sensitive information.

Data Processing: When organizations process personal data, such as analyzing it to gain insights or using it for targeted advertising, they must do so within the bounds of applicable laws and regulations. Individuals have the right to know what processing is taking place and to object to certain types of processing.

Data Sharing: Personal data should not be shared with third parties without explicit consent from the individual. This includes sharing data with advertisers, marketers, or other businesses.

User Control: Individuals should have the ability to access their own data, correct inaccuracies, and, in some cases, request the deletion of their data. This principle is enshrined in regulations like the European Union's General Data Protection Regulation (GDPR).

Laws and regulations related to data privacy vary by country, with some of the most prominent ones being the GDPR in Europe, the California Consumer Privacy Act (CCPA) in the United States, and various other regional and national regulations.

Understanding your digital rights in terms of data privacy empowers you to make informed decisions about sharing your personal information, using online services, and interacting in the digital world while maintaining a reasonable level of control over your own data.

#dataprivacy#dataprotection#digitalrights#datasecurity#limitlesstech#dataprivacydefinition#onlineprivacy#internetprivacy#techprivacy#dataprivacyandsecurity#dataandprivacy#dataprivacyexplained#dataprivacypolicy#dataprivacyawarness

What is Data Privacy? Understanding Your Digital Rights

[opensuse-official]

I think it is very cool how tech companies, schools, employers, and universities make it actively difficult to distance yourself from Google, Microsoft, and Apple.

Yes most Linux distros are very stable, way more secure, privacy friendly, and way more customizable. But every institution is built to make technological independence as difficult as possible.

Yelling on the internet that everyone should switch to Linux and FOSS really ignores how much of the technological world is designed to not let that happen.

[incognitopolls]

We ask your questions so you don’t have to! Submit your questions to have them posted anonymously as polls.

[thoughtportal]

Can we protect Minnesotans from the federal government

[musicofthenightphantomoftheopera]

KOSA COPYCAT BILL INTRODUCED IN AUSTRALIA

If you know anybody in Australia that uses the internet, spread the word immediately! Do everything in your power to make your voice heard!

[geezerwench]

[tomorrowusa]

Elon Musk may be technically gone from government but his DOGE minions like Big Balls still have access to highly sensitive information about Americans.

We don't know who the DOGE crew is primarily loyal to or whether they are sharing this information with Elon Musk.

Jen Psaki spoke with New Yorker journalist Ronan Farrow.