Data science is a booming industry. If you've got the skills and the interest, you've got the opportunity to bring home the big bucks. Data scientists are well paid, even compared with others in the tech community. Because the data science field is constantly growing and changing, data science is widely ranked as the skill most in-demand across the tech sector. Data science is a great industry to get into if you're looking to make a lot of money.

In August 2021, the news about Japan suspending 1.63 million doses of the Moderna vaccine shocked the world community. It was revealed that the vaccine was contaminated with metal particles due to "human error specific to visually misjudging the required 1mm gap between the star-wheel and the stopper" of the machine that put the tops on vials. This incident put the spotlight on vaccine inspection, and how it could be carried out at scale. Clearly, new systems were needed. This mistake could have posed a threat to the lives of 1.63 million people getting their vaccination.

Artificial intelligence is changing the way we do marketing, and it's happening faster than we think. From voice assistants like Siri helping users find information or complete tasks, to personalized ads popping up while browsing online–these are just some examples of how AI can be incorporated into your digital strategy today. In this blog post, I will explore how AI is inventing the future of marketing for us. The use of AI in marketing is rapidly changing the way that businesses connect with consumers. One company already using Ai successfully is Zalando, the European e-commerce retailer.

Over the past couple of years AI risks and ethical considerations of AI are coming to the forefront. With the increased use of AI for contact tracing, workforce safety and planning, demand forecasting and supply chain disruption during the pandemic, a number of risks around privacy, bias, safety, robustness, and explainability of AI models have emerged. AI risk identification, assessment, and mitigation varies by the level of AI maturity, company size, industry sector and country of domicile. PwC's Global Responsible AI survey, of over 1,000 C-level executives, conducted in November 2020 reveals a number of insights as it relates to risks of AI and how companies are assessing, managing and mitigating these risks. The companies surveyed were in a number of industry sectors including financial service, technology, energy, utilities, and health.

Most experts have settled on a description of Artificial Intelligence as being the scientific endeavor of building computers that mimic the capabilities of the human brain. To put that into perspective, we know that Human Intelligence started to evolve 7–8 million years ago when our oldest ancestors had a brain volume of about 450 cubic centimeters. In the next 3.5 million years our ancestors' brain volume increased to about 1350 cubic centimeters. Modern humans (average brain volume of about 1200 cubic centimeters) evolved from the Homo Sapiens species during a period of dramatic climate change 300,000 years ago. Like other early humans that were living at this time, they gathered and hunted food, and evolved behaviors that helped them respond to the challenges of survival in unstable environments.

Most experts have settled on a description of Artificial Intelligence as being the scientific endeavor of building computers that mimic the capabilities of the human brain. To put that into perspective, we know that Human Intelligence started to evolve 7–8 million years ago when our oldest ancestors had a brain volume of about 450 cubic centimeters. In the next 3.5 million years our ancestors' brain volume increased to about 1350 cubic centimeters. Modern humans (average brain volume of about 1200 cubic centimeters) evolved from the Homo Sapiens species during a period of dramatic climate change 300,000 years ago. Like other early humans that were living at this time, they gathered and hunted food, and evolved behaviors that helped them respond to the challenges of survival in unstable environments.

Artificial Intelligence (AI) is already being used in advanced medical settings and it has multiple applications including, wearable technology, precision medicine and virtual clinics. In some cases, it can even interpret test results more accurately than physicians. While most of us are just beginning to realise the full potential of AI, some entrepreneurs are way ahead. But how can they build trust with investors, what are the barriers for European startups and how can smaller companies get ahead? Pascal Lardier, VP for International Events and Media Content at HIMSS moderated the session around'AI Beyond the Buzz' at the HIMSS & Health 2.0 European Digital Conference, with the panel consisting of Neha Tanna, Investment Partner, Joyance Partners, Jorge Juan Fernández García, Director of Innovation, EIT Health, and Piotr Orzechowski, Founder & CEO, Infermedica in Poland.

The archaic, paper-based world of trade finance looks set to take a further leap into the digital future, as trade finance distribution platform Tradeteq begins a collaboration with the Singapore Management University (SMU) to explore quantum computing-based solutions for the industry. Supported by the Monetary Authority of Singapore (MAS) under its artificial intelligence and data analytics (AIDA) grant scheme, the research project, titled Exploring the advantages of a quantum system for machine learning applied to credit scoring, aims to build a predictive machine learning model implemented on a quantum computer in order to tackle inefficiencies in approving trade finance. "Currently, many small and-medium-sized businesses are unable to grow their companies due to a lack of funding as they are deemed'too risky' by current credit rating models," says Pang Hwee Hwa, dean of the SMU School of Information Systems. "With shorter processing time, more businesses could be scored and with greater accuracy thereby creating more trust and providing greater access to finance for companies than ever before." Quantum computing is still very much in its infancy, and the technology doesn't yet exist to build a large-scale quantum computer.

Investor Mark Cuban has an emphatic message for entrepreneurs, businesses, and the government – invest in artificial intelligence (AI) technology or risk becoming'a dinosaur' very soon. Speaking at the CES 2020 event, the world's most influential annual consumer technology conference, at Las Vegas, Nevada, the serial entrepreneur and Shark Tank investor also voiced his own passion for all things AI-related, adding that he is betting big on AI and investing in startups and businesses that leverage AI to innovate and create meaningful, world-changing impact. Mark Cuban emphasised the need for the US government to be involved in developing AI technology and supporting its use, saying this was a national priority akin to the need to invest in and stay ahead of the space mission in the 1950s. The billionaire – who has invested in several healthtech startups such as Eon Health and Genetesis that leverage AI technology – also stressed on the need for entrepreneurs and businesses to understand AI technology and include it in their strategic long-term plans in order to stay relevant in the years to come. "If you're an #entrepreneur & if you don't know #AI, then you're the equivalent of somebody in 1999 saying, "I'm sure this internet thing will be okay but I don't give a shit." Going forward, the world will quickly be defined by'AI haves' and'AI have-nots,' said Mark Cuban, who admitted that he's been taking tutorials and classes on AI and machine learning (ML) on AWS and on Coursera to better understand the technology. Still, there are challenges in integrating AI technology, with small companies finding it the hardest unlike the big tech majors like Google, Amazon, and Facebook that can invest billions of dollars on AI and go through trial and error to understand what works and doesn't work, Mark Cuban said. "Then underneath those companies (tech behemoths) are the multibillion-dollar companies.

Earlier this year, San Francisco-based venture capital firm Riverwood Capital invested US$ 20 million in Omie, a Brazilian start-up that provides small and medium businesses (SMBs) with an AI-powered business management software. Omie's genius idea was to focus on small firms, not served by larger management software services. By automating business functions, the company essentially eliminates the massive amount of paper work required in Brazil, a country notorious for red tape. "Cloud management platforms are revolutionising small and medium businesses in Brazil," says Marcelo Lombardo, Omie's CEO and founder. He spoke with LSE Business Review managing editor Helena Vieira on 5 November during the Web Summit conference in Lisbon. Starting from the beginning, what does Omie do? Omie is a cloud management software for small and midsize businesses. We put together pretty much everything a small business owner needs for his daily life (financials, invoicing, inventory, manufacturing, etc).