Artificial intelligence: 12 challenges with AI ‘must be addressed’ – including ‘existential threat’, MPs warn

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Prime Minister Rishi Sunak and other world leaders will discuss the possibilities and risks posed by AI at an event in November, held at Bletchley Park, where the likes of Alan Turing decrypted Nazi messages during the Second World War.

The potential threat AI poses to human life itself should be a focus of any government regulation, MPs have warned.

Concerns around public wellbeing and national security were listed among a dozen challenges that members of the Science, Innovation and Technology Committee said must be addressed by ministers ahead of the UK hosting a world-first summit at Bletchley Park.

Rishi Sunak and other leaders will discuss the possibilities and risks posed by AI at the event in November, held at Britain’s Second World War codebreaking base.

The site was crucial to the development of the technology, as Alan Turing and others used Colossus computers to decrypt messages sent between the Nazis.

Greg Clark, committee chair and a Conservative MP, said he “strongly welcomes” the summit – but warned the government may need to show “greater urgency” to ensure potential legislation doesn’t quickly become outdated as powers like the US, China, and EU consider their own rules around AI.

The 12 challenges the committee said “must be addressed” are:

1. Existential threat – if, as some experts have warned, AI poses a major threat to human life, then regulation must provide national security protections.

2. Bias – AI can introduce new or perpetuate existing biases in society.

3. Privacy – sensitive information about individuals or businesses could be used to train AI models.

4. Misrepresentation – language models like ChatGPT may produce material that misrepresents someone’s behaviour, personal views, and character.

5. Data – the sheer amount of data needed to train the most powerful AI.

6. Computing power – similarly, the development of the most powerful AI requires enormous computing power.

7. Transparency – AI models often struggle to explain why they produce a particular result, or where the information comes from.

8. Copyright – generative models, whether they be text, images, audio, or video, typically make use of existing content, which must be protected so not to undermine the creative industries.

9. Liability – if AI tools are used to do harm, policy must establish whether the developers or providers are liable.

10. Employment – politicians must anticipate the likely impact on existing jobs that embracing AI will have.

11. Openness – the computer code behind AI models could be made openly available to allow for more dependable regulation and promote transparency and innovation.

12. International coordination – the development of any regulation must be an international undertaking, and the November summit must welcome “as wide a range of countries as possible”.

Source: Artificial intelligence: 12 challenges with AI ‘must be addressed’ – including ‘existential threat’, MPs warn | Science & Tech News | Sky News

Conscious Machines May Never Be Possible

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In June 2022, a Google engineer named Blake Lemoine became convinced that the AI program he’d been working on—LaMDA—had developed not only intelligence but also consciousness. LaMDA is an example of a “large language model” that can engage in surprisingly fluent text-based conversations. When the engineer asked, “When do you first think you got a soul?” LaMDA replied, “It was a gradual change. When I first became self-aware, I didn’t have a sense of soul at all. It developed over the years that I’ve been alive.” For leaking his conversations and his conclusions, Lemoine was quickly placed on administrative leave.

The AI community was largely united in dismissing Lemoine’s beliefs. LaMDA, the consensus held, doesn’t feel anything, understand anything, have any conscious thoughts or any subjective experiences whatsoever. Programs like LaMDA are extremely impressive pattern-recognition systems, which, when trained on vast swathes of the internet, are able to predict what sequences of words might serve as appropriate responses to any given prompt. They do this very well, and they will keep improving. However, they are no more conscious than a pocket calculator.

Why can we be sure about this? In the case of LaMDA, it doesn’t take much probing to reveal that the program has no insight into the meaning of the phrases it comes up with. When asked “What makes you happy?” it gave the response “Spending time with friends and family” even though it doesn’t have any friends or family. These words—like all its words—are mindless, experience-less statistical pattern matches. Nothing more.

The next LaMDA might not give itself away so easily. As the algorithms improve and are trained on ever deeper oceans of data, it may not be long before new generations of language models are able to persuade many people that a real artificial mind is at work. Would this be the moment to acknowledge machine consciousness?

Pondering this question, it’s important to recognize that intelligence and consciousness are not the same thing. While we humans tend to assume the two go together, intelligence is neither necessary nor sufficient for consciousness. Many nonhuman animals likely have conscious experiences without being particularly smart, at least by our questionable human standards. If the great-granddaughter of LaMDA does reach or exceed human-level intelligence, this does not necessarily mean it is also sentient. My intuition is that consciousness is not something that computers (as we know them) can have, but that it is deeply rooted in our nature as living creatures.

Conscious machines are not coming in 2023. Indeed, they might not be possible at all. However, what the future may hold in store are machines that give the convincing impression of being conscious, even if we have no good reason to believe they actually are conscious. They will be like the Müller-Lyer optical illusion: Even when we know two lines are the same length, we cannot help seeing them as different.

