Knowing how to rack and stack servers isn’t an in-demand skill at this stage. Most businesses aren’t building physical datacenters. Rather, we’re designing and building service capabilities that are hosted in public cloud environments. The infrastructure is configured, deployed, and managed through code. This is the heart of the DevOps movement—when an organization can […]
Will financial services be able to leverage the vast amount of insight available from Internet of Things (IoT) technology for the benefit of the consumer as well as the institution? A report from Deloitte and insights from several banking leaders provides a glimpse into the future.
The Internet of Things is defined as a way for devices that are connected to the Internet to communicate and share information with other ‘smart’ devices in real time. In context, these sensors would leverage the capabilities of big data, analytics and even artificial intelligence to anticipate needs, solve problems and improve efficiency.
Estimates of the size of the IoT market vary. Analysts and technology providers forecast added economic value of anywhere from $300 billion to $15 trillion by decade’s end. And FSIs will most likely be active participants in this transformation.
We already have products that use sensing and communication technologies in a range of consumer sectors, such as self-driving cars, ‘smart’ appliances and geolocational sensing on mobile phones. We are also seeing applications in business, with assembly line management being a focal area.
With the benefits of IoT, comes challenges such as in the area of security and privacy. With the explosion of devices and sensors, cybersecurity takes on a whole new dimension – not just for institutions but also for consumers. With more digital connections and information being transmitted, digital vulnerabilities are likely to expand exponentially.
How AI can help you stay ahead of cybersecurity threats
Artificial intelligence and machine learning can be force multipliers for under-staffed security teams needing to respond faster and more effectively to cyber threats.
What are artificial intelligence and machine learning?
In a cybersecurity context, AI is software that perceives its environment well enough to identify events and take action against a predefined purpose. AI is particularly good at recognizing patterns and anomalies within them, which makes it an excellent tool to detect threats.
Machine learning is often used with AI. It is software that can “learn” on its own based on human input and results of actions taken. Together with AI, machine learning can become a tool to predict outcomes based on past events.
As it seems, Artificial Intelligence is set to be a game-changer for the travel industry. It is helping consumers and companies simplify making travel arrangements and streamlining business processes. AI is also modernising travel by taking it from a complicated, drawn-out experience to one that is more enhanced and customer-focused by improving the overall efficiency […]
Internet Of (Medical) Things In Healthcare
Digital Transformation and the Internet of Things have brought many opportunities business and consumers alike.
The IoT means connecting devices and extracting, storing, processing and analyzing data from them in big data platforms that can then be leveraged for better decision making. It helps in predicting certain outcomes thereby helping with […]
Large global enterprises have long been exploiting the benefits of business analytics. For startups and SMEs, however, it’s a different story. Recent research from One Poll found that 56% of SMEs rarely or infrequently check their business’s data, while 3% have never looked at it at all.
The advantages of data analytics to enterprises of […]
Big data and analytics are topics firmly embedded in our business dialogue. The amount of data we’re now generating is astonishing.
Data has also evolved dramatically in recent years, in type, volume, and velocity – with its rapid evolution attributed to the widespread digitisation of business processes globally. Data has become the new business currency […]
The Internet of Things is rapidly capturing the attention of mainstream consumers both domestically and abroad. With a primary focus on interconnectivity, IoT-enabled devices like smart appliances and their corresponding smartphone apps are already making our daily lives easier. Such products are becoming so popular that it will soon be difficult to imagine life […]
The dynamics between AI and IoT
AI is based on Deep Learning algorithms. Deep Learning involves automatic feature detection from data. AI techniques can be applied to a range of Data types including: Images and sound (CNNs), Transactional data, Sequences (LSTMs), Text (Natural Language Processing) and Behaviour (Reinforcement learning). With this background,let us see how […]
The rise of big data, computing power, and advanced analytics enables companies to gain valuable insights from data. Artificial intelligence, machine learning, the Internet of Things, and drones are just a few innovative tools now available to help companies gain a more complete view of their businesses and make better decisions. For risk managers, […]