AI is revolutionising real estate with advanced market analysis, accurate property valuations, personalised recommendations, and virtual tours. It streamlines transactions through smart contracts and fraud detection, giving real estate professionals a competitive edge and enhancing the buying and selling experience.

AI is revolutionising CRM by enhancing efficiency and customer interactions. It personalises experiences, boosts engagement by 50%, reduces response times by 35% with chatbots, and cuts churn rates by 25% with predictive analytics. Embracing AI in CRM is essential for staying competitive.

AI is revolutionising business operations by automating tasks, improving decision-making, and cutting costs. This blog explores case studies from manufacturing, retail, energy management, financial services, and healthcare, showcasing AI’s impact on efficiency and cost reduction.

AI is transforming sales by automating processes, personalising customer interactions, and optimising strategies. Tools like chatbots and recommendation systems boost conversions, with personalised recommendations increasing sales by 35% and chatbots enhancing engagement and conversions by 20%. AI also improves lead scoring and real-time data analysis, significantly raising conversion rates and revenue across industries.

Explore the major AI trends for the next decade, including ethical AI practices, advancements in healthcare, environmental sustainability, quantum AI, workforce automation, AR integration, and cybersecurity. Learn how these developments will reshape industries, influence consumer behaviour, and drive innovation, offering insights for businesses, consumers, and policymakers.

Building trust in AI involves ensuring transparency, protecting data privacy, addressing biases, and maintaining reliability. Techniques like Explainable AI (XAI) and robust data protection measures help foster a trusting relationship, promoting ethical use and sustainable growth of AI technologies.

Diving into the transformative role of AI in turning innovative ideas into reality. The highlights are on its impact on design, creativity, research, and development. It explores how AI accelerates the creative process, from optimising design phases to personalising products for target audiences.  It also underscores the importance of addressing ethical considerations in AI-driven innovation. Through AI, businesses can navigate the journey from concept to implementation more efficiently, paving the way for groundbreaking solutions and services.

Highlighting how the strategic incorporation of AI and automation propels businesses ahead by enhancing operational efficiency, personalising customer experiences, and enabling data-driven decisions. It underscores the transformative impact of these technologies on scalability, market adaptability, and the creation of innovative services, ultimately positioning businesses as leaders in their respective industries.

Delving into the world of AI, we uncover the innovative ways top corporations like Google, Amazon, and Tesla are leveraging technology to revolutionise operations, enhance customer experiences, and secure market dominance, highlighting the transformative power of AI across various industries.

Explore how modern businesses leverage these ai technologies to revolutionise productivity, efficiency, and decision-making. The piece highlights the seamless integration of digital interfaces, data analytics, and smart devices, showcasing their pivotal role in optimising workflows and driving innovation in the contemporary corporate landscape.

Diving into AI’s transformative power, this analysis contrasts its use in healthcare and manufacturing, from basic algorithms to advanced neural networks, showcasing its global impact on innovation and decision-making.

Artificial Intelligence (AI) is pivotal in transforming business strategies, enhancing operational efficiency, customer engagement, and informed decision-making. The piece emphasizes AI’s necessity for competitive edge and innovation, marking it as crucial for businesses aiming to excel in the digital age.

In the realm of modern business operations, the terminologies “Artificial Intelligence (AI)” and “Automation” are frequently used interchangeably. However, these concepts represent distinct approaches with diverse functionalities and impacts on organisational workflows. Understanding the differences between AI and automation is crucial for businesses aiming to leverage technology effectively. Let’s delve into the nuances that set these two apart and explore their unique contributions to the business landscape. 

As we step into the new year, the landscape of artificial intelligence continues to evolve at an unprecedented pace. For businesses leveraging AI solutions, the year 2024 holds the promise of transformative advancements and groundbreaking trends. At Rising Tide we foresee several key trends that will shape the AI landscape in the coming year. 

We are thrilled to announce that after four years in business we’re kickstarting a new chapter and rebranding to Rising Tide. While we may have a new name with a different look, our core values and commitment to continually developing AI and automation solutions remains. These changes represent our continued growth in alignment with the rapidly expanding world of AI, so that we can continually provide the best solutions for your business. 

In our last blog article we asked the question as to whether the use of Artificial Intelligence (AI) in decisions that affect our everyday lives could lead to individuals being disadvantaged.

In our last post we started to discuss how Artificial Intelligence (AI) and automation can help the Social Housing sector. We talked about some of the challenges that the organisations in that sector have to overcome. In this second part we explore how AI can help overcome these challenges…

This is the first in a running theme of blogs that will focus on how AI is being used in different sectors.

We have found that the breadth, depth and application of AI and automation varies significantly from sector to sector…

Chatbots have been around for quite a while now, probably longer than many of us realise. Despite this, it is only in the last decade that they have really gained in popularity among users and businesses…

Artificial Intelligence (AI) has been in the public consciousness for decades. Probably not long after the phrase was coined by John McCarthy and others in 1955 it captured people’s imagination…

Providing great customer service has long been understood as central to the success of any business or organisation. From shop assistants providing helpful advice in person through to contact centres for phone and email contact, and, more recently, online through chatbots…

At the very real risk of taking something fun, applying Computer Science to it, and completely ruining it(????), this week we are taking a departure from our normal blog posts and looking at the science of Christmas…

Artificial Intelligence (AI) is in an exciting time. Advancements in computing power and cloud services have meant that data can be processed on massive scales allowing it to be utilised for AI tools available to organisations of all shapes and sizes…

Amazon Web Services (AWS) are investing heavily in their Artificial Intelligence offerings.

As we have stated many times in this blog, the use of Artificial Intelligence (AI) and intelligent automation is growing. In some sectors this appears to be at an exponential rate and as a result some are leading the way faster than others…

In the 1980s and early 1990s the Artificial Intelligence (AI) industry experienced two “winters”; where the hype had overtaken the reality, confidence dissipated and with-it investment…

The area of Artificial Intelligence (AI) has grown exponentially over the past few decades. From its initial inception in the 1950s and through two downturns, we are now in a new heyday with technology and ideas developing all the time…

Customer engagement and customer experience has never been more important. Advances in technology, the rise in social media, ever increasing expectations and more choice every day have meant that customers are more discerning than ever.

This is Part 2 of a two-part blog post exploring prediction accuracy in Artificial Intelligence and Machine Learning…

We are often asked about different Artificial Intelligence and Machine Learning algorithms, and how accurately we might be able to predict future outcomes based on past data…

So, we were looking for a way to test the conversational flow of our chatbots that we are developing with Google’s Dialogflow…