Do you have a question? Want to learn more about our products and solutions, the latest career opportunities, or our events? We're here to help. Get in touch with us.
Do you have a question? Want to learn more about our products and solutions, the latest career opportunities, or our events? We're here to help. Get in touch with us.
We've received your message. One of our experts will be in touch with you soon.
As artificial intelligence (AI) continues to evolve rapidly, contemporary enterprises are turning to its many powerful applications to capitalise on market opportunities and help solve their most significant challenges.
From elevated customer experiences to supercharged employee productivity and even increased cybersecurity – there are infinite use cases for AI to make business more efficient and/or effective.
Working with you – Datacom's AI consultancy ensures a value-driven strategic approach that balances risk and rewards, and builds strong, safe foundations for the future. Not AI in a box, but custom solutions that drive real value with a long-term view of AI strategy.
Our approach is to co-create. As we plan, discover and design together with customers, our AI specialists will extend and strengthen your team with leading knowledge, multi-disciplinary expertise and best-practice methodologies.
1. The Total Economic Impact™ (TEI) of Microsoft Azure AI, a commissioned study conducted by Forrester Consulting, April 2023. Results are over three years for a composite organisation based on Interviewed customers
Datacom research report 2024
The pace of AI evolution and uptake has continued to accelerate over the past year, seeing a positive shift in attitudes as more New Zealand businesses reap the benefits of AI. For industry and government alike, balancing opportunities and challenges while taking an innovative approach to AI evolution is of ongoing importance to ensure the country remains competitive.
For a second year, Datacom commissioned its annual survey of 200 senior business leaders to understand ongoing rates of AI adoption, maturity of existing AI governance and security, appetite for AI-specific legislation and experiences with AI usage.
Modern business is a constantly evolving landscape filled with complex challenges and promising opportunity. Our AI consultancy coupled with global market insights, customer insights and ICT industry narrative has identified today’s key customer challenges. Harnessing AI to drive transformation in these areas offers our customer’s the potential for powerful rewards.
Drive significant customer experience improvements through richer, streamlined digital interactions. Understand buying and browsing patterns and create personalised modern customer experiences.
Read more
Drive significant customer experience improvements through richer, streamlined digital interactions. Understand buying and browsing patterns and create personalised modern customer experiences.
Read more
Empower your people with efficient operational processes, faster access to knowledge and information, and hyper accelerate productivity. Free up resources for more meaningful work by automating menial or repetitive tasks.
Empower your people with efficient operational processes, faster access to knowledge and information, and hyper accelerate productivity. Free up resources for more meaningful work by automating menial or repetitive tasks.
Identify opportunities to enhance productivity, eliminate friction, and reduce costs in your business workflows. Understand the return-on-investment of AI and business initiatives to help unlock investment funds.
Identify opportunities to enhance productivity, eliminate friction, and reduce costs in your business workflows. Understand the return-on-investment of AI and business initiatives to help unlock investment funds.
Improve real-time early threat detection and response using AI to process and analyse vast volumes of cyber data. Strengthen cloud security, better safeguard data and applications and unlock advanced predictability.
Read more
Improve real-time early threat detection and response using AI to process and analyse vast volumes of cyber data. Strengthen cloud security, better safeguard data and applications and unlock advanced predictability.
Read more
Establish the data governance guardrails required to ensure you power your organisation’s AI outcomes with high quality, responsible data. Connect AI projects to a centre of excellence for the greatest outcomes.
Read more
Establish the data governance guardrails required to ensure you power your organisation’s AI outcomes with high quality, responsible data. Connect AI projects to a centre of excellence for the greatest outcomes.
Read more
Understand your total supply chain to optimise sustainability and ESG outcomes. Harness AI analytics to create visibility, measure, report and predict sustainable impact right across your organisation.
Read more
Understand your total supply chain to optimise sustainability and ESG outcomes. Harness AI analytics to create visibility, measure, report and predict sustainable impact right across your organisation.
Read more
Datacom have deep expertise and experience across the full spectrum of AI types. The decisions around which AI strands are woven into customer solutions are driven by multiple factors, starting with strategy and including operating models, and data security requirements. Analysing these factors is crucial to determining their suitability for your specific outcomes.
Rather than starting with technology and what it can do, we start with the challenges facing your business and the opportunities that are within reach for your team. By taking this approach, we can do more than just work out where to use AI – we can be certain you're using it in ways that drive change and will build strong foundations for the future.
We believe in use cases before technology. Leverage our AI industry best practices and fresh perspectives to identify new opportunities, solve challenges and ensure your people thrive with fit-for-purpose solutions to your greatest challenges.
Our AI adoption framework is a comprehensive and leading-edge approach to integrating best-practice, AI thinking and infrastructure. Harness deep AI expertise across our Australasian teams, as we advise, design, adopt, manage and optimise AI to drive measurable returns for your unique requirements.
Ours is comprehensive, end-to-end solution portfolio that enables organisations to plan, design, implement, and manage the foundational technologies and platforms necessary to support enterprise-wide AI adoption and scalability.
Having trust in your AI solution is an imperative. Access the security expertise you need to define the guardrails, maintain the privacy, integrity and business continuity of all data and infrastructure within your AI ecosystem.
By using AI in conjunction with other technologies, you can improve productivity across your organisation.
