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Six digital transformation trends to watch in 2021


One of the biggest lessons Australia and New Zealand business leaders can take from the past 12 months is that a climate of uncertainty is now the new normal. The shift in customer behaviour brought about by the COVID-19 pandemic, coupled with rapid information technology changes, has already presented significant challenges. As a result, many organisations have had to bring forward their digital transformation plans and complete projects in weeks or months rather than years. During 2021, CIOs will have to work throughout their organisations and apply digital technologies and data to unlock new business opportunities. They must also work to promote a growth mindset that will help to unlock fresh innovation and agility. Adopting such a growth mindset will require CIOs and IT teams to embrace six key trends during the coming 12 months.

AI partnership to enhance RF systems and data analysis - Military Embedded Systems


Northrop Grumman Corporation has announced that the company is on track to begin collaborating and investing in Deepwave Digital with the intent to support research, development, and integration of artificial intelligence (AI) technologies. According to the company, this partnership will aim to improve communications processing power for next-generation capabilities for defense customers. "We're evolving the way we think and the way we work, to use emerging commercial technologies to provide our warfighters the most advanced capabilities more quickly," said Chris Daughters, vice president of research, technology and engineering, Aeronautics Systems, Northrop Grumman. Throughout the year, the Congressional Research Service has been updating the document "Artificial Intelligence and National Security" to include arguments encouraging defense manufacturers to foster strategic partnerships with the private sector, especially when developing AI technologies. The goal is to combat the gradual speed at which the Department of Defense has been adopting and implementing AI policy in contrast to how quickly the commercial industry is moving.

Decision-Making in the era of AI


The term AI has been around for nearly 70 years, but it is only nowadays that AI is profoundly affecting and changing the way we live, work, interact and play. AI is on an unstoppable journey toward revolutionizing and disrupting diverse industries, and business leaders are embracing this trend with enthusiasm . So, why haven't we seen the rise of AI much earlier and is AI here to stay this time? Or is AI yet another new technology riding the hype wave? How can AI help us become better decision-makers? Many researchers agree with Larry Tesler (a computer scientist who invented copy-paste while working at Xerox and worked on human-machine interaction) that "AI is anything that hasn't been done yet!".

Real-Time AI Powered Trends Business Can't Survive Without in 2021


Although there are many good reasons to remember year 2020, but we have to accept the sad reality i.e. COVID-19 as well which is the major downside of same year. The best parts are the automation and the enhancement of customer experience through Companies are getting advanced in many ways to provide tailored and elegant solutions. Technologies like 5G (6G and Quantum computing are little far for now), cutting-edge medical diagnostics systems, real-time -powered e-commerce, consumer electronics, and smart personal assistants are few examples. 's bundle of joy (Machine learning and its advancement to and neural network) as horizontal scaling techniques have taken almost every other businesses and technology to the next level.

New hybrid architectures are unlocking the power of data and AI (VB Live)


To stay on top of AI innovation, it's time to upgrade to next-gen architecture. Join this VB Live event to learn how cutting-edge computer architecture can unlock new AI capabilities, from common use cases to real-world case studies and more. "Everybody's heard a lot about big data over the last decade," says Alan Lee, corporate vice president and head of research and advanced development at AMD. "Put differently, what are we going to do with all this data? How can we use it for the betterment of mankind, business, individuals, and so on?" All that data needs to be handled or manipulated in some way.

A Unified Model for the Two-stage Offline-then-Online Resource Allocation Artificial Intelligence

Furthermore, upon the arrival of any online agent, we have to decide quickly and irrevocably which offline agent(s) to With the popularity of the Internet, traditional offline match it with. That is mainly due to the low "patience" of resource allocation has evolved into a new the online agents. These features--online arrivals and the form, called online resource allocation. It features real-time decision-making requirement--distinguish OMMs the online arrivals of agents in the system and the from traditional matching markets where the information of real-time decision-making requirement upon the arrival all agents is fully disclosed in advance. of each online agent. Both offline and online OMMs have received significant interest in both computer resource allocation have wide applications in science and operations research communities. There is a various real-world matching markets ranging from large body of research work who studied matching policy ridesharing to crowdsourcing. There are some design for the profit maximization in ridesharing [Ashlagi emerging applications such as rebalancing in bike et al., 2019; Lowalekar et al., 2018; Bei and Zhang, 2018; sharing and trip-vehicle dispatching in ridesharing, Zhao et al., 2019; Dickerson et al., 2018a; Li et al., 2020], which involve a two-stage resource allocation process.

NAB partners with credit risk AI specialist


National Australia Bank (NAB) has signed an agreement with artificial intelligence (AI) specialist Rich Data Corporation to use its AI prediction and decisioning capability software Delta. Under the agreement, NAB would use Delta's credit risk management capability, which links traditional and alternative data sources to provide prediction and credit decisions, for its SME customers with little or no credit history or who might fall outside traditional credit bureau criteria. The capability will also use analytics and monitoring tools to identify portfolio risks and opportunities to support businesses that experience major change from events like the coronavirus pandemic. Commenting on the partnership with Rich Data Corporation, NAB executive innovation and partnerships Howard Silby said: Their Delta platform will enable us to innovate and accelerate our lending options, leveraging alternative data and AI techniques and providing a means to assess SMEs who fall outside traditional credit models. "We remain committed to finding new ways to serve and meet the needs of our small-business customers, as we pioneered with our NAB QuickBiz offering in 2016 and several innovations since."

RAN automation: Software enablers for next-gen RAN


Used correctly, these techniques have tremendous potential to overcome complex cross-domain automation challenges in radio networks. Our ongoing research reveals that an integrated framework of software enablers will be essential to success. Modern telecommunications and mobile networks are becoming increasingly complex from a resource management perspective, with diverse combinations of software and infrastructure elements that need to be configured and tuned for efficient operation with high QoS. The latest 5G mobile system is a good example of a sophisticated radio network that allows many deployment variations – such as centralized, distributed or various hybrids of both – while simultaneously supporting diverse categories of applications such as mission-critical control with ultra-reliability and low latency, massively concurrent Internet of Things device access and enhanced mobile broadband. It is well accepted in the communications community that appropriately dimensioned, efficient and reliable configurations of systems like 5G are a complex technical challenge.

Appliance-Level Monitoring with Micro-Moment Smart Plugs Artificial Intelligence

Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry and the research community. However, there is an ever increasing need for comprehensive, end-to-end solutions aimed at transforming human behavior rather than device metrics and benchmarks. In this paper, a micro-moment-based smart plug system is proposed as part of a larger multi-appliance energy efficiency program. The smart plug, which includes two sub-units: the power consumption unit and environmental monitoring unit collect energy consumption of appliances along with contextual information, such as temperature, humidity, luminosity and room occupancy respectively. The plug also allows home automation capability. With the accompanying mobile application, end-users can visualize energy consumption data along with ambient environmental information. Current implementation results show that the proposed system delivers cost-effective deployment while maintaining adequate computation and wireless performance.

How AI is Transforming Software Development - ReadWrite


As bright minds with unique ideas embrace and involve in an industry and trending technologies, radical transformation is inevitable. According to a recent survey, AI tools globally are expected to reach US$119 Billion by 2025. Tech giants are embracing AI to build innovative software to be future-ready. Let's find out more about how AI is influencing and making its mark in the custom software development process. Experts say 80% of large enterprises have invested in AI.