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Trends in our areas of service

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We are in a rapid technology advancement era, there are many new developments happening every day. Most businesses are finding it hard to keep up with these developments. In many cases, the lag in technology adoption can potentially be the major cause of losing on new customers and business opportunities, our comprehensive and end to end technology management offerings frees you from worrying about left behind.  Some of the major digital technology management trends in our areas (Digital Marketing, Cloudification, Data & AI, and Managed Services) of service are given below:

Digital Marketing

  • Personalisation: Tailoring content, ads, and recommendations to specific individuals based on their interests, behaviours, and demographics.

  • Interactive content: Engaging formats such as quizzes, polls, and interactive videos that encourage user participation and increase engagement.

  • Influencer marketing: Collaborating with social media influencers to promote products and services to their followers.

  • Video marketing: Creating and sharing video content across various platforms to capture the attention of users and convey information.

  • Voice search optimisation: Optimising content for voice search, as more people use voice assistants like Siri and Alexa to search for information.

  • AI-powered chatbots: Implementing chatbots to provide 24/7 customer service and support.

  • Augmented Reality (AR) and Virtual Reality (VR): Using AR and VR to create immersive experiences for customers, such as virtual try-ons or 360-degree tours.

  • Social commerce: Allowing customers to purchase products directly from social media platforms without having to leave the app.

Cloudification

  • Multi-cloud adoption: Many organisations are embracing a multi-cloud approach, using different cloud providers to meet their specific needs and to avoid vendor lock-in.

  • Server-less computing: This model allows developers to focus on writing code without having to worry about infrastructure management, leading to faster development cycles and more efficient resource utilisation.

  • Edge computing: Bringing computation and data storage closer to the source of data, reducing latency, and improving performance for applications that require real-time processing.

  • Hybrid cloud solutions: Combining private and public cloud infrastructures to take advantage of the benefits of both while maintaining control over sensitive data.

  • Artificial intelligence (AI) and machine learning (ML): Cloud providers are increasingly offering AI and ML services, making it easier for organisations to leverage these technologies without having to invest in expensive hardware and software.

  • Kubernetes and containerisation: Containerisation and orchestration with Kubernetes are becoming more popular for managing applications in the cloud, enabling rapid deployment and scaling.

  • Cloud security: With the increasing number of cyber-attacks and data breaches, cloud security is becoming a critical focus area for many organisations.

Data & AI

  • Responsible AI: With increasing concerns around bias, transparency, and accountability, organisations are adopting ethical principles and frameworks to guide the development and deployment of AI systems.

  • Explainable AI: As AI systems become more complex, there is a growing need for transparency and interpretability, so that humans can understand how the AI arrived at its conclusions.

  • AI democratisation: Making AI more accessible to non-experts through low-code or no-code tools, enabling more people to use AI to solve problems in their organisations.

  • Augmented analytics: Combining AI and analytics to automate data preparation, insights generation, and decision-making, reducing the time and effort required for data analysis.

  • Edge AI: Bringing AI processing to edge devices such as smartphones, sensors, and IoT devices, enabling real-time decision-making and reducing the need for cloud connectivity.

  • Natural language processing (NLP): Improving the ability of AI systems to understand and respond to natural language, enabling more natural and intuitive interactions with humans.

  • Federated learning: Allowing multiple parties to collaboratively train a shared AI model without having to share their data, maintaining privacy and security.

  • Automated machine learning (AutoML): Automating the process of selecting, training, and deploying machine learning models, reducing the need for specialised expertise, and accelerating the development of AI applications.

Managed Services

  • Data and AI governance: With the increasing use of data and AI, there is a growing need for governance frameworks and processes to ensure that data is used ethically, securely, and in compliance with regulations.

  • Cloud management and optimisation: As more organisations adopt multi-cloud and hybrid cloud solutions, there is a need for management services that can help optimise cloud usage and reduce costs.

  • Cybersecurity management: With the increasing number of cyber threats and data breaches, cybersecurity management services are becoming more critical, providing proactive measures to prevent attacks and rapid response to incidents.

  • Digital transformation consulting: Helping organisations identify and implement digital solutions to streamline processes, enhance customer experience, and drive innovation.

  • DevOps and Agile consulting: Providing guidance on the adoption of DevOps and Agile methodologies to increase collaboration, improve speed-to-market, and enhance product quality.

  • Customer experience management: With the growing importance of customer experience, there is a need for management services that can help organisations better understand and respond to customer needs and preferences.

  • Infrastructure management: Providing services to manage and optimise IT infrastructure, including servers, storage, networks, and data centres.

  • Business intelligence and analytics: Helping organisations leverage data to gain insights into business performance, customer behaviour, and market trends, and make data-driven decisions.

These are just a few of the latest trends in digital technology management that Tidy DM has been following, this field is constantly evolving with new technologies and strategies emerging on daily basis.These trends reflect the ongoing evolution, with new innovations and approaches emerging all the time.

Email: info@tidydm.com

Phone: +61 (02) 8005 0031