Maëva Ghonda is a scientist born in Kinshasa, the great capital city of the Democratic Republic of Congo (DRC). Maëva is the editor-in-chief of the IEEE Quantum Computing Newsletter, the host of the Quantum AI Series Podcast, and the chair of the Quantum AI Institute. As a research scientist, her work is centered on technological innovations -- i.e. Quantum Computing, Artificial Intelligence and Machine Learning -- to tackle challenges in Pharma and Healthcare (e.g. Maëva Ghonda's passion for quantum computing ignited while working as Joint Quantum Institute Scholar.

As part of ongoing efforts to diversify their economies and build a platform for sustainable future growth, MENA nations are increasingly turning towards artificial intelligence (AI). A slew of recent investment and initiatives – primarily in academia and the government, but also in the private sector – has reinvigorated interest from industry leaders around the globe in the potential for AI to strengthen the efficiency and sustainability of MENA economies. According to a report from the Economist Impact Unit (EIU) and Google published earlier this year, AI could bring about an additional $320bn in economic growth in the MENA region by 2030. Many long-term economic strategies in the region target high-value sectors with the potential to benefit from the Fourth Industrial Revolution – a raft of technological advancements in AI, data and cloud computing that merge the physical, digital and biological worlds. In recent years the UAE, Saudi Arabia, Qatar and Egypt have published ambitious, government-driven strategies to develop AI.

In our increasingly digitized world, enterprise software applications can better serve your business and your customers. By connecting every department within a company, enterprise systems allow companies to improve productivity and efficiency. These systems are generally created with specific goals in mind and serve many users at the same time, typically over a computer network instead of an end-user application. From payment processing and online shopping to automated billing, interactive product catalogs, business process management, content management, security, and more, the services such software systems provide are built to satisfy the needs of businesses, schools, clubs, charities, and government organizations alike. These systems are frequently enhanced to meet the changing needs and opportunities of the particular entity for which they were written.

The past two years have seen radical digital transformation. Companies and industries that have traditionally been hesitant to adopt new technology suddenly embraced their digital transformations--they needed to find new ways to work. Interestingly, many experts believe that these radical shifts are only the beginning. In a recent Deloitte survey, three-quarters of executives stated that they expect more changes in the next five years than there were in the past five years. The rate of change only increases as organizations are more open and willing to make the changes they need to keep up with the competition. Digital transformation (DX) encourages business organizations to adopt new technologies in order to deliver better value to their customers.

A new paper published by the Government on the 18th July 2018 called'Establishing A Pro-Innovation Approach To Regulating AI' states that the regulation of artificial intelligence in the UK will be underpinned by 6 core principles designed to manage the risks that come with the technology. The six core principles will be applied across all sectors of the economy on a non-statutory basis, complemented by context-specific regulatory guidance and voluntary standards that will be implemented by UK regulators such as the Information Commissioner's Office. Hence, there will be no central AI regulator, but instead sector regulators who will apply the 6 core principles to artificial intelligence systems operated within the area they oversee. Given these proposals, the UK is adopting a far more light-touch risk-based approach compared to the more prescriptive and standardized one being pursued by the EU, which published its draft AI Act back in 2021. The UK approach to artificial intelligence will instead focus upon proportionality, with the regulatory framework for artificial intelligence systems being determined by the industry and context in which the system is being deployed.

As the Pentagon prepares its report into UFOs, due later this month, Chinese military researchers have turned to artificial intelligence to track and analyse the increasing number of unknown objects in China's airspace. To the People's Liberation Army, they are "unidentified air conditions" – a phrase which echoes the US military's "unidentified aerial phenomena" – but to the public they are better known as unidentified flying objects, or UFOs. According to Wuhan-based researcher Chen Li from the Air Force Early Warning Academy, human analysts have been overwhelmed in recent years by the rapidly mounting sighting reports from a wide range of military and civilian sources across the country. "The frequent occurrence of unidentified air conditions in recent years … brings severe challenges to air defence security of our country." The PLA's task force dedicated to the unknown objects increasingly relies on AI technology to analyse its data, according to Chen's report, which is in line with several other military studies published in domestic journals, most recently in August last year.

Transacting has changed dramatically due to the global pandemic. E-commerce, cloud computing and enhanced cybersecurity measures are all part of the global trend assessment for data analysis. Businesses have always had to consider how to manage risk and keep costs low. Any company that wants to be competitive must have access to machine learning technology that can effectively analyze data. The industry's top data analysis trends for 2022 should give our creators an idea of where it is headed.

Nowadays, it's more straightforward than at any other time to make a piece of graphic design, and this is particularly valid for logo design. These little graphic works will quite often be straightforward, with a moderate couple of components and restricted shadings. They effectively identify a brand and have not many prerequisites. Be that as it may, the design should be critical, extraordinary, and do the occupation for which they were designed. Hypothetically, logo design is entirely simple, to the point that anybody can deal with a DIY logo.

The role of public sector professionals can be challenging as financial resources are decreasing while the expectations to deliver are increasing. To be financially sustainable, you not only need the resources to sustain, but the expertise to prosper when faced with the latest external pressures and mandates. Join us on January 22 in Ottawa and learn how to overcome the top challenges facing today's public sector professionals. This year's conference theme is Overcoming Obstacles, Developing Grit and Embracing Risk. Please make sure to reserve your room before this deadline to get the best rate.

Building a competent cybersecurity practice takes effective and intelligent cybersecurity solutions. When a layered strategy is combined with artificial intelligence and machine learning, businesses of all sizes can increase their resistance to attacks and breaches. Before getting started, it's essential to understand the role artificial intelligence and machine learning play in effective cybersecurity, as well has how they can help better protect clients and bolster profitability for MSPs.