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“When security is a seamless part of how we do our jobs, it works best” — Why AWS wants to be the go-to security for your gen AI data

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With generative AI transforming the way businesses around the world work, plan and evolve, the need to ensure the data such platforms use and generate is paramount.

Although primarily still seen as a cloud and storage leader, Amazon Web Services is looking to play a key role in ensuring businesses of all sizes remain safe against the myriad of security threats facing organizations today.

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Want to store 1PB of data in the cloud? This startup can do it for you for as little as $10,000 a month — Qumulo says it can scale to Exabytes off premise and wants to eradicate tapes once and for all

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Qumulo has launched Azure Native Qumulo Cold (ANQ Cold), which it claims is the first truly cloud-native, fully managed SaaS solution for storing and retrieving infrequently accessed “cold” file data.

Fully POSIX-compliant and positioned as an on-premises alternative to tape storage, ANQ Cold can be used as a standalone file service, a backup target for any file store, including on-premises legacy scale-out NAS, and it can be integrated into a hybrid storage infrastructure, enabling access to remote data as if it were local. It can also scale to an exabyte-level file system in a single namespace.

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‘A single chip to outperform a small GPU data center’: Yet another AI chip firm wants to challenge Nvidia’s GPU-centric world — Taalas wants to have super specialized AI chips

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Toronto-based AI chip startup Taalas has emerged from stealth with $50 million in funding and the lofty aim of revolutionizing the GPU-centric world dominated by Nvidia.

Founded by Ljubisa Bajic, Lejla Bajic, and Drago Ignjatovic, all previously from Tenstorrent (the creator of Grayskull), Taalas is developing an automated flow for quickly turning any AI model – Transformers, SSMs, Diffusers, MoEs, etc. – into custom silicon. The company claims that the resulting Hardcore Models are 1000x more efficient than their software counterparts.

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Millions of users may have had data leaked in new French government agency security breach

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A French government agency suffered a cyberattack which has apparently resulted in the country’s largest-ever data leak incident, affecting as many as 43 million victims.

The agency is called France Travail, the country’s unemployment registry and assistance organization, which helps find jobs for the unemployed, and provides them with financial aid. The organization was created in 2008, after ANPE and ASSEDIC merged, and currently counts roughly 45,000 employees. 

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Life Style

Why are so many young people getting cancer? What the data say

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Of the many young people whom Cathy Eng has treated for cancer, the person who stood out the most was a young woman with a 65-year-old’s disease. The 16-year-old had flown from China to Texas to receive treatment for a gastrointestinal cancer that typically occurs in older adults. Her parents had sold their house to fund her care, but it was already too late. “She had such advanced disease, there was not much that I could do,” says Eng, now an oncologist at Vanderbilt University Medical Center in Nashville, Tennessee.

Eng specializes in adult cancers. And although the teenager, who she saw about a decade ago, was Eng’s youngest patient, she was hardly the only one to seem too young and healthy for the kind of cancer that she had.

Thousands of miles away, in Mumbai, India, surgeon George Barreto had been noticing the same thing. The observations quickly became personal, he says. Friends and family members were also developing improbable forms of cancer. “And then I made a mistake people should never do,” says Barreto, now at Flinders University in Adelaide, Australia. “I promised them I would get to the bottom of this.”

It took years to make headway on that promise, as oncologists such as Barreto and Eng gathered hard data. Statistics from around the world are now clear: the rates of more than a dozen cancers are increasing among adults under the age of 50. This rise varies from country to country and cancer to cancer, but models based on global data predict that the number of early-onset cancer cases will increase by around 30% between 2019 and 20301. In the United States, colorectal cancer — which typically strikes men in their mid-60s or older — has become the leading cause of cancer death among men under 502. In young women, it has become the second leading cause of cancer death.

As calls mount for better screening, awareness and treatments, investigators are scrambling to explain why rates are increasing. The most likely contributors — such as rising rates of obesity and early-cancer screening — do not fully account for the increase. Some are searching for answers in the gut microbiome or in the genomes of tumours themselves. But many think that the answers are still buried in studies that have tracked the lives and health of children born half a century ago. “If it had been a single smoking gun, our studies would have at least pointed to one factor,” says Sonia Kupfer, a gastroenterologist at the University of Chicago in Illinois. “But it doesn’t seem to be that — it seems to be a combination of many different factors.”

