The death toll from the coronavirus outbreak has risen to 170, and a confirmed case in Tibet means it has reached every region in mainland China.
Chinese health authorities said there were 7,711 confirmed cases in the country as of 29 January.
Infections have also spread to at least 15 other countries.
The World Health Organization (WHO) are again meeting in Geneva to consider whether the virus should be declared a global health emergency.
Various countries have implemented evacuation and quarantine plans for nationals wanting to return from China, where the outbreak began in the city of Wuhan.
Russia has decided to close its 4,300km (2,670-mile) far-eastern border with China in an attempt to stop contagion.
WHO Director-General Tedros Adhanom Ghebreyesus named Germany, Vietnam and Japan, as places where people had caught the virus from others who had visited China.
What's the latest on evacuations?
Voluntary evacuations of hundreds of foreign nationals from Wuhan are under way to help people who want to leave the closed-off city and return to their countries.
The UK, Australia, South Korea, Singapore and New Zealand are expected to quarantine all evacuees for two weeks to monitor them for symptoms and avoid any contagion.
Australia plans to quarantine its evacuees on Christmas Island, 2,000km (1,200 miles) from the mainland in a detention centre that has been used to house asylum seekers.
Singapore is setting up a quarantine facility on Pulau Ubin, an island north-east of the city-state's mainland.
Six thousand people on board a cruise ship in Italy were barred from disembarking after a Chinese passenger was suspected of having coronavirus; however initial tests have come back as negative
Flights to take British and South Korean citizens out of Wuhan have both been delayed after relevant permissions from the Chinese authorities did not come through
Two flights to Japan have already landed in Tokyo. Three passengers have so far tested positive for the virus, Japanese media report
Around 200 US citizens have been flown out of Wuhan and are being isolated at a military base in California for at least 72 hours
Two aircraft are due to fly EU citizens home with 250 French nationals leaving on the first flight
India has confirmed its first case of the virus - a student in the southern state of Kerala who was studying in Wuhan
How is China handling the outbreak?
Although questions have been raised about transparency, the WHO has praised China's handling of the outbreak. President Xi Jinping has vowed to defeat what he called a "devil" virus.
The central province of Hubei, where nearly all deaths have occurred, is in a state of lockdown. The province of 60 million people is home to Wuhan, the heart of the outbreak.
The city has effectively been sealed off and China has put numerous transport restrictions in place to curb the spread of the virus.
People who have been in Hubei are also being told by their employers to work from home until it is considered safe for them to return.
The virus is affecting China's economy, the world's second-largest, with a growing number of countries advising their citizens to avoid all non-essential travel to the country.
There have been reports of food shortages in some places. State media says authorities are "stepping up efforts to ensure continuous supply and stable prices".
The Chinese Football Association has announced the postponement of all games in the 2020 season.
Who has been affected?
Although there have been nearly 8,000 infections, there has been little detailed information released on the profiles of patients and how the disease affects them.
Most of the confirmed cases involve people either from Wuhan or who had close contact with someone who had been there.
Of the 425, 55% diagnosed before 1 January were linked to the seafood and animal market believed to be at the centre of the outbreak, compared with 8.6% of the subsequent cases
The average age was 59 years and 56% were men
Almost half the 425 cases were adults 60 years of age or older
Human-to-human transmission among close contacts has occurred since the middle of December
In its early stages, the epidemic doubled in size every seven days
89% of the patients were not hospitalised until at least day five of illness
Corona virus, which was started in a city in china in a illegal market is spreading its wings globally.
China has been reporting over 100 cases today officially.
What is the new coronavirus?
The virus causes severe acute respiratory infection and symptoms seem to start with a fever, followed by a dry cough. After a week, some people can experience shortness of breath and need hospital treatment.
The virus itself is a new, or "novel" coronavirus - a family that normally affects animals.
The effect of the coronavirus family on humans has long been observed mainly in the form of the common cold. In recent decades though, more serious coronaviruses - like Sars or Mers - have proven potentially deadly to humans.
Yet even in the cases of severe viruses most people infected were likely to fully recover just like they would from a normal flu.
On Tuesday, an expert at China's National Health Commission (NHC) said one week was sufficient for a recovery from mild coronavirus symptoms.
According to local media, the NHC also said the virus could infect children, but that their symptoms would be relatively mild.
Status up to now is as follows.
28th Jan 2020
China - 106 from BBC , pass 100 officially.
Eight cases: Thailand
Five: USA, Australia, Singapore, Taiwan
Four: Malaysia, South Korea, Japan
Three: France
Two: Vietnam
One: Nepal, Canada, Cambodia, Sri Lanka, Germany, Cambodia
AI is becoming a disruptive force that is redefining the modern industry. This article features some exciting applications of AI, along with a glimpse into the future, illustrating how AI will continue to transform industries and our lives.
