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What’s changing in general insurance: AI, pricing sophistication, capital validation, reserving evolution, and climate risk

The Power of Listening: Too often, technology companies build first and listen later

Discover why leading insurers are choosing Optalitix to streamline underwriting and pricing—faster value, no-code Excel integration, and empowered actuarial teams, all without costly consultants or lengthy rebuilds

Explore how the California wildfires have become a turning point for the insurance industry. Learn how insurers are adapting through advanced data analytics, risk modelling, and technology.

As technology advances, insurers must carefully balance automation through algorithms with the indispensable value of human judgment.

Why Legacy Pricing Systems Are Holding Insurers Back

AI is transforming commercial insurance pricing—are you leveraging its full potential?

Explore how healthy capacity is shaping a stable 2025 reinsurance renewals season. Learn about key trends, market dynamics, and opportunities for insurers in our latest analysi

Navigating Insurance Trends: Outlook and Opportunities

Exploring Data Strategy, Pricing Innovation, and AI Trends in General Insurance at Birmingham’s ICC

The key for 2025 renewals is maintaining pricing discipline. A focus on rate adequacy will be crucial to ensure the right balance between growth and profitability.

Insurance underwriters still play an important role on the London insurance market despite the increasing use of AI

Listen to Dani Katz, Co-founder & Director of Optalitix talk about Insurance and Innovation with Matthew Grant

The experience of early adopters has proven that underwriter workbenches can make insurance companies more productive

Artificial intelligence (AI) is a machine’s ability to perform human-like cognitive functions. Find out how AI is able to enhance cybersecurity in business here.

What does an underwriter do on a daily basis? Discover the role underwriters play, how technology plays a key part in the underwriting process and more here.

The fluctuations in insurance news for 2023 are unexpected. Some companies are leaving following big losses, while others expect to see profits.

Numerous insurers overlook advanced solutions. Ensure your company leverages valuable insights from its data to enhance the user experience with Optalitix!

Improve underwriting efficiency with Optalitix's workflow and workbench expertise. Our tools handle various processes, quotes, and large underwriting departments.

Explore how our underwriting workbench aids insurers in handling incoming risks, monitoring their risk profile, and aligning management with their risk appetite.

New principles for doing business at Lloyd’s will encourage syndicates to digitise their processes, especially underwriting. Find out more here.

The Dia Munich Conference, in 2022, showcased cutting-edge insurance technology, highlighting the growing fusion of insurance and technology in mainland Europe.

Smart Follow underwriting and the algorithmic technology will bring a revolution of improved pricing and lower costs to insuring large and complex risks.

Take a look at a report that considers the impact of algorithmic underwriting on Lloyd’s and the London Market where complex risks are often underwritten..

Optalitix Quote is a new cloud product that enables underwriters using spreadsheets to improve their pricing processes. Learn more about it in this handy guide.

The multi-faceted contribution an underwriter makes to any insurance business transcends simply assessing risk. Read more about underwriting and the impact of it.

The ease with which Excel models can now be converted and the number available requires a new age of system design. Find out more in this guide.

Demystifying AI is a challenge facing most businesses as automation and machine learning shift to being a necessity.

Google's Vice President, Pandu Nayak claims that Google is using AI to better understand news and misinformation. Read more about Nayak's theory in this guide.

Deepmind is an AI company using machine learning to reinvent the game of chess as we know it, with the help of chess champion Vladimir Kramnik. Learn more here.

Researchers achieved a new AI breakthrough whereby using light for performing computations can improve machine learning neural networks in speed and efficiency.

Researchers claim to have trained a machine learning system to identify posts on social media that aim to manipulate political events. Read more in this guide.

The Artificial intelligence tool Generative Pre-training Transformer (GPT-3) has gained much attention, but is the technology dangerous?

Elon Musk has recently claimed that Artificial Intelligence could overtake humans by 2025, and discussed these predictions in a New York Times interview.

With human-made models comes human-biases, machine learning models are inclined to reflect the biases of the team who built it and the data it is fed.

The debate over racial bias in tech has been renewed as a US university claims it can predict criminality through facial recognition.

AI and machine learning have become key tools in helping to tackle the pandemic, not just in understanding the virus but also how to support different industries.

Whilst AI has transformed many essential areas of society, some have also begun to use its technology for the weirder. Take a look at some odd uses of AI here.

From virtual health care assistants to driverless taxis, AI is transforming the way the world operates, making processes more productive and efficient. Read more.

AI permeates several aspects of our everyday lives, from our from smart phones to shopping and much more

Artificial Intelligence (AI) has the power to change the world across multiple sectors including business, healthcare, transport and education. Learn more here.

AI has the power to change the future of working globally. Read more about how AI can assist with staff collaboration, hiring employees, and remote working here.

Machine learning can help your business thrive by processes such as automating decisions, mundane tasks, and security. Find out more here.

Machine learning technology has already started to replace humans, yet it has potential to create many opportunities and enable people to do their job better.

Developments in AI led to machines taking predominantly unskilled jobs, and this looks set to continue. Learn more about how AI is impacting the workforce here.

New AI technology from Microsoft and Google is able to detect diseases such as prostate cancer and diabetic retinopathy. Learn more the NHS's use of AI.

The AI industry is estimated to be worth somewhere in the region of $5 trillion dollars, and this number is only set to increase in the future.

Machine learning algorithms are a type of AI that can learn patterns and processes with minimal to no human intervention.

Reactive machines, theory of mind, limited memory, and self-awareness are four main types of AI categories to be aware of

What are the 3 v’s of big data? Find out more as the data experts at Optalitix explain what they mean by using examples to illustrate each of them.

When pricing a new product, the starting point is almost always Excel. Learn how to create a pricing application from a spreadsheet pricing model here.

The key to selling is to establish a relevant dialogue and understanding with your clients. Find out how AI systems can be used to target the right consumers.

AI is changing the competitive landscape for insurers by delivering a competitive edge in a number of areas.

As AI continues to develop, businesses of all sizes will need to engage with the technology and embrace the power of machine learning to improve their processes.

GDPR refers to the EU’s upcoming data protection regime. Find out whether the anonymisation of data, as prescribed by GDPR, would break AI models and more here.

Agile organisations that can respond to the global challenges of their often multinational customer base are often the ones that thrive.

Dani Katz talks about how Optalitix can improve every aspect of the insurance business through better use of data, quotations and more. Read more in this guide.

In the past, choosing the right life insurance was an arduous task. Thanks to data analysis and algorithms, shopping for life insurance has become much simpler.