On the increase

In some countries, including the United States, deaths owing to cancer are declining thanks to increased screening, decreasing rates of smoking and new treatment options. Globally, however, cancer is on the rise (see ‘Rising rates’). Early-onset cancers — often defined as those that occur in adults under the age of 50 — still account for only a fraction of the total cases, but the incidence rate has been growing. This rise, coupled with an increase in global population, means that the number of deaths from early-onset cancers has risen by nearly 28% between 1990 and 2019 worldwide. Models also suggest that mortality could climb1.

Rising rates. Two lines charts showing incidence and death rates of early-onset cancer.

Source: Ref. 1

Often, these early-onset cancers affect the digestive system, with some of the sharpest increases in rates of colorectal, pancreatic and stomach cancer. Globally, colorectal cancer is one of the most common cancers and tends to draw the most attention. But others — including breast and prostate cancers — are also on the rise.

In the United States, where data on cancer incidence is particularly rigorous, uterine cancer has increased by 2% each year since the mid-1990s among adults younger than 502. Early-onset breast cancer increased by 3.8% per year between 2016 and 20193.

The rate of cancer among young adults in the United States has increased faster in women than in men, and in Hispanic people faster than in non-Hispanic white people. Colorectal cancer rates in young people are rising faster in American Indian and Alaska Native people than they are in white people (see ‘Health disparities’). And Black people with early onset colorectal cancer are more likely to be diagnosed younger and at a more advanced stage than are white people. “It is likely that social determinants of health are playing a role in early-onset cancer disparities,” says Kupfer. Such determinants include access to healthy foods, lifestyle factors and systemic racism.

Health disparities. Line chart showing how incidence of colorectal cancer has increased among indigenous people.

Source: Ref. 4

Cancer’s shift to younger demographics has driven a push for earlier screening. Advocates have been promoting events targeted at the under 50s. And high-profile cases — such as the 2020 death of actor Chadwick Boseman from colon cancer at the age of 43 — have helped to raise awareness. In 2018, the American Cancer Society urged people to be screened for colorectal cancer starting at age 45, rather than the previous recommendation of 50.

In Alaska, health leaders serving Alaska Native people have been recommending even earlier screening — at age 40 — since 2013. But the barriers to screening are high; many communities are inaccessible by road, and some people have to charter a plane to reach a facility in which they can have a colonoscopy. “If the weather’s bad, you could be there a week,” says Diana Redwood, an epidemiologist at the Alaska Native Tribal Health Consortium in Anchorage.

These efforts have paid off to some extent: screening rates in the community have more than doubled over the past three decades, and now exceed those of state residents who are not Alaska Natives. But mortality from colorectal cancer has not budged, says Redwood. Although colorectal cancer rates are falling in people over 50 years old, the age group that is still most likely to be screened, the rates in younger Alaska Native people are climbing by 5.2% each year4.

Genetic clues

The prominence of gastrointestinal cancers and the coincidence with dietary changes in many countries point to the rising rates of obesity and diets rich in processed foods as likely culprits in contributing to rising case rates. But statistical analyses suggest that these factors are not enough to explain the full picture, says Daniel Huang, a hepatologist at the National University of Singapore. “Many have hypothesized that things like obesity and alcohol consumption might explain some of our findings,” he says. “But it looks like you need a deeper dive into the data.”

Those analyses match the anecdotal experiences that clinicians described to Nature: often, the young people they treat were fit and seemingly healthy, with few cancer risk factors. One 32-year-old woman that Eng treated was preparing for a marathon. Previous physicians had dismissed the blood in her stool as irritable bowel syndrome caused by intense training. “She was healthy as can be,” says Eng. “If you looked at her, you would have no idea that more than half of her liver was tumour.”

Prominent cancer-research funders, including the US National Cancer Institute and Cancer Research UK, have supported programmes to find other contributors to early-onset cancer. One approach has been to look for genetic clues in early-onset tumours that might set them apart from tumours in older adults. Pathologist Shuji Ogino at Harvard Medical School in Boston, Massachusetts, and his colleagues have found some possible characteristics of aggressive tumours in early-onset cancers. For example, aggressive tumours are sometimes particularly adept at suppressing the body’s immune responses to cancer, and Ogino’s team has found signs of a muted immune response to some early-onset tumours5.

But these differences are subtle, he says, and researchers have yet to find a clear demarcation between early-onset and later-onset cancers. “It’s not dichotomous, but more like a continuum,” he says.

Researchers have also looked at the microorganisms that reside in the human body. Disruptions in microbiome composition, such as those caused by dietary changes or antibiotics, have been linked to inflammation and increased risk of several diseases, including some forms of cancer. Whether there is a link between the microbiome and early-onset cancers is still in question: results so far are still preliminary and it’s difficult to gather long-term data, says Christopher Lieu, an oncologist at the University of Colorado Cancer Center in Aurora. “The list of things that impact the microbiome is so extensive,” he says. “You’re asking people to recall what they ate as kids, and I can barely remember what I ate for breakfast.”

Looking to the past

But increasing the size of studies could help. Eng is developing a project to look at possible correlations between microbiome composition and the onset of cancer at a young age, and she plans to combine her data with those from collaborators in Africa, Europe and South America. Because the number of early-onset cancer cases is still relatively small at any one centre, this kind of international coordination is important to give statistical analyses more power, says Kimmie Ng, founding director of the Young-Onset Colorectal Cancer Center at the Dana-Farber Cancer Institute in Boston.

Another approach is to scrutinize the differences between countries. For example, Japan and South Korea are located near one another and are similar economically. But early-onset colorectal cancer is increasing at a faster rate in South Korea than it is in Japan, says Tomotaka Ugai, a cancer epidemiologist at Harvard Medical School. Ugai and his collaborators hope to determine why.

But data are scarce in some countries. In South Africa, cancer data are collected only from the 16% of the population that has medical insurance, says Boitumelo Ramasodi, regional director for Southern Africa at the Global Colon Cancer Association, a non-profit organization in Washington DC. Those who do not have insurance are not counted. And families rarely keep records of who has died of cancer, she says. For many Black people in the country, cancer is considered a white person’s disease; Ramasodi initially struggled to make sense of her own diagnosis of colorectal cancer at the age of 44. “Black people don’t get cancer,” she thought at the time. “I’m young, I’m Black, why do I have cancer?”

Ultimately, researchers will also have to look back in time for clues to understand rising early-onset cancers, says epidemiologist Barbara Cohn at the Public Health Institute in Oakland, California. Research has shown that cancers can arise many years after an exposure to a carcinogen, such as asbestos or cigarette smoke. “If the latent period is decades, then where do you look?” she says. “We believe that you need to look as early as possible in life to understand this.”

To do that, researchers will need 40–60 years of data, collected from thousands of people — enough to capture a sufficient number of early-onset cancers. Cohn directs an unusual repository of data and blood samples that have been collected from about 20,000 expectant mothers during pregnancy since 1959. Researchers have followed many of the original participants, and their children, since then.

Cohn and Caitlin Murphy, an epidemiologist at the University of Texas Health Science Center at Houston, have already tried combing through the data to look for ties to early-onset cancers, and have found a possible association between early colorectal cancer and prenatal exposure to a particular synthetic form of progesterone, sometimes taken to prevent premature labour6. But the study must be repeated in other cohorts for investigators to be sure.

More informed

Finding studies that follow cohorts from the prenatal stage to adulthood is a challenge. The ideal study would enrol thousands of expectant mothers in several countries, collect data and samples of blood, saliva and urine, and then track them for decades, says Ogino. A team funded by Cancer Research UK, the US National Cancer Institute and others will analyse data from the United States, Mexico and several European countries, to look for environmental exposures and other possible influences on early-onset cancer risk. Murphy and Cohn also hope to incorporate data collected from fathers and are working with collaborators to analyse blood samples in search of more chemicals that offspring might have encountered in the womb.

Murphy expects the results to be complicated. “At first, I really believed that there was something unique about early-onset colorectal cancers compared to older adults, and a risk factor out there that explains everything,” she says. “The more time I’ve spent, the more it seems clear that there’s not just one particular thing, it’s a bunch of risk factors.”

For now, it’s important for physicians to share their data on early-onset cancers and to follow their patients even after they complete their therapy, to learn more about how best to treat them, says Irit Ben-Aharon, an oncologist at the Rambam Health Care Campus in Haifa, Israel. Cancer treatment in young people can be fraught: some cancer drugs can cause cardiovascular problems or even secondary cancers years after treatment — a risk that becomes more concerning in a young person, she says.

Young adults might also be pregnant at the time of diagnosis, or more concerned about the impact of cancer drugs on their fertility than are people who are past their reproductive years. And they are less likely to be retired, and more likely to be concerned about whether their cancer treatment will cause long-term cognitive damage that could hinder their ability to work.

When Candace Henley was diagnosed with colorectal cancer at the age of 35, she was a single mother raising five children. The aggressive surgery she received rendered her unable to continue in her job as a bus driver, and the family was soon homeless. “I didn’t know what questions to ask and so the decisions around treatment were made for me,” says Henley, who went on to found The Blue Hat Foundation for Colorectal Cancer Awareness in Chicago, Illinois. “No one unfortunately considered what my needs were at home.”

In the years since Eng first noticed how young her patients were, certain things have changed. Some advocacy groups have begun targeting their information campaigns at younger audiences. People with early-onset cancers are more informed now and seek out second opinions when physicians dismiss their symptoms, Eng says. This could mean that physicians will more often catch early-onset cancers before they have spread and become more difficult to treat.

But Barreto still doesn’t have all the answers he promised. He wants to study the impact of prenatal stresses, such as exposure to alcohol and cigarette smoke or malnourishment, on early-cancer risk. He’s contacted scientists around the world, but no biobanking projects contain the data and samples that he requires.

If all of the data he and others need aren’t available now, it’s understandable, he says. “We never saw this coming. But in 20 years if we don’t have databases to record this, it’s our failure. It’s negligence.”

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How Apple’s Advanced Data Protection Works, and How to Enable It on Your iPhone

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ADP extends that protection pretty considerably to also cover your iCloud backups, iCloud Drive, and the information in Photos, Notes, and Reminders. Without ADP enabled, this data is still encrypted, which adds a strong layer of protection from third parties or bad actors. But Apple can still access this data and turn it over to the cops.

End-to-end encryption closes that loophole. If an Apple employee decides to go rogue, or Apple gets hacked and your files get leaked—and neither of those scenarios have happened, to our knowledge—ADP will ensure your data is still safe. It also means Apple can’t get your files back if you lose access to them: The passcodes and passwords on your Apple devices are the only route through which end-to-end encrypted data can be unlocked. Apple has a full and comprehensive explanation of iCloud’s security and privacy features.

ADP does make iCloud on the web harder to get into.

Apple via David Nield

So, do you need ADP? If you want the most complete level of security and privacy possible, then yes. Just make sure you have backup methods for recovering your account (more on this in a moment), as Apple won’t be able to help you unlock your encrypted files if your account becomes inaccessible. While the default, standard encryption Apple puts in place is already very strong, ADP covers more of your data, which is reassuring in the slim chance Apple’s data centers suffer a breach or the FBI wants to take a look at your iCloud files.

It’s also worth bearing in mind that all this extra encryption restricts iCloud access in your web browser (the web portal where you can get at your emails, photos, and so on). You can still log in to iCloud on the web, but you’ll need to confirm the connection on a trusted device (like an iPhone or Mac) every single time you log in—and you’ll need to reauthorize the link every hour while you browse your files. If you use iCloud on the web a lot, you might find life more convenient without ADP enabled.

How to Enable Advanced Data Protection

If you’re ready to enable ADP, you can do it right from your iPhone—as long as all the devices associated with your Apple ID are running the latest software, and your Apple ID has two-factor authentication switched on. (If you haven’t yet done this, you’ll find instructions on the Apple website.)

If you’re using an iPhone or an iPad, open Settings, then tap your name at the top. Choose iCloud, then Advanced Data Protection: You’ll see a screen briefly explaining how the feature works, and you can tap Turn On Advanced Data Protection to do just that. At this point you’ll be told if there are any devices connected to your Apple ID that aren’t compatible with ADP, and you’ll be given the option to “remove” them. If you do remove a device, it will no longer be linked to your Apple ID, and it won’t sync to your iCloud account, so it’s not recommended you “remove” any devices you’re still using. A better option would be to update the software on these devices to make them compatible with ADP, or replace the devices with newer versions.

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MinIO open-source object storage data solution with high performance and S3 compatibility

MinIO open-source object storage solution

If you are looking for a high performance open source storage solution you might be interested in MinIO. Offering S3 compatibility and allowing users to host their data on their own servers. It provides an alternative to AWS S3, addressing concerns about proprietary software risks and potential performance issues. MinIO supports features such as buckets, access policies, versioning, and object locking. It can be installed on a user’s own server or through a cloud platform service, which can handle installation, backup, updates, and maintenance.

The platform’s user interface includes options for dark and light modes, and it guides users through creating buckets and managing data. MinIO also offers the ability to create public or private buckets, version control, and access management through user and service accounts. Advanced features include event-based actions, monitoring, metrics, and tiering for automated data management. The platform is scalable, supporting site replication and cluster expansion.

MinIO is a heavyweight in the world of data storage, offering a level of performance that can go toe-to-toe with industry giants like AWS S3. But what sets it apart is its open-source nature, giving you the reins to steer your data management in any direction you choose. This is especially valuable if you’re looking to spread your storage solutions across different platforms or if you’re planning to migrate away from AWS S3.

One of the standout features of MinIO is its seamless compatibility with Amazon S3 APIs. This means you can easily integrate it with a plethora of services and tools you’re already using, making the transition smooth and hassle-free. If you’re considering diversifying your storage options or moving away from a sole reliance on AWS S3, MinIO’s compatibility is a significant advantage.

MinIO Data Object Storage

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When it comes to handling your data, MinIO doesn’t play around. You can set it up on your own infrastructure, or opt for a cloud service that takes care of the installation and upkeep for you. This flexibility allows you to choose the path that best aligns with your organization’s needs and goals. The user interface of MinIO is a breath of fresh air, designed to be straightforward and user-friendly. It doesn’t matter if you’re a fan of dark or light mode; the interface has got you covered with all the essential tools you need. You can create buckets, manage versions, lock objects, and set quotas—all with a few clicks.

But what about keeping your data safe? MinIO has you covered there, too. You can create both public and private buckets, ensuring that your data is accessible only to those you permit. The platform also comes equipped with robust user and service account management tools, so you can set precise access policies and maintain tight control over who can modify or view your data.

MinIO is Built to Scale

Efficiency is key in any operation, and MinIO understands that. It offers event-based actions that can automate your workflows, boosting your operational efficiency. Plus, with its monitoring tools, you’ll get valuable insights into how your storage is being used and how it’s performing, enabling you to make smart, data-driven decisions.

As your organization grows, so do your storage needs. MinIO is built to scale right alongside you. It supports site replication and cluster expansion, which means you can increase your storage capacity whenever you need to. And you won’t have to worry about performance taking a hit as you grow; MinIO is engineered to provide rapid data access, no matter how large your storage demands become.

MinIO is more than just a storage solution; it’s a powerful tool that offers you the flexibility and control you need to manage your data effectively. With its S3 compatibility, user-friendly interface, and advanced features for scalability and automation, MinIO is an excellent choice for any organization looking to step up its data storage game. Whether you’re searching for an alternative to AWS S3 or you simply desire more control over your storage infrastructure, MinIO has the capabilities to meet—and exceed—your expectations.

So, if you’re ready to take the next step in data storage and management, consider MinIO. It’s not just about storing data; it’s about empowering you to manage, secure, and scale your data storage in a way that aligns with your organization’s unique needs. With MinIO, you’re not just choosing a storage solution; you’re choosing a partner that grows with you, ensuring that your data is always in the right hands—yours.

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Cyberattack countermeasures include AI-enhanced data resilience

IBM Cyberattack countermeasure

In the ever-evolving digital landscape, where cyber threats loom large and data breaches are a constant worry, IBM has stepped up its game with the introduction of a new suite of AI-powered solutions aimed at fortifying cybersecurity measures. These solutions are designed to tackle the increasing menace of cyberattacks, particularly the threat of ransomware, which has become a significant concern for organizations worldwide.

Ransomware attacks have the potential to cripple systems, block user access, and demand hefty ransoms, making them a top priority in the realm of IT security. IBM’s latest offerings are engineered to detect such threats earlier and with greater accuracy, giving organizations a fighting chance against these malicious incursions.

At the heart of IBM’s technological advancements is the fourth-generation FlashCore Module technology, now a key component of the IBM Storage FlashSystem products. This cutting-edge technology utilizes AI-based sensors that provide early warnings to IT teams about potential cyber threats, fostering a proactive stance towards data protection.

Storage Defender software

The IBM Storage FlashSystem products are further enhanced with machine learning models that scrutinize data streams in real-time, identifying unusual patterns that could indicate a ransomware attack or other cyber threats. This capability allows for immediate action to be taken to avert potential security breaches.

IBM’s upgraded Storage Defender software is another critical piece of the puzzle, offering a robust data resilience strategy that can be scaled to fit various IT environments. The software’s AI-driven sensors are fine-tuned for rapid and accurate detection of threats, ensuring that organizations are alerted promptly to any signs of danger.

Integration is a key focus for IBM, with the Storage Defender software built to work seamlessly with other IBM Storage and Security solutions, as well as with third-party data platforms. This interoperability fosters a unified and formidable defense strategy across an organization’s entire IT infrastructure.

But IBM’s solutions don’t just stop at threat detection; they also emphasize recovery. The systems are equipped to create immutable backup copies, which are essential for restoring systems after a breach. Additionally, automated recovery processes are in place to enable organizations to bounce back quickly from an attack, minimizing downtime and associated costs.

IBM’s AI-enhanced data resilience solutions represent a comprehensive approach to cybersecurity. By integrating the latest FlashCore Module technology with the IBM Storage FlashSystem products and enhancing the IBM Storage Defender software, IBM provides organizations with the tools they need for early threat detection, robust data protection, and rapid recovery following cyberattacks. As cyber threats become increasingly complex, IBM’s commitment to innovation in data resilience offers organizations a proactive defense in the ongoing fight against cybercrime.

Understanding Cyber Threats and Ransomware

The introduction of these AI-enhanced solutions by IBM is timely, as the digital world continues to grapple with the reality of sophisticated cyber threats. Organizations are in dire need of advanced technologies that can not only detect but also predict and prevent potential cyberattacks before they wreak havoc. IBM’s new suite of tools is a step in that direction, offering a blend of early detection capabilities and recovery options that can help maintain business continuity in the face of cyber adversity.

The use of AI and machine learning in cybersecurity is a reflection of the growing trend towards intelligent, automated systems that can keep pace with the speed and complexity of modern cyber threats. IBM’s approach to integrating these technologies into their storage and security solutions demonstrates a forward-thinking strategy that could set a new standard for data resilience in the industry.

As organizations continue to navigate the challenges of protecting their data and IT infrastructure, solutions like those offered by IBM will become increasingly valuable. The ability to quickly recover from an attack is just as important as preventing one, and IBM’s focus on both aspects of cybersecurity positions them as a leader in the field.

IBM’s AI-Powered Cybersecurity Innovations

The digital world is a battlefield, and cyber threats are the enemy. With IBM’s new AI-powered solutions, organizations have access to an arsenal of tools designed to detect, defend, and recover from cyberattacks. As the fight against cybercrime intensifies, these technologies will play a crucial role in ensuring the safety and security of digital assets. IBM’s latest innovations are a clear indication that the company is dedicated to providing cutting-edge solutions to one of the most pressing issues facing organizations today.

Cyber threats are malicious activities that aim to damage or steal data and disrupt digital life. Ransomware, a type of malware, is particularly dangerous because it encrypts a victim’s files and demands payment for the decryption key. These attacks can paralyze essential services and businesses, leading to significant financial losses and damage to reputation. The sophistication of ransomware tactics has grown, with attackers using more advanced methods to infiltrate systems. As a result, organizations must enhance their cybersecurity measures to detect and respond to these threats swiftly.

IBM’s Storage Defender

IBM’s introduction of AI-powered solutions is a significant step in the fight against cyber threats. At the core of these advancements is the fourth-generation FlashCore Module technology, which is integrated into IBM Storage FlashSystem products. This technology employs AI to monitor and analyze data patterns, enabling the early detection of potential threats, including ransomware. By using machine learning algorithms, the system can identify anomalies in data streams that may signify a cyberattack, allowing IT teams to take preemptive measures to protect their digital assets.

IBM’s Storage Defender software plays a vital role in strengthening an organization’s data resilience strategy. It uses AI-driven sensors for quick and precise threat detection, which is crucial for timely alerts to potential risks. The software is designed to scale across different IT environments, ensuring that businesses of all sizes can benefit from robust cybersecurity.

Furthermore, IBM emphasizes not only threat detection but also recovery. The creation of immutable backup copies and automated recovery processes are essential features that help organizations recover from cyberattacks, reducing downtime and operational losses. IBM’s comprehensive approach to cybersecurity, combining early detection with strong defensive measures and efficient recovery options, provides a well-rounded defense against the evolving landscape of cyber threats.

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How to Declutter Your Mac and Manage System Data

Declutter Your Mac

In this article we will look at how you can declutter your Mac and manage your System Data. Are you struggling with a Mac that’s sluggish and low on space? You’re not alone. Many Mac users find themselves grappling with large system data storage. Fortunately, there’s a solution. This video below from Amir Bendabi delves into effective strategies for managing system data and freeing up space on your Mac.

Addressing System Data Storage:

Firstly, let’s talk about system data. It’s a common culprit for taking up significant space on your Mac. If you’ve noticed your computer slowing down, it’s time to take a closer look at what’s hogging your storage. A previous video on this topic garnered much attention, highlighting its relevance among Mac users.

Spotting the Storage Hogs:

So, where to begin? Identifying large files and folders is key. For instance, Adobe applications and their caches can be substantial storage consumers. But remember, what’s sizable in one case may differ in another. It’s about finding what’s large in your specific situation.

Navigating with Ease:

Navigating these storage-heavy folders doesn’t have to be a maze. With simple commands in Finder, such as Command + Shift + G, you can effortlessly access system libraries and caches. A step-by-step guide through these processes can make it a breeze.

Delete with Care:

Now, before you start deleting files, a word of caution: not all files are expendable. Some might look unimportant but are crucial for your system’s functionality. It’s essential to understand what you’re deleting to avoid unintended consequences.

A Practical Approach:

Practical demonstrations, like removing outdated Adobe files, can be incredibly helpful. Watching someone navigate this process provides clarity and confidence when you decide to do it yourself.

Know Your System Inside Out:

Understanding your system folders and applications is crucial. There are certain areas and pre-installed applications that are best left untouched to ensure the smooth running of your Mac.

Learning from Examples – Final Cut Pro:

Take, for example, Final Cut Pro. Improper settings in such applications can lead to excessive storage usage. Adjusting these settings can prevent unnecessary space consumption.

Engaging with the Audience:

Addressing viewer comments and questions is an integral part of learning. It shows a commitment to resolving common issues and enhancing user experience.

Wrapping It Up:

Finally, wrapping up with a clear summary of the key points helps reinforce what you’ve learned and ensures you’re ready to tackle your Mac’s storage issues.

By following these steps, you can effectively manage your Mac’s system data and clear up space. This not only improves your Mac’s performance but also enhances your overall user experience. Remember, the key is understanding what consumes space and tackling it with knowledge and caution.

You will be pleased to know that managing your Mac’s storage doesn’t have to be a daunting task. With the right approach and understanding, you can keep your system running smoothly and efficiently. We hope that you find this article on how to declutter your Mac and manage your System Data useful.

Source & Image Credit: Amir Bendabi

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Unlocking Excel Data Analysis with ChatGPT

Excel Data Analysis

In the expansive universe of data analysis, Microsoft Excel reigns supreme as an unparalleled instrument, boasting an extensive array of capabilities designed for the meticulous dissection and comprehensive understanding of multifaceted datasets. Yet, the reality remains that the sophisticated nuances of Excel’s advanced functionalities, including but not limited to pivot tables and multifarious formulas, remain elusive to a significant portion of its users. These users find themselves at a crossroads, yearning for the power of Excel’s analytical might yet be deterred by the daunting prospect of mastering its complex features.

It is within this context that the groundbreaking fusion of Artificial Intelligence (AI) with Excel emerges as a beacon of innovation. This integration ushers in a transformative epoch, specifically tailored for individuals and professionals eager to streamline their data analysis endeavors. By circumventing the necessity for intensive traditional Excel training, this AI-enhanced approach offers a promising avenue for harnessing the full potential of data analysis, making it both accessible and manageable for a broader audience.

Access Made Easy

Beginning your journey with the AI Data Analyst feature integrated within ChatGPT is a process marked by its simplicity and directness, yet it requires the acquisition of a premium subscription as a fundamental prerequisite. Embarking on this initial step serves as a key that unlocks an impressive array of tailor-made Generative Pre-trained Transformers (GPTs). Among this collection is the distinguished Data Analyst GPT, a tool specifically engineered to revolutionize the way you approach data analysis tasks. This specialized GPT stands ready, not just to augment your existing data analysis capabilities but to fundamentally transform them, offering a new perspective on how data can be interpreted, analyzed, and leveraged for insightful decision-making. Through this, ChatGPT’s AI Data Analyst feature promises to be a pivotal ally in your data analysis ventures, simplifying complex processes and enabling a more intuitive interaction with your datasets.

A New Frontier in Functionality

This comprehensive overview of functionality transports users into a domain where the essence of data analysis transcends the mere acquisition of technical expertise, venturing into the more critical skill of formulating pertinent questions. It’s a shift towards a paradigm where the focus is less on the mechanical aspects of manipulating data through complex tools and more on intellectual engagement with the data itself. Whether your interests lie in dissecting sales patterns, unraveling the nuances of customer behaviors, or projecting financial outcomes, the AI Data Analyst emerges as an invaluable companion in your analytical journey. Positioned as your personal data sorcerer, this tool is adept at navigating through the vast seas of data to conjure insights, answers, and strategies that were previously obscured by the daunting complexity of raw data. In this realm, empowered by the AI Data Analyst, you are invited to explore the depths of data with the confidence that comes from having a powerful, intelligent ally by your side, ready to illuminate the path to clarity and understanding.

Demonstrating AI’s Prowess

A standout demonstration utilizing the sales and customer data from the Kevin Cookie Company serves as a vivid illustration of this AI’s extraordinary capabilities, setting a high benchmark for what advanced analytics can achieve. This demonstration vividly illustrates how the AI adeptly sifts through the intricacies of Excel sheets, effortlessly performing tasks that range from identifying the exact number of unique customers to isolating the highest volume purchasers within the dataset. Its ability to traverse the complex landscape of data with such ease and precision is nothing short of impressive, providing valuable insights that could potentially remain hidden or be incredibly challenging to unearth for even the most experienced data analysts. Through this demonstration, the AI showcases not only its proficiency in handling complex data analysis tasks but also its capacity to illuminate patterns and trends within the data that could significantly impact business strategies and decisions.

Beyond Numbers: Visual Data Representation

The expertise of the AI Data Analyst extends far beyond the realms of mere numerical analysis. It demonstrates exceptional skill in the creation of visual data representations, exemplified by its ability to generate insightful profit bar charts that track financial performance across different periods. These visualizations transcend mere decorative purposes, embodying a functional artistry that enhances data interpretation. They are inherently customizable, providing users with the flexibility to modify aspects ranging from the format to the color schemes. This level of adaptability ensures that the visuals can be finely tuned to meet specific analytical needs or preferences, thereby enhancing clarity and facilitating a deeper understanding of the underlying data. Through this nuanced approach to data visualization, the AI Data Analyst empowers users to engage with their data in a more intuitive and impactful manner, making complex information accessible and understandable at a glance.

Gleaning Insights with Ease

The analytical capabilities of artificial intelligence extend far beyond mere data manipulation. It embarks on a comprehensive exploration, meticulously analyzing the data to uncover underlying trends and offering detailed explanations for observed patterns. For instance, it can illuminate the reasons behind stagnant profit growth or elucidate the factors driving seasonal sales fluctuations. By doing so, the AI provides users with a deeper level of understanding and insight into their data. This, in turn, equips users with the ability to make informed decisions, grounded in robust and concrete data analysis. Through this process, the AI transforms raw data into actionable intelligence, enabling users to strategize and optimize their operations effectively.

Simplifying the Complex

One of the most compelling aspects of this AI feature is its ability to demystify the complexities of data analysis. The emphasis on ease of use is a testament to the tool’s design philosophy, where the barrier to entry is not the user’s technical skill but rather their ability to inquire and interpret.

The Transformative Potential of AI in Data Analysis

Embracing AI for data analysis in Excel does more than just simplify technical processes; it opens up a world of possibilities for users across various levels of expertise. By making complex analyses more accessible, ChatGPT’s AI Data Analyst feature is not just a tool but a partner in unlocking the true potential of your data.

As you navigate the intricacies of Excel data with the aid of AI, remember that the journey is as much about discovery as it is about analysis. With ChatGPT’s AI Data Analyst, you’re equipped not just to answer the questions you have but to uncover the questions you hadn’t thought to ask.

Source Kevin Stratvert

Image Credit: Scott Graham

Filed Under: Guides





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