Artificial intelligence (AI) refers to the capability of machines to perform tasks that would otherwise need human intelligence. This technology has taken the world by storm, with companies like Google, Amazon, and Apple spending billions on R&D in this area. The AI is getting smarter each day as artificial neural networks are trained with large amounts of data which means that it can do more than play games or beat humans at chess. The big data combined with artificial intelligence promises to help companies derive insights never thought possible before, thus allowing them to engage better with their customers. However, organizations need to keep a tab on innovation and stay relevant using artificial intelligence as part of their digital strategy.

Co-founder & CTO at Orient Software, a software outsourcing company that employs top software engineering talent from Vietnam. Artificial intelligence (AI) is changing the world. It's transforming the way we work and live. It's doing tasks that humans used to do. Instead, this is a story about how AI can help make businesses and their employees more innovative, creative and efficient. AI is already enhancing our lives in many ways.

Not even in the digital world can it be denied that since time immemorial there has always been a dynamic interaction between technology and organization, where the former never can deterministically deliver a certain result if it is dissonant with the latter. As a starting point for the article, it is shown how there are still remarkable "trends" of organization even today, where selected organizational models not always are based on the most appropriate model given a certain context, technology or a specific goal (so-called contingency model), but instead is following the discourse of what other companies, researchers or consultants currently see as the most "modern". Parallel to becoming increasingly clear how the digitalization of recent years now is exploding into a new era of data disruption, it is argued that we are seeing exactly the same process in the data area as well -- with an increasingly strong trend from monolithic setups in data lakes, to a more distributed data setup adapted to local stewardship, so-called data mesh. The article draws attention to how in this context it becomes even more hopeful how we now can see the first indications of a more fruitful approach than the "latest trend" in the field, where we in a similar way as within organizational research can discern the first embryo to a contingency model also for data setups. The article argues that this will most likely be one of the most crucial prerequisites for a data-disruptive success in 2022 and beyond.

Though it's rarely discussed, its proper integration determines whether it will make customers' lives better than ever before OR become deadly dangerous if applied without human centricity. A radical paradigm shift is required to ensure that the hyper-personalization of AI banking is not compromised by a lack of expertise in AI, technology or customer banking experience. According to Temenos, 77% of banking leaders strongly believe that AI will be the biggest game changer of all advanced technologies. Amid the pandemic, 88% of customers expect companies to accelerate their digital initiatives, while 68% state that COVID-19 has elevated their expectations of brands' digital capabilities, according to Salesforce. We can see that, prior to COVID-19, experimenting with AI possibilities was more like a tick-box exercise to keep up with the slogan of innovation.

Artificial Intelligence has marked its presence in almost every industry and walks of life. It has not only been reducing the human interventions in various operations but also helping humans to do their job better. Fields like Social Media, Consumer Electronics, Robotics, Travel and Transportation, Finance, Healthcare, Security, Surveillance, E-commerce, etc. are already benefiting from AI. Digital Marketing and AI go hand-in-hand. In digital marketing, there is a massive requirement to process tons of data. Artificial Intelligence helps digital marketers to process data faster, which allows them to create digital strategies more efficiently.

If the pace of the pre-coronavirus world was already fast, the luxury of time now seems to have disappeared completely. Businesses that once mapped digital strategy in one- to three-year phases must now scale their initiatives in a matter of days or weeks. In one European survey, about 70 percent of executives from Austria, Germany, and Switzerland said the pandemic is likely to accelerate the pace of their digital transformation. The quickening is evident already across sectors and geographies. Consider how Asian banks have swiftly migrated physical channels online.

Digital transformation - as challenging as it is to get started and carry on with the journey, companies are beginning to accept the fact that it is a crucial path forward that would help them futureproof amidst the pandemic. McDonald's Malaysia's digital director Muhamad Zaid Hasman told Marketing that companies can only achieve their targeted business outcomes when they reconcile the fact that the core of digital transformation is in fact, a business transformation. He added that marketers need to rally all teams within the organisation to be on board the business transformation plan. Zaid is also of the view that digital transformation is about placing the business front and centre and allowing technology to enable this transformation. To jump-start its digital transformation journey in Malaysia, McDonald's introduced a modernised and digitalised customer experience in its restaurants, also known as experience of the future.

With both government and companies eagerly adopting artificial intelligence (AI) strategies, we explore how AI could also streamline and scale your business. We examine the potential opportunities and risks that come with using AI, and what the future of AI and business looks like. The CSIRO defines AI as "a collection of interrelated technologies used to solve problems autonomously and perform tasks to achieve defined objectives, in some cases without explicit guidance from a human being." Subfields of AI include machine learning, computer vision, human language technologies, robotics, knowledge representation and other scientific fields. For instance, AI is already being used in autonomous emergency breaking (helping reduce 1,137 vehicle-related deaths per year) and in maintaining Sydney Harbour Bridge (using machine-learning and predictive analytics to identify priority locations for maintenance).

Believing that your company has become digital because it makes its content available online, use data analytics a little bit more than it did historically, or because your IT department decided to move from owning its own servers to cloud services are great steps but not enough. Putting a digital lipstick is a (quick) win but it does not confer any competitive advantage to your organization and what's more, this false sense of digitisation may unfortunately delay a required core transformation. The typical digital usages inside an SME revolve around the automation for logistics, procurement, HR, general services, and part of sales. Digitisation is about reshaping every element of your business model, including what you produce, how you produce, how you buy, how you sell, your relationship with customers, suppliers, and other partners, as well as you manage the company internally. A digital SME is not necessarily an organization using the latest Artificial Intelligence (AI) tools.

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