AI assists decision-makers by complementing their abilities – and giving your workforce more head-space for strategic thinking and problem-solving.
With AI for service, you can optimise every touchpoint, from customer-facing interactions to behind-the-scenes processes. The result? Exceptional service experiences where every touchpoint in your ecosystem is enhanced.
AI is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities.
The common benefits of AI include automation, improved productivity, enhanced security and better decision making.
AI in customer experience improves customer satisfaction and operational efficiency in several ways. AI-powered chatbots and virtual assistants provide immediate responses to customer queries, ensuring 24/7 support and reducing customer wait times. By analysing vast amounts of data, AI helps businesses personalise recommendations and content, creating a more relevant and engaging experience. AI-driven analytics and sentiment analysis enable companies to gain insights into customer behavior and preferences, allowing for better-targeted marketing efforts and product enhancements. AI automates routine tasks, freeing up human agents to focus on complex issues, resulting in faster problem resolution and improved customer interactions. AI in customer experience leads to more efficient, responsive, and personalised interactions, ultimately enhancing customer satisfaction and loyalty.
Transforming customer experience with AI and automation can help businesses gain a competitive advantage in several ways. AI-powered chatbots and virtual assistants can provide instant, round-the-clock customer support, reducing response times and enhancing customer satisfaction. AI-driven analytics and predictive modeling enable businesses to gain deeper insights into customer behavior, allowing for more precise targeting and personalisation of marketing efforts, ultimately increasing conversion rates and revenue. Automation streamlines internal processes, reducing operational costs and improving efficiency, which can be passed on to customers in the form of lower prices or better service. AI helps identify emerging market trends and competitive threats, allowing businesses to adapt and innovate faster.
ML refers to the technologies and algorithms used by machines to analyse data enabling it to recognise patterns, make decisions, problem-solve and improve through experience.
Data that is not clean or ‘dirty data’ has issues such as having duplicates or being outdated, insecure, incomplete, inaccurate or inconsistent. The risk presented by dirty data is that if you are adopting AI tools and platforms that are using that faulty data, the AI outputs will also be flawed. For example, AI can be a powerful predictive tool and can identify patterns and trends within your business that you can use to guide strategic decisions, but if the data is off, then the AI analytics will be too. To avoid these risks and clean up their data, companies need to commit to regular data audits and implement assurance protocols.
ChatGPT is a natural language processing technology that uses machine learning, deep learning, and natural language understanding to answer questions mimicking human conversation and responding in an engaging way.
Copilot is a more secure AI-powered digital assistant that integrates with Microsoft 365 apps (Word, Excel, PowerPoint, and Teams). Copilot is ideal for coding tasks, while ChatGPT is versatile for various conversational and creative purposes.
-1:Narrow-Small?$full-width-tiles$&resMode=sharp2)
:Narrow-Small?$full-width-tiles$&resMode=sharp2)
The moral principles that govern the use of AI to ensure it’s being used responsibly to ensure fair outcomes.
A set of instructions or procedures to perform or complete a task or solve a problem.
An agreement that defines how two applications that perform a specific task communicate with one another.
An interactive experience combining the real and digital worlds using computer-generated content.
Data sets that enable organisations to make informed decisions by collecting and studying large volumes of complex data to reveal patterns or trends.
A tool that uses text and voice commands to imitate human conversation.
A computerised model that imitates the human thought process to learn and recognise patterns to complete tasks and/or problem solve.
Enables machines to extract insights from visual data to help enhance AI capabilities.
AI-powered text or voice-based interactions to understand and interpret requests using natural language processing (NLP).
Data mining organises large data sets to identify patterns enabling problem solving or improvements to be implemented.
Platforms that interpret data to develop strategies and discover actionable insights.
Uses artificial intelligence to create content – for example, text, video, images, or coding.
A parameter, or value, that an artificial intelligence model uses to learn.
An AI model that is trained to understand language and generate human-like content by using large amounts of text.
Incorporated computer science, coding and mathematics to develop algorithms and models that enable machines to recognise and predict trends and behaviours using data, without human intervention.
A machine learning model that processes information from various modals, such as images, text and video.
An AI model that enables computers to recognise text and speech by understanding the spoken and written language.
OpenAI is an artificial intelligence research organisation based in the US developing several language models, including ChatGPT.
The application of using source code that is freely available for modification and redistribution to develop AI resources.
The use of algorithms to detect, analyse and identify patterns in data to allow for information to be categorised.
The analysis of data using technology to make predictions on what will happen in a specific timeframe using historical information and data patterns.
The analysis of data using technology to enable organisations to make informed strategic decisions by using possible scenarios, past and present performance and other resources.
Data that is fed into an AI system by a user to get a requested output.
Autonomous systems and sensing technologies.
A method in which a computer interprets words spoken aloud and converts them into readable text. Also known as voice recognition.
Searchable information – for example, dates, phone numbers or product identification numbers.
The use of classified output data to generate correct algorithms and train machines.
An entire word (or part of a word) that a large language model (LLM) uses to understand and generate human-like content.
Examples used by an AI system to learn, identify patterns and create new content.
Previously learned data is applied to new tasks and activities by a machine learning system.
The use of unclassified and unlabelled data to train algorithms.
An immersive reality experience that blends digital and real worlds bringing to life experiential user experience.