Sophia, an AI-powered humanoid robot, meeting journalists (Credit: www.forbes.com)
Sophia, an artificial intelligence (AI) humanoid, was in the news recently for becoming the first robot ever to have a nationality. In October 2017, Sophia was granted Saudi Arabian citizenship. This AI-powered robot is famous for speaking at the United Nations, and interviewing celebrities and world leaders.
Sophia, developed by Hanson Robotics, is an example of the most sophisticated AI-powered robots built by humans in recent times. It can imitate human gestures, facial expressions, and make conversations in the form of answering certain questions and initiating discussions on predefined topics.
AI was founded as an academic discipline in 1956. Since then, AI techniques have become an essential part of the technology industry. Different types of AI-powered robots are being developed in different parts of the world, including the US, China, Japan, Korea and India. As per reports, two-thirds of global investments in AI poured into China. This led to the AI industry grow 67 per cent last year alone.
China developed its first human-like female robot called Jia Jia in 2016, at its University of Science and Technology. Then, there is Erica, a Japanese female robot created by Hiroshi Ishiguro Laboratories, who is considered the most beautiful robot in the world.
AI technologies
Latest AI technologies include natural language generation, speech recognition, virtual agents, machine learning, deep learning, biometrics and AI-optimised hardware. AI experts break AI down into three broad categories: artificial narrow intelligence (ANI), artificial general intelligence (AGI) and artificial super intelligence (ASI).
Sophia uses AI, visual data processing and facial recognition technology. Complex and intelligent algorithms and good sensory systems could make AI robots perform even better. With improved machine learning and deep learning algorithms, future AI could be much more efficient, powerful and smarter than the present ones.
Jia Jia, a humanoid robot displayed on an exhibition stage in Shanghai, China (Credit: www.chinadaily.com.cn)
Types of AI applications
There are many emerging applications of AI. You can find AI in robotics, healthcare, education, businesses and on your mobile devices, to name a few. We have narrowed down the list of AI applications to a few, each accompanied with a glimpse into the future, illustrating how AI will continue to transform industries and our lives.
Virtual assistants
These are basically software agents that provide a wide variety of services. Amazon Alexa, Google Assistant and Siri are some of the most popular AI assistants. Many virtual assistant software are now being installed in smartphones as well to serve you in a better way.
Internet applications
AI finds many useful applications in Internet-related technologies, such as digital marketing, creating and generating online content, digital advertising, Web searches, Web designs, chatbots, the Internet of Things (IoT) and others.
Digital marketing
This field has revolutionised modern businesses. While the amount of information on potential consumers grows, AI-related technology will be of utmost importance when making data-based decisions. AI helps find people and customers based on their interests, demographics and other aspects to learn and detect the best audience for particular brands.
Content creation
There are areas where content created by AI can be useful and help attract visitors to a website. AI can also write reports and news based on data and information. Hundreds of articles can be created with AI technology quickly, which can save a lot of time and resources.
Online searches
Old ways of performing online searches no longer stay true. Two use cases using AI that have revolutionised Internet searches and search engine optimisation (SEO) are voice search and Google’s algorithm called RankBrain. These have changed the way marketeers create and optimise their Web content.
Web designing
With AI, websites could exist without the help of programmers and designers. Applications, such as Grid, use AI to design websites based on the information provided by users like images, text, calls-to-action, etc. AI can make websites look professional in very little time and at a much lower cost.
Chatbots
Consumers are already using chatbots to chat with friends and colleagues without waiting for a long time for a response. Chatbots automate responses to potential buyers’ frequently asked questions and provide them a way to search for the product or service they are looking for.
Natural learning processing and machine learning techniques are used by these bots to find the correct responses. Many brands have started using these techniques to communicate with their prospective customers through messenger applications like Facebook Messenger, WhatsApp and Slack.
Cybersecurity
The main concern in today’s digital world is cybersecurity. Malware and virus attacks are common in the cyber world. There is a constant threat of data security to not just individuals or corporates but also government sectors. AI along with machine learning is used for the protection of data. AI allows you to automate the detection of threat and combat without the involvement of humans. AI has been used for password protection and authenticity detection.
The IoT
AI is used to manage huge data flows and storage in the IoT network. With high-speed Internet networks and advanced sensors integrated into microcontrollers (MCUs), AI along with the IoT is creating a new wave of disruptive technologies.