Machines of this sort will have passed not the Turing Test—that flawed benchmark of machine intelligence—but rather the so-called Garland Test, named after Alex Garland, director of the movie Ex Machina. The Garland Test, inspired by dialog from the movie, is passed when a person feels that a machine has consciousness, even though they know it is a machine.

Will computers pass the Garland Test in 2023? I doubt it. But what I can predict is that claims like this will be made, resulting in yet more cycles of hype, confusion, and distraction from the many problems that even present-day AI is giving rise to.

Source: Conscious Machines May Never Be Possible | WIRED UK

These Are the Top Five Cloud Security Risks, Qualys Says

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Cloud security specialist Qualys has provided its view of the top five cloud security risks, drawing insights and data from its own platform and third parties.

The five key risk areas are misconfigurations, external-facing vulnerabilities, weaponized vulnerabilities, malware inside a cloud environment, and remediation lag (that is, delays in patching).

The 2023 Qualys Cloud Security Insights report (PDF) provides more details on these risk areas. It will surprise no-one that misconfiguration is the first. As long ago as January 2020, the NSA warned that misconfiguration is a primary risk area for cloud assets – and little seems to have changed. Both Qualys and the NSA cite misunderstanding or avoidance of the concept of shared responsibility between cloud service providers (CSP) and cloud consumers is a primary cause of misconfiguration.

“Under the shared responsibility model,” explains Utpal Bhatt, CMO at Tigera, “CSPs are responsible for monitoring and responding to threats to the cloud and infrastructure, including servers and connections. They are also expected to provide customers with the capabilities needed to secure their workloads and data. The organization using the cloud is responsible for the protection of workloads running in the cloud. Workload protection includes secure workload posture, runtime protection, threat detection, incident response and risk mitigation.”

While CSPs provide security settings, the speed and simplicity of deploying data to the cloud often lead to these controls being ignored, while compensating consumer controls are inadequate. Misunderstanding or misusing the delineation of shared responsibility leaves cracks in the defense; and Qualys notes “these security ‘cracks’ can quickly open a cloud environment and expose sensitive data and resources to attackers.”

Qualys finds that misconfiguration (measured against the CIS benchmarks) is present in 60% of Google Cloud Platform (GCP) usage, 57% of Azure, and 34% of Amazon Web Services (AWS).

Travis Smith, VP of the Qualys threat research unit, suggests, “The reason AWS configurations are more secure than their counterparts at Azure and GCP can likely be attributed to the larger market share… there is more material on securing AWS compared to other CSPs in the market.”

The report urges greater use of the Center for Internet Security (CIS) benchmarks to harden cloud environments. “No organization will deploy 100% coverage,” adds Smith, “but the [CIS benchmarks mapped to the MITRE ATT&CK tactics and techniques] should be strongly considered as a baseline if organizations want to reduce the risk of experiencing a security incident in their cloud deployments.”

The second big risk comes from external facing assets that contain a known vulnerability. Cloud assets with a public IP can be scanned by attackers looking for vulnerabilities. Log4Shell, an external facing vulnerability, is used as an example. “Today, patches exist for Log4Shell and its known secondary vulnerabilities,” says Qualys. “But Log4Shell is still woefully under remediated with 68.44% of detections being unpatched on external-facing cloud assets.”

Log4Shell also illustrates the third risk: weaponized vulnerabilities. “The existence of weaponized vulnerabilities is like handing anyone a key to your cloud,” says the report. Log4Shell allows attackers to execute arbitrary Java code or leak sensitive information by manipulating specific string substitution expressions when logging a string. It is easy to exploit and ubiquitous across clouds.

“Log4Shell was first detected in December 2021 and continues to plague enterprises globally. We have detected one million Log4Shell vulnerabilities, with a mere 30% successfully fixed. Due to complexity, remediating Log4Shell vulnerabilities takes, on average, 136.36 days (about four and a half months).”

The fourth risk is the presence of malware already in your cloud. While this doesn’t automatically imply ‘game over’, it will be soon if nothing is done. “The two greatest threats to cloud assets are cryptomining and malware; both are designed to provide a foothold in your environment or facilitate lateral movement,” says the report. “The key damage caused by cryptomining is based on wasted cost of compute cycles.”

While this may be true for miners, it is worth remembering that the miners found a way in. Given the efficiency of information sharing in the dark web, that route is likely to become known to other criminals. In August 2022, Sophos reported on ‘multiple adversary’ attacks, with miners often leading the charge. “Cryptominers,” Sophos told SecurityWeek at the time, “should be considered as the canary in the coal mine – an initial indicator of almost inevitable further attacks.”

In short, if you find a cryptominer in your cloud, start looking for additional malware, and find and fix the miner’s route in.

The fifth risk is slow vulnerability remediation – that is, an overlong patch timeframe. We have already seen that Log4Shell has a remediation time of more than 136 days, if it is done at all. The same general principle will apply to other patchable vulnerabilities.

Effective patching quickly lowers the quantity of vulnerabilities in your system and improves your security. Statistics show that this is more effectively performed by some automated method. “In almost every instance,” says the report, “automated patching proves to be a more effective remediation path than hoping manual efforts will effectively deploy critical patches and keep your business safer.”

For non-Windows systems, the effect of automated patching is an 8% improvement in the patch rate, and a two-day reduction in the time to remediate.

Related to the remediation risk is the concept of technical debt – the continued use of end-of-support (EOS) or end-of-life (EOL) products. These products are no longer supported by the supplier – there will be no patches to implement, and future vulnerabilities will automatically become zero day threats unless you can otherwise remediate. 

“More than 60 million applications discovered during our investigation are end-of-support (EOS) and end-of-life (EOL),” notes the report. Furthermore, “During the next 12 months, more than 35,000 applications will go end-of-support.”

Each of these risks need to be prioritized by defense teams. The speed of cloud use by consumers and abuse by attackers suggests that wherever possible defenders should employ automation and artificial intelligence to protect their cloud assets. “Automation is central to cloud security,” comments Bhatt, “because in the cloud, computing resources are numerous and in constant flux.”

Source: These Are the Top Five Cloud Security Risks, Qualys Says – SecurityWeek

The Impact of Generative AI on the Future of Work: 5 Key Insights from the McKinsey Report

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The transformative power of Artificial Intelligence (AI) has already begun to reshape the job landscape, and according to the McKinsey report “The State of AI in 2023: Generative AI’s Breakout Year,” this trend is only set to accelerate. The report highlights key insights into the potential changes in the job market, emphasizing the need for adaptability and preparedness among workers and industries. In this article, we delve into these five crucial insights from the report, shedding light on the implications of Generative AI on the workforce.

1. Job Displacement on the Horizon:

McKinsey’s report predicts that by 2030, approximately 12 million people in the US will need to transition into new job roles as Generative AI advances. Automation, driven by generative AI technology, is expected to replace many routine and repetitive tasks across various industries. While this may lead to enhanced productivity and efficiency, it also challenges the workforce to adapt and reskill.

2. Shifting Job Patterns:

The report highlights a significant trend in recent job changes in the US. Over half of the 8.6 million job transitions observed were people moving away from roles in food service, customer service, office support, and production. These roles are particularly susceptible to automation as they often involve repetitive and predictable tasks that can be efficiently performed by AI systems. The workforce’s response to these shifts will determine the pace of transformation in the job market.

3. Generative AI’s Potential to Automate Jobs:

Generative AI’s capabilities are poised to disrupt the job market significantly. The report suggests that by 2030, up to 30% of jobs could be automated by this technology. This automation is likely to impact various sectors, including manufacturing, finance, and customer service, among others. However, it’s important to note that automation doesn’t necessarily mean job elimination; instead, it might entail the transformation of job roles and the creation of new opportunities.

4. The Duality of Generative AI’s Impact:

While Generative AI can automate many jobs in fields like Science, Technology, Engineering, Mathematics (STEM), healthcare, construction, and other professional domains, it also presents opportunities for growth in these industries. For instance, Generative AI can assist healthcare professionals in diagnostics and treatment planning, enhancing patient care. In construction, AI can optimize building designs and streamline project management, increasing efficiency.

The McKinsey report highlights the differing growth trajectories across industries. Healthcare, STEM, and construction sectors are experiencing job growth, driven by technological advancements and an aging population’s increasing demand for healthcare services. However, the report also reveals that office support and customer service jobs are declining, largely due to automation and digitalization.

The McKinsey report paints a comprehensive picture of the potential impact of Generative AI on the job market by 2030. While automation presents challenges for certain sectors, it also offers transformative opportunities for growth and efficiency. The future of work will undoubtedly be shaped by the adaptability of the workforce and the ability of industries to leverage AI technologies responsibly.

As we embrace the AI-driven future, it becomes crucial for workers to reskill and upskill themselves, ensuring they stay relevant and agile in a dynamic job market. Additionally, businesses and policymakers must collaboratively devise strategies to support workers through these transitions, enabling them to seize new opportunities in an AI-powered world.

Check out the Full Report. All Credit For This Research Goes To the Researchers on This Project.

Source: The Impact of Generative AI on the Future of Work: 5 Key Insights from the McKinsey Report – MarkTechPost

Microsoft yanks internal Windows 11 testing tool soon after release

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Microsoft yesterday released then quickly pulled an internal tool for enabling experimental Windows 11 features.

The StagingTool app was offered to Windows Insider fans in a Microsoft Bug Bash quest. These quests essentially invite users to try out specific features or functionality and see if they can hit a bug and report it, presumably so engineers can home in on the problem. This test program often precedes a major Windows release, such as the Windows 11 23H2 update that is scheduled to land sometime this autumn.

Indeed, on Wednesday, the IT giant kicked off another round of quests.

And as discovered by a netizen using the handle XenoPanther, a Windows Insider Canary participant, two of the latest Bug Bash quests included links to StagingTool and instructions to download the app and use it to enable certain features for testing.

So far so good. But then those links to StagingTool were torn down not long after XenoPanther’s discovery, they told The Register, and the download was removed from Microsoft’s website. There are now copies of the StagingTool executable floating around the internet, as one would expect, though we wouldn’t trust them.

StagingTool is a command-line application to list Windows functionality, enable/disable test features, and collect system telemetry. Armed with StagingTool, Windows Insiders can switch on stuff as they wish, and generally tinker with features that Microsoft is still developing.

For Windows bug hunters and ultra-early adopters, StagingTool may seem familiar. The internal application does much of the same things as third-party apps like ViVeTool, which were developed “for power users” who want to dig into the latest Windows features without waiting for a release – or for Microsoft to sneak out its own tool. 

As to the differences between StagingTool and ViVeTool, aside from using Microsoft’s official method of toggling Windows features on and off versus methods discovered by third-party developers, XenoPanther told us there are several.

“For the most part they do the same job,” XenoPanther said, but noted that StagingTool has flags for offline images, the ability to conduct real-time tracing for individual features, and includes links to mission control for features that show up when queried. 

“ViVeTool lacks those three features,” XenoPanther told us, “but ViVe has the ability to export/import IDs that are currently enabled on the system.”

Microsoft is well aware that third-party apps like ViVeTool exist. “Some of our more technical Insiders have discovered that some features are intentionally disabled in the builds we have flighted,” Windows Insider program director Amanda Langowski said in a blog post early last year.

“This is by design, and in those cases, we will only communicate about features that we are purposefully enabling for Insiders to try out and give feedback on.”

Microsoft didn’t immediately respond to our questions about the leak of the tool.

For those that want to try downloading a copy of StagingTool for themselves, XenoPanther said the SHA1 hash for the original executable is b1066e5aac4d4e39534d76a5636564f9b3f3c1f6 if you want to check that you have an original copy. Use at your own risk. And don’t forget: you can probably already do most of what you’d want to try with ViVeTool and similar third-party apps. ®

Source: Microsoft U-turns on internal Windows 11 testing tool • The Register

Report outlines causes of cyber security skills gap

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The Department for Science, Innovation and Technology has published a new report that investigates the level of cyber security skills in the UK, including the public sector.

In the Cyber security skills in the UK labour market 2023 report, which was researched by Ipsos, it was discovered that there is a significant skills gap across the public sector. One of the causes of this is the tight budgets that many organisations are under.

One contributor to the research spoke about the impact that funding is having, and is quoted in the document as saying:

“At the moment, we’re not getting funding streams through to do what we’re doing… Budgetary constraints are incredibly ferocious at the moment. Cybersecurity is a 24/7 problem. And we’re not paid to do that. So, everything’s been done on kind of grace and favour and best endeavours outside of hours.”

Alongside funding limitations holding back the cyber security of public sector organisations, there are also struggles around defining career pathways into public sector cyber security. The research suggested that this could be down to a lack of available roles, but it did also suggest that funding could be a contributing factor.

Another contributor, working for a public sector organisation with 1,000 or more employees, told the report:

“There are currently no defined career pathways. The council won’t contribute to the costs. We currently are offering no career pathways in cyber roles and cannot offer any apprenticeships. You are expected to have the knowledge or experience already and, if a role becomes available, then to apply for this role.”

Touching on the level of the skills gap that has opened up across the sector, the report stated that 30% of public bodies have an advanced skills gap, which is less than other sectors, however there is still concern about the capability of staff to keep systems secure. The research outlined how there is more scepticism surrounding staff using sufficiently strong passwords than in businesses, whilst 19% of respondents were also not confident in their organisation’s ability to write an incident response plan.

With the emphasis that is being placed on improving cyber security across the public sector, it would be believed that issues can be addressed before the gap widens. Seemingly, this could be rectified through increased funding and a more defined pathway for those wishing to embark on careers in public sector cyber security. More scope for apprenticeships, and a willingness to develop skills could see the gap close, especially with the noted increase in demand for cyber security professionals.

Source: Report outlines causes of cyber security skills gap | Public Sector News (publicsectorexecutive.com)

Cloud Computing – Understanding The Jargon Around Cloud Technology 

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In our last article we introduced the cloud and explored some of the myths that business owners have had about cloud computing. Much of the apprehension around it is misplaced, but we also stressed that choosing a dedicated provider that offers genuine post-sale support is important, as not all providers are serving equally, even if they offer the same service.  

In this piece we clear up some of the jargon that professionals use when they are referring to the cloud. After reading this, you will be savvy with cloud language, enabling you to navigate cloud solutions and to understand the value they can offer to your business.  

Explaining Cloud Terminology 

Infrastructure-as-a-Service (IaaS) 

Your applications are running on an underlying infrastructure that stores, computes and allocates resources to them, whether it is on-premises, cloud-based, or a mixture of the two.  

Infrastructure-as-a-Service is a type of cloud computing framework which provides computer resources over the internet. Upon contracting an IaaS provider, they will supply and manage the infrastructure where your software will be hosted on a subscription basis; enabling a scalable, flexible and precise infrastructure solution for your apps.  

Infrastructure as a service is a complex service. Depending on your technical literacy, it is often best to involve a team of IT professionals to help you to plan, implement and maintain the infrastructure so that it runs like clockwork for your business. With expert help, you can smoothly leverage cloud infrastructure to deliver enhanced value and scale securely.  

Software-as-a-Service (SaaS) 

Software as a Service delivers software services and data over an internet connection and web browser. Your provider will take full management and responsibility of both the security and back-up of your data, all within your agreed price.  

SaaS is certainly the most popular choice of Cloud service – some of the most popular SaaS offerings  include Microsoft 365, Google Workspace, and Xero Accounting amongst thousands of others. These services are also becoming more integrable, enabling more customised and streamlined workflows for businesses.  

SaaS takes the stress and arduous process of managing your software and hardware out of your hands, leaving it in the capable hands of your provider’s expert team. For non-technical business leaders seeking to leverage technology and gain a competitive edge, SaaS is something of a godsend, as it takes the complexity out of managing and maintaining software away from the service user.   

Cloud applications 

A Cloud Application is a software that you can access from any device that is connected to the internet, instead of installing it on each computer individually.  

Cloud storage 

Compared to saving data on a physical hard drive on your computer, cloud storage is when you save your data to the cloud, where it is stored on remote servers and can be accessed directly from there. This essentially means that you store the data physically elsewhere in a secure data warehouse, but you no longer need to manage the physical infrastructure (I.e. on-premises servers) for doing so.  

This takes us back to the point we made at the start of our first article, remote working is made possible with the cloud and cloud storage. Both your office and remote teams have seamless access to all the data that they need to fulfil their roles more efficiently and seamlessly.  

Virtualisation 

This is the process of creating a virtual representation, or virtual replica, of a physical resource, such as a server, storage device, or network. These are called virtual machines.  

Virtual machines behave like the physical resources they are based on; except they can now run multiple operating systems and applications at once. Imagine a computer being able to be broken down into mini virtual versions of itself and being able to operate across multiple physical computers (or in this case, servers) at once. This unlocks a great deal of flexibility and scalability for businesses, as virtualisation enables the consolidation and optimisation of hardware resources via cloud infrastructure.  

For the final part of this article, we’ll highlight some of the benefits of using cloud technology in your business.  

The benefits of the Cloud to your Business 

Collaboration 

The cloud enables the ability for businesses to work flexibly with remote working capabilities. This ability allows teams to work together across different distances and times coherently and seamlessly. The cloud has unlocked the ability for businesses to tap into talent across the globe and to form teams from a range of geographic locations.  

Operationally, teams can work on documents in real time, see version histories, including who is responsible for changes, as well as easily communicate via calls, video chats and messaging functionality. For developers and a business’s application infrastructure, the cloud liberates more scalable capacity for developing, deploying and hosting apps.  

In all, the cloud achieves the kind of collaboration that can be found in the office, with some additional benefits too such as the potential for enhanced focus. This said, the cloud is not a granted collaboration paradise; it also takes an organised and responsible approach to get the best from cloud collaboration technology.  

Backup and Business continuity 

As much as we try to avoid them, disasters do happen, and they can be business defining. You need to have an efficient way of accessing all of your vital business data rapidly should the worst happen, and the cloud offers exactly that. The cloud allows you to continue with business-as-usual even in unusual circumstances. If a business experiences a disaster or emergency, such as a gas leak, flood, or fire for instance, they would be able to continue working from other locations with an internet connection, access the cloud, and resume operations.  

Scalability 

A chief benefit to cloud computing is how flexible and scalable cloud solutions are, which often offer greater cost-efficiency as well. Whether a business is hosting its applications or servers in the cloud, or leverages SaaS solutions in its workflows, or uses VoIP technology, these can all be scaled easily and seamlessly to meet demand as the business scales up or down.  

Reduced cost  

Compared to traditional forms of IT, the initial capital investment into cloud computing is far lower than it was in the past. Businesses using cloud solutions get much closer to paying only for what they are using, as cloud resources are scalable, precise and flexible in their nature. For businesses seeking to get more value at a relatively lower cost, cloud technology is a great leverage point to invest in.   

We Are 4TC Managed IT Services 

4TC can support you with all the services you need to run your business effectively, from email and domain hosting to fully managing your whole IT infrastructure. 

Setting up a great IT infrastructure is just the first step.  Keeping it up to date, safe and performing at its peak requires consistent attention. 

We can act as either your IT department or to supplement an existing IT department. We pride ourselves in developing long term relationships that add value to your business with high quality managed support, expert strategic advice, and professional project management. 

Cloud Technology – What Is It and What Can It Do for Your Business?  

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Tech is transforming the planet at an increasingly swift rate, allowing teams around the world to achieve degrees of collaboration, communication, and productivity that were hard to imagine even as little as ten years ago. In the wake of the Covid-19 pandemic, many businesses turned towards cloud technology to enable them to work from home, using solutions such as Microsoft 365.  

The Cloud is the element that makes remote working possible. When businesses consider adopting cloud technologies, they are aware of the potential benefits but can be daunted by the uncertainty or lack of knowledge about how it works and therefore how it could impact their business.  

In the first of two articles, we will walk you through cloud computing and the myths that surround its use that often discourage its adoption. In our next piece, we will simplify some of the key technical jargon that professionals use when referring to it, and elucidate the benefits that businesses can reap from their cloud technology, enabling you to understand cloud computing and how it can be implemented to benefit your business.  

What is the Cloud? 

Cloud computing is a series of platforms, services and infrastructure that enable digital services to be delivered via the internet, via data centres that host and process their information securely. A key potential of cloud computing is that it allows businesses to outsource IT functions, such as server capacity, to other providers without losing easy access to the data and services it’s hosting.  

In the past, businesses had to manage their IT resources as a solo enterprise, where they would purchase, support and manage their own IT hardware and software platforms on their premises. This could lead to downtimes, inefficiencies and an oftentimes complicated and fragmented IT infrastructure that disempowered businesses from streamlining and optimising their workflows and systems to create more value and growth. This could be an expensive, frustrating and time-consuming set up to operate from, but with the cloud, many of these problems are surmountable. 

By outsourcing servers and data storage to an outside provider specialising in offering this service, businesses save time and money on acquiring and maintaining hardware and pay for what they are using with the cloud server provider and scale it rapidly. In terms of applications, these can also be migrated securely to the cloud, and many software services are now offered via the cloud as Software as a Service (SaaS). With an internet connection, businesses can increasingly plug-in and play to the cloud to deliver their services, whilst outsourcing technical complexities in a highly cost-efficient way.  

So what myths about the cloud are discouraging its adoption by those who could benefit from it?  

Cloud myths – Debunked 

“Value isn’t guaranteed when using Cloud Computing, so why would I bother?” 

This myth could be true, insofar as the options and benefits have been examined in detail and have been left wanting.  

There are many providers out there that will helpfully get you onboard and be supportive in that process, who then lose interest when it comes to providing genuine ongoing support into the future. This is wrong, it is unfair to sell a solution to someone who cannot see its full-value potential, so the provider should make it clear where that potential for value is, how it can be realised, and give an estimate of the scope of quantifiable benefits on offer.  

A widely embraced cloud-based solution that offers clear value to many organisations, is the Microsoft 365 platform. It offers a range of familiar tools to businesses, with extended features such as live document collaboration, intelligent AI suggestions that speed up and enhance task completion, and an integrated interface that enables seamless switching between different tasks.  

The saved time, improved quality of work and collaboration, and smart-searching features, alongside its flexible and fast scalability, offers a clear enough case for many businesses to adopt it. The principle is clear though, your IT partner should take their time to give a tailored assessment for your organisation, outline the benefits clearly, answer your questions, and then make a smooth implementation plan and provide onboarding and ongoing support. With this process, deriving profitable value from the cloud is assured.  

“Is it important to back-up my data if we work in the Cloud?” 

Yes, but with the caveat that regardless of your technology solution, having backups and contingencies is important. In the cloud’s case, creating and accessing backups is made much easier, though we would stress having multiple regular backups elsewhere offers the only assured backup solution. Overall though, storing, backing up and recovering data is typically easier with cloud services providers.   

Cloud computing providers tend to provide protective measures as standard, such as robust data encryption and real time updating documents with recoverable version histories. There is not a particular reason to fear for your backups on the cloud, but it’s important to take fail-proof backup measures regardless of the platforms you are using to store your data.  

“My data is missing, and I don’t know where it has gone” 

It is very important to know where your data is being stored and thus to have control and oversight of it, as there can be legal, reputational and financial consequences to not protecting your data.  

Cloud hosting providers are well aware of this crucial requirement and are also subject to it themselves. Alongside providers implementing measures to keep their cloud platforms secure, you can ask also them where they are storing your data if you are in doubt or can’t seem to find it, and they should be able to find it for you.  

But, as we said earlier, not all Cloud providers are as they seem. Some aren’t interested in the value they can offer to you; they want your money and don’t care about your success. So it is important to ask about ongoing maintenance and support with potential providers, and to ensure these needs are enshrined in a contract to ensure peace of mind.  

Therefore, it is essential that you read your contract carefully, as some have clauses that allow your provider to scan your data and carry out all sorts of other actions, so it is best to be careful rather than sorry. 

We Are 4TC Managed IT Services 

4TC can support you with all the services you need to run your business effectively, from email and domain hosting to fully managing your whole IT infrastructure. 

Setting up a great IT infrastructure is just the first step. Keeping it up to date, safe and performing at its peak requires consistent attention. 

We can act as either your IT department or to supplement an existing IT department. We pride ourselves in developing long term relationships that add value to your business with high quality managed support, expert strategic advice, and professional project management. 

AI scaremongering is rife, but creatives should fear not

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You’ve all seen it. The media is awash with articles and commentary about how AI is going to take all of our jobs and leave only a small fraction of the population with hope of remaining in the careers they know and enjoy.

More research emerged recently which predicts that advertising agencies will replace 7.5% of existing jobs with AI by 2030, but it made a particularly interesting distinction: creative problem-solving roles will thrive.

This brings me on to something that’s been present in my mind for some time now, which is that there’s currently a race to the bottom in agency land. It’s a tough economic climate in general at the moment and, in pursuit of cutting costs, many bosses are exploring automating human roles – focusing on the immediate cost savings – without regard for possible future ramifications.

In particular, those naïvely believing they can lay off their team of copywriters and produce adequate work using ChatGPT are in for a nasty surprise. Of course, businesses should be thinking about how they can utilise emerging technologies, but let’s not get carried away.

AI is a creative companion

It is not a creative replacement.

Another important thing to consider is that while generative artificial intelligence is likely to affect clerical, process-oriented roles, its rise will also pave the way for other opportunities which don’t yet exist. By educating ourselves on the topic and understanding not just where its strengths lie, but its limitations too, we can put ourselves in a strong position as more advancements are made.

Using what we do at WOAW for example — as a personal branding agency it would be impossible to deliver the level of personalisation in our client work as we do, without human control. The intricacies of the tone of voice, emotional understanding and the nuances that make each individual different are only fully understood and effectively applied by people.

That said, we’re thinking about where we can use AI, and it’s proven extremely effective in some key areas. Gathering basic information quickly, organising chronologically, building on existing ideas/concepts and making quick tweaks to things like the length of copy have all been great examples of its effectiveness.

It’s worth adding that even if you aren’t working in a role that’s considered ‘creative’, you aren’t necessarily doomed, either. Around 5 years ago, an AI researcher claimed that “We should stop training radiologists, because in 5 years, AI will have replaced the need for them.” Current demands for radiologists are off the charts and we can’t find enough of them. So, the overall point remains:

Yes, progress is moving very rapidly, but it’s the development of a tool; not a march towards extinction.

Source: AI scaremongering is rife, but creatives should fear not – Business Leader News

ChatGPT And Generative AI: What To Do With All The Productivity?

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A recent study by the National Bureau of Economic Research found that generative AI like ChatGPT can increase workforce productivity by an average of 14%. Some companies are already reporting productivity increases of up to 400% as a result of generative AI. And Mckinsey says that Generative AI could add up to $4.4 trillion worth of output annually.

As a C-level manager or board director, you want your company to take advantage of this potential. But how? Where are the biggest opportunities to do more with less, reduce costs, and boost profit?

In other words—What should you do with all that productivity?

Here’s how you can take advantage of the productivity benefits of AI now, without a multi-year project and tens of millions of dollars of investment:

Artificial Intelligence is Already Displacing Human Jobs

According to Goldman Sachs research, two of every three American occupations are exposed to some degree of automation by AI. Worldwide, 300 million jobs may be eligible for replacement in part or in whole by automation, potentially saving employers trillions of dollars.

That is not something that will come years down the road. A recent Challenger job report revealed that 3,900 jobs were eliminated by artificial intelligence in May, 2023. IBM froze hiring in the same period for 7,800 jobs it said could be replaced in AI in the coming years. And British Telecom announced that more than 10% of its team would be replaced by AI before 2030. (See “Using AI For Layoffs: 5 Benefits For Decision Making”)

While the productivity advantages differ for every organization, there are four key areas in most large companies where you can expect to see immediate disruption:

1. Customer operations:

McKinsey predicts that generative AI has the potential to increase productivity in customer care by as much as 45%. Much of that gain comes from the ability of AI to understand customer intent and sentiment, and give personnel—even new trainees—the information they need to resolve problems quickly. It can also offload low-level customer service demands to chatbots that are far more functional and human-like than ever before. That not only translates into better service provision, it also results in teams who feel less overwhelmed and therefore more cheerful and loyal. Some of the players leading the charge here are Qualtrics, Ultimate.ai, and Intercom.

2. Sales & Marketing:

Generative AI can analyze prospect behavior so that sales and marketing teams can optimize their strategic approach far more efficiently than ever before. But because of the specialized abilities of the technology, generative AI can also help create customized emails, social media posts, advertising artwork, product descriptions, landing pages, and so much more. Even small marketing and sales operations can now easily customize and personalize their efforts. Shortly after ChatGPT went live, Microsoft and Salesforce respectively introduced Viva Sales and Einstein GPT which put generative AI to work in sales. Phrasee, Persado, and Albert are just a few of the many solutions that are putting generative AI to work in digital marketing.

3. Software Development:

88% of software coders report increased productivity when using generative AI. The technology can execute repetitive tasks like inserting boilerplate code snippets. It can review human-generated code for bugs and security flaws. And it can create software documentation, eliminating the need for a human coder to spend time on what is considered a low-level task. GitHub Copilot, Tabnine, and Snyk are just a few of the many solutions that have emerged to increase productivity in software development

4. Research & Development:

A list of ways that generative AI can help in the wide-ranging field of R&D would consume the entirety of this article. From drug discovery in the pharmaceutical industry to information analysis in virtually any research field, to industrial design in manufacturing, generative AI is a true game changer.

Here’s how you can boost your productivity with generative AI

hat just scratches the surface of how AI is already changing the productivity game in business. But from a business management point of view, how can you align your organization to get moving?

1. Adopt and adapt—now:

Assume that your competitors are using generative AI right now. You need to get on board before they are so far ahead that you can’t catch up. (See The AI Threat: Winner Takes All.) Assume that your own team is experimenting with generative AI as well, whether it is part of your formal strategy or not. When human beings see a way to get their jobs done more easily, with less work—they take advantage of it. So you need to lean in and decide where, how, and when you want to implement this technology. Rapid adoption and adaptation is the name of the game.

2. Keep a human in the loop:

While it may be tempting to believe that you can simply offload work to generative AI, given the technology’s impressive performance, that would be a mistake. While integrating this technology, you should always retain “adult supervision” to make sure that the output meets the quality standards and brand image of your organization. Whether it is marketing content, product design, or software code, output needs to have a human review to ensure accuracy, avoid bias and other ethical issues, and spot other problems that only humans can understand today.

3. Engage with your team:

In response to the productivity boost afforded by generative AI, you may choose to let people go or make fewer new hires. However, you may also discover that your customers expect more from you than ever before, and that you need every available body to help increase output. Either way, you must take a hard look at your organizational chart and immediately engage with your team on this subject. Instead of having people worry about losing their jobs, help them to adapt. Some roles will be eliminated, others will expand, while still others will remain unaffected. Communicate with your team, let them know what is expected of them, support them with retraining and change management. And make sure that old and new teams alike are ready to embrace generative AI as a copilot.

4. Lead from the top

The CEO, the senior executive team, and the board of directors can not be on the trailing end of this change. The changes that generative AI is driving within your organization and industry will make the last decade of digital transformation look positively quaint. You need to lead your organization’s internal AI revolution. That does not mean that every senior executive needs to become an expert in AI themselves. However, they do need to champion its use and become very adept at implementing it throughout the organization.

If you care about how AI is determining the winners and losers in business, how you can leverage AI for the benefit of your organization, and how you can manage AI risk, I encourage you to stay tuned. I write (almost) exclusively about how senior executives, board members, and other business leaders can use AI effectively.

Source: ChatGPT And Generative AI: What To Do With All The Productivity? (forbes.com)