Tag: ai

Artificial intelligence (AI) has brought much excitement for many, but it has also been a concern for some. Myths about AI persist and one of the most common is that AI in business will take away jobs from humans.

This AI myth is far from the truth. In reality, AI helps us in our day-to-day activities, making work easier and allowing us to focus on higher-value tasks. Find out in this article how AI can be your powerful ally in the workplace.  

How AI Tools Assist Us Today

In recent years, AI has made strides in helping people and businesses in many ways, and below are some examples.

Chatbots for Customer Service

Aside from providing instant responses to customer queries, AI-powered chatbots are also now used for processing orders, scheduling appointments, and guiding customers in basic troubleshooting.

Data Analysis Tools

Because of their ability to make sense of vast amounts of data, AI-powered data analysis tools make it easier to uncover patterns and insights.

Automation Software

AI-powered automation software streamlines repetitive tasks, such as scheduling, invoicing, and inventory management. This increases efficiency and reduces the likelihood of error in business processes.

If you’re curious to discover more AI opportunities for your business, check out our article 10 Key Opportunities & Implications Of AI for Your Business.  

How AI in Business Enhances Human Capabilities

The truth is that AI augments human capabilities, debunking the top AI myth. Here are some ways AI enhances the potential of employees:

Increased Efficiency

Because AI can handle repetitive and time-consuming tasks, employees can focus on more strategic and creative aspects of their work. Think of it as having a highly skilled assistant who takes care of your mundane tasks.

Improved Accuracy

AI systems can process large volumes of data with high accuracy. Researchers are even developing new techniques to improve accuracy in AI. In healthcare, for example, AI-powered diagnostic tools can analyse medical images and detect anomalies with great precision. They help doctors in providing earlier and more accurate diagnoses.

Enhanced Creativity

“Generative AI has the potential to democratise access to creative tools and empower people to express themselves in new and exciting ways,” noted Sam Altman of OpenAI.

In marketing, AI-driven tools help to analyse consumer behaviour and generate personalised content. This helps marketers craft more effective campaigns.

AI can also assist in creative fields like music and art by providing new perspectives and ideas.

Data-Driven Decision-Making

Imagine having seasoned super advisor who can sift through vast amounts of information and highlight the most critical points. That’s what AI can do to help you make better decisions, providing data-driven insights and recommendations.

For instance, AI-powered financial analysis tools can help analyse market trends and predict future performance. You would no longer need to go through voluminous reports and data. AI can help you quickly scan large datasets, gather insights, and track sources with unmatched precision and speed.  

Preparing for an AI-Powered Future

To fully harness the potential of AI, organisations need to prepare for an AI-powered future. Here are some key steps:

Upskilling and Reskilling

The demand for new skills is expected to rise as AI takes over routine tasks. A recent report by the World Economic Forum says 58% of employees believe their job skills will change significantly in the next five years due to AI and big data.

Businesses should now be investing in preparing a future-ready workforce. They must train them in working alongside AI tools and making decisions based on data.

“AI represents a never-before-seen opportunity for technology to benefit humankind in every way, and we have to act intentionally to make sure populations don’t get left behind,” according to Francine Katsoudas, founding member of the AI-Enabled ICT Workforce Consortium and Cisco’s Chief People, Policy & Purpose Officer.

Ethical Considerations

Implementing AI responsibly is crucial, so organisations must establish clear guidelines and ethical standards to ensure AI is used in ways that benefit everyone. Businesses must understand the ethical implications of AI, such as data privacy, bias, and transparency.

• Data privacy must be prioritised to protect user data and maintain trust.
• Biases must be addressed to prevent AI algorithms from inadvertently perpetuating prejudices.
• Transparency (such as in how AI makes decisions) can ensure fairness, helping build trust and accountability.

(For more information about responsible AI use, we suggest reading this article: A Deep Dive into Australia’s AI Ethics Principles.)

Data Governance

Data governance helps to ensure reliable AI outcomes, by using accurate, consistent, and secure AI systems. Implementing strong data governance practices can prevent issues (like data breaches and biases), enabling AI to work effectively alongside humans and enhancing collaboration and trust in AI-driven processes.

Our webinar on AI and Data Governance offers an excellent opportunity for leaders of small to medium-sized businesses to harness the power of AI while ensuring data privacy and governance. Watch Beyond the Buzz: Considerations for AI in Business now!  

Effective AI Empowers Humans to Excel

When implemented effectively, AI can greatly improve the way humans work and provide opportunities rather than take their jobs away. With the right preparation, businesses can ease the transition and fully benefit from embracing AI.

Kick-start your AI journey with our eBook Step into AI: Your Playbook for Secure and Compliant Integration. It covers everything you need to know, from the tools available nowadays and the AI-powered cyber security threats, to the AI ethics principles and a step-by-step implementation guide. Download now!

“Ethics [in AI] is not just about getting the right answer – it demands that we are answerable to others, that we explain ourselves to them, that we listen to their response. It demands that we continue to question if our ethical decisions are right.”

Paula Boddington, author of Towards a Code of Ethics for Artificial Intelligence

 

Artificial intelligence (AI) is fast transforming our world. It is infiltrating every aspect of our lives, from facial recognition software in airports to mental health chatbots.

As AI keeps growing, so are its opportunities and challenges. Two in three organisations believe AI can boost their productivity with The World Economic Forum projecting 97 million new jobs due to AI by 2025.

AI can streamline administrative processes in Healthcare, personalise learning experiences in Education, and analyse donor data for Nonprofits. It can assist in areas such as:

• Inventory management
• Customer chatbots
• 24/7 hotlines
• Meeting management
• Invoicing
• Talent recruitment
• Compliance monitoring
• Cyber security

Check out our article, 10 Key Opportunities & Implications of AI for Your Business, to explore more AI opportunities that could benefit your business.

With the widespread of AI use comes questions.

“Who’s responsible if AI goes wrong?” Most people (77%) think companies should be held accountable for misuse.

“Do people trust how AI is being utilised?” Only 35% of people globally trust how companies are using it.

This outlines the need for clear rules and ethical guidelines such as Australia’s AI Ethics Principles, essential to building trust.

The AI Ethics Principles: Your Guide to Responsible AI Use

The AI ethics framework outlines eight principles to guide the development, deployment, and use of AI. These are voluntary guidelines meant to inspire and enhance compliance with existing AI regulations and practices.

1. Human, Societal and Environmental Wellbeing

The key goal of AI systems should be creating positive outcomes for individuals, society, and the environment. It encourages the use of AI in addressing global concerns, to benefit all human beings, including future generations.

Also, as organisations benefit from AI, they must consider a broader picture. This includes positive and negative impacts throughout an AI system’s lifecycle, within and outside an organisation.

2. Human-Centred Values

AI tools and platforms must be designed to respect human rights, diversity, and individual autonomy. They should align with human values and serve humans, not the opposite.

AI use should never involve deception, unjustified surveillance, or anything that can threaten these values.

3. Fairness

AI should be inclusive and accessible to all, ensuring no individual is unfairly excluded or disadvantaged. This means actively preventing discrimination against any individual or group based on age, disability, race, gender, and such factors.

Bias can be avoided and fairness promoted by utilising diverse datasets that reflect the world’s population. Algorithmic fairness audits can also be conducted prior to AI system deployment, to analyse for signs of bias against specific demographics.

4. Privacy Protection & Security

AI systems must respect and protect individuals’ privacy rights, by ensuring proper data governance throughout their lifecycle. They should involve securing AI systems against vulnerabilities and attacks, or cyber security services to prevent sensitive data from being stolen or manipulated.

Also, organisations should only collect data that’s absolutely needed for AI to function; the less data you gather, the less privacy risk there is. Measures like data anonymisation can also be implemented, where personal details are removed.

5. Reliability & Safety

AI tools and platforms must consistently perform their intended functions accurately, without posing unreasonable risks. This includes using clean, accurate, and up-to-date data to train your AI systems.

It also means regular testing and ongoing monitoring. This allows you to catch and fix any issues promptly, ensuring the system remains reliable and secure throughout its lifecycle.

6. Transparency & Explainability

Transparency helps build trust and accountability, so AI decision-making processes should be clear and understandable. This ensures people can recognise when AI is significantly impacting them and understand the reasons behind AI decisions. Allow them a “peek under the hood,” with a simplified explanation.

Avoid technical jargon when explaining AI decisions. Use clear and concise language that the average person can understand. The goal is for them to grasp the general idea, not become an AI expert.

7. Contestability

This aims to ensure that individuals, communities, or groups significantly impacted by AI systems can access mechanisms to challenge the use or outcomes of these systems. This encourages providing efficient processes for redress, particularly for vulnerable persons or groups.

For example, if an AI system used for facial recognition at an airport wrongly identifies someone as a security risk, they can easily contest this decision and have it reviewed.

8. Accountability

Organisations and individuals involved in the AI lifecycle must be clearly identifiable and responsible for the outcomes of AI systems. Mechanisms should be in place to ensure that they can be held responsible for the impacts of AI, both positive and negative.

For instance, when an AI-powered software produces biased outcomes, the persons responsible for developing and deploying it must be identifiable and face potential consequences for it.

Ethical AI Through Effective Data Governance

Data is the lifeblood of AI. The quality, diversity, and security of data directly impact the fairness and effectiveness of AI systems. Therefore, your data privacy policies and implementation will hugely influence your use of AI.

Here’s how AI ethics and data governance intersect:

Data Collection, Storage, and Use

The AI ethics framework highlights the importance of collecting and using data ethically. This involves obtaining informed consent, minimising data collection, and ensuring data is used only for its intended purpose.

Data Security and Protection

Cyber security solutions are essential to safeguarding sensitive data. Breaches can expose personal information, which can lead to discrimination, unfair treatment, or even identity theft. Data governance frameworks should thus address security risks and ensure compliance with privacy regulations. We’ve written a really helpful resource to help SMBs meet Australia’s cyber security compliance standards, check it out.

Data Sharing and Collaboration

The principles encourage responsible data sharing while protecting privacy. Secure platforms can facilitate data collaboration, research, and innovation without compromising individual rights. These can incorporate privacy enhancing technologies like federated learning (training AI models collaboratively), which helps preserve data privacy.

Privacy By Design and Default

AI systems should be designed with privacy in mind from the start. This means minimising data collection and ensuring individuals have control over their own data. For example, a fitness tracker that only collects anonymised step data by default can have options for users to share additional metrics if they choose.

By adopting these principles, organisations can shape data governance policies that build trust with stakeholders and ensure responsible AI development.

AI Ethics: Paving a Sustainable Future

Australia’s AI Ethics Principles provide a clear roadmap for developing and deploying responsible and ethical AI. By integrating these principles into your governance framework, organisations in Brisbane, Townsville, and across Australia can unlock the full potential of AI while ensuring accountability, fairness, and transparency.

Do you want to delve deeper into the topic of AI and data governance? We’ve put together a comprehensive eBook that delves into the state of AI nowadays, a comparison between ChatGPT and Copilot as well as a bonus kickstarter guide with the steps to take for a successful AI deployment.

Get Your Free eBook

Australian businesses are starting to reap the benefits of artificial intelligence (AI).

• Every AI-related initiative resulted in an average incremental revenue of AUD $361,315.
• Eight in ten decision-makers are expecting to see revenue growth from their AI investments in 2023.
• The Commonwealth Scientific and Industrial Research Organisation describes the AI ecosystem as “rapidly transforming” and “where businesses are generating significant new revenue streams and efficiencies using AI technology.”

But what do those mean to you?

Implications of AI for Business

Forbes Advisor found majority of business owners believe AI will positively impact these:

1. Customer relationships
2. Productivity
3. Sales
4. Cost savings
5. Response times

“We’ve never seen a technology move as fast as AI has to impact society and technology. This is by far the fastest moving technology that we’ve ever tracked in terms of its impact and we’re just getting started,” echoed Paul Daugherty, Chief Technology & Innovation Officer at Accenture. With such acceleration, 75% of executives are apprehensive that they might go out of business within five years unless they scale AI in their business.

AI Opportunities for Your Business

We have seen much of generative AI apps like ChatGPT, but there is so much more to AI. Consider these other opportunities that could benefit your business.

1. Responsive Customer Interactions

Sales and marketing leaders feel that AI has been the biggest game-changer when it comes to improving customer experience. With automated chatbots, customers can now have a 24/7 responsive channel, plus it frees up your human resources for more complex tasks. In fact, 85% of customer service interactions are now responded to by chatbots.

2. Unbiased & Objective Decisions

AI can help analyse large amounts of data to provide insights, helping businesses make informed, data-driven decisions. Data centre services provider AirTrunk is looking to use AI in finding suitable locations for data centres.

3. Savvy Business Foresight

Predictive analytics helps business to see future trends and behaviours. This enables them to be proactive and stay ahead of the competition. For example, Snack producer Frito-Lay has been turning to AI-powered analytics to leverage their data for predicting store openings and shifts in demand.

4. Personalised Experience

According to Semrush, 71% of marketers believe that AI is useful for personalisation. AI can in fact personalise customer experiences by analysing individual behaviours and patterns. One key benefit of this is increased customer satisfaction and loyalty. Bill Gates said, “A decade from now, we won’t think of those businesses as separate, because the AI will know you so well that when you’re buying gifts or planning trips, it won’t care if Amazon has the best price, if someone else has a better price — you won’t even need to think about it.”

5. Operations Efficiency Boost

AI is useful for automating routine tasks, improving efficiency and productivity. More than half of businesses now apply AI to improve their production processes or process automation. Others use AI for:

• Search engine optimisation tasks
• Data aggregation
• Generating ideas, plans, presentations, reports, and website copy
• Streamlining internal communications
• Writing code

6. Real-Time Assistance

Provide 24/7 help to customers and to staff with AI tools, improving communication and efficiency on both sides. Cynthia Scott of Zip Co also cites the possible use of real-time generated scripts for call centre workers. AI apps can also assist your team in real-time. Microsoft Copilot is integrated into Microsoft 365 so staff can use it while working in Word, PowerPoint, Excel, OneNote, and Outlook. It can provide post-meeting recaps, help with drafting documents and presentations, and project status updates, among others.

7. Smart Security Safeguards

Fraud detection and cyber security services now use AI for:

• Finding patterns in data
• Spotting new cyber threats
• Battling bots
• Predicting data breach risks
• Improving endpoint safety

8. Supply Chain Upgrades

AI also figures in supply chain optimisation, by predicting demand and optimising delivery routes. The use of AI has led to a 44% decrease in costs for the supply chain management industry in 2019. Thoughtworks CTO Dr. Rebecca Parsons shared with Harvard Business Review how “supply chain planning addressing disruptions in the supply chain can benefit [from AI] in two ways” – by directly handling the easy problems and by providing support in more complex cases.

9. Spot-on Talent Acquisition

The recruitment process is significantly improved with help from AI:

• Tap a larger talent pool and crawl millions of profiles when sourcing for candidates.
• Screen resumes and objectively score applicants without bias.
• Post highly targeted job ads to yield better results.
• AI can also help predict candidates’ job-fit.
• Automate other recruitments tasks, such as doing offer letter templates, background checks, and onboarding paperwork.

10. Customer-Centric Products

AI helps in developing new products by analysing market trends, customer feedback, and competitive analysis. The Lottery Corporation CEO Sue van der Merwe noted: “AI is actually not necessarily about offering more products. It’s about offering the right products.” Other areas where AI can help are:

• Generating ideas for new products or product improvements
• Automating or enhancing production processes
• Optimising the product development cycle

Emerging Business AI Assistant: Copilot

In addition to the above opportunities, Microsoft has recently introduced its AI everyday assistant, Copilot, which is now available to businesses of all sizes. How can it help you?

Microsoft Copilot for Business Copilot* is an AI assistant that can work with your business data to increase your productivity and efficiency. Generate presentations based on existing information. Create projection charts based on past data. Provide project updates you’re your cloud data, emails, calendars, chats, etc. Follow along with your meetings to produce summaries and action items. Compose email replies that sound just like you. And more!

(*Copilot for Microsoft 365 is now generally available for small businesses with Microsoft 365 Business Premium, Business Standard, Office 365 E3 or E5 subscriptions with no minimum seat requirement.) While it’s tempting to try the myriad of AI apps flooding the market, here are some of the key reasons why you should use Copilot:

• Copilot offers a broad range of data for companies that want comprehensive search results combined with customisation options.
• As they’re part of the Microsoft ecosystem, they are a trusted source and allow for seamless integration with their other apps.
• Microsoft has a track record and commitment to enterprise-grade security.
• Your business data isn’t leaving your technology ecosystem, minimising your risk of data breaches.

Use AI Strategically

Like it or not, AI is revolutionising the way businesses operate. If you want to keep your edge or gain the lead, you must adopt AI wisely. Plan well for AI adoption in your organisation so you can strategically use the right AI tools for your needs. If you want to explore beyond AI and discover IT solutions that can help your business, book a free consultation with ADITS’ specialists. We can help you find the right technology solutions to achieve your goals. Whether your organisation is in Brisbane, Townsville, or anywhere in Queensland, our team at ADITS is here to provide tailored IT support and guidance to help you succeed.