With the explosion of the IoT, there are problems regarding data storage, delay, channel limitation and congestion in networks. One solution to solve these is to use AI in data mining, managing and controlling the congestion in networks. Techniques used in AI include fuzzy logics and neural networks in conjunction with the IoT network.
Finance and economics
Wall Street, financial district of the US, uses complex computer programs to do heavy jobs. These programs run on their own. A few years ago, stock markets plummeted, taking down a trillion dollars worth of market value, due to a malfunctioning ANI program.
Also, for example, when you deposit a cheque using your mobile banking app, it runs through a refined ANI system that can read the cheque much faster than humans. When you shop online, you are essentially feeding data into ANI systems.
Art and design
AI has been used to algorithmically generate objects that can be rendered digitally. It can generate new patterns with high speed, good efficiency and verisimilitude. Algorithm-driven design tools help you construct user interfaces, content and personalise user experiences.
Publishing tools such as Readymag and Squarespace have greatly simplified the work to the extent where you can get many high-quality templates and designs without having to pay for a designer. There are many other algorithm-driven design tools for graphic design including identity, drawing and illustrations.
AI solution providers offer tools and libraries to manipulate images and photos. Soon, AI will drive the next generation of apps for visual arts and creative designs.
An AI model, called CRAFT (Composition, Retrieval and Fusion Network), is being developed by researchers from University of Illinois, USA, and Allen Institute for Artificial Intelligence, USA. It can convert provided text descriptions into video clips of an animated series. To simplify, AI matches videos with word descriptions, builds a set of parameters and generates scenes.
Exploration and research
Defense Advanced Research Projects Agency (DARPA), USA, is working on its Artificial Intelligence Exploration (AIE) programme, which is a key component of the agency’s broader AI.
AI in space exploration is gathering momentum, too. Over the next few years, new missions would be taken up by AI as we voyage to the Moon and the planets, and explore possibilities in Space. AI is also being used in NASA’s next rover mission to planet Mars.
National Geographic Society and Microsoft are partnering to explore how AI can help us understand, engage and protect Earth.
AI is helping the oil and gas industry to preserve the ecosystem while discovering new resources.
Robotics and AI have been replacing traditional research and exploration methods in ocean science and technology.
Education
AI is being used to improve education systems. Traditional techniques might be replaced by personalised, adaptive learning to tailor individual students’ strengths and weaknesses. Machine learning can be used to identify students and focus extra resources on weaker ones.
AI-based robo-readers are being used in essay grading in schools. The approach involves pairing human intelligence with AI to improve the overall grading system and help students accomplish more.
Automotive
ANI-assisted automotive technology is being employed in driverless cars. Recently, IBM developed an IoT for automotive—a program to eliminate driver errors through connectivity. Since many accidents are caused by human errors, researchers are trying to find ways to minimise human errors using AI algorithms.
In the future, your car is likely to have well-packaged complex computer programs. An automated vehicle uses AI, sensors and global positioning system coordinates to drive itself without a human operator.
Video games
You might already know about Deep Blue, IBM’s chess-playing supercomputer, which beat international grandmaster Garry Kasparov in the late 1990s.
Chinook, a program developed at University of Alberta, Canada, can beat any human player at the game of checkers. There is also a computer program called Maven for scrabble game. These are perfect examples of AI.
More recently, AlphaZero, an ANI developed by DeepMind, won 100 games in a row against the world’s current best chess program.
Almost every modern video game has an AI component. Video game reviews are based on the quality of AI.
Healthcare
A new type of AI algorithm is being used by Google’s Medical Brain to make predictions about the likelihood of death among hospital patients. This technology is the latest attempt to revolutionise healthcare. AI programs are being developed and used in diagnoses, treatments, drug development, and patient monitoring and care.
Today, most doctors use ANI programs. These assist doctors in accurately diagnosing cancer and various other diseases. Then, there is a robot chemist that uses machine learning to study new molecules and reactions.
Military
AI and robotics are enabling new military capabilities and strategies including intelligence, surveillance and even nuclear weapon systems. AI is used in autonomous weapons and sensing systems.
There is a lot of military AI research and development going on around the world to keep fast-paced advances in machine learning.
India and AI
As per a report by Accenture, AI holds the potential to add US$ 957 billion or 15 per cent of India’s current gross value by 2035.
Union Budget 2018 announcements include national programmes to conduct research and development on technologies like machine learning, AI and others.
NITI Aayog, the nation’s think-tank and premier policy-making body, is working on new technologies for the development of the economy.
The government is working on AI initiatives to put India on the global map with regards to AI, and to promote it in health, education and agricultural sectors.
India-made Miko by Emotix, a companion robot, is an example of technologies that incorporate AI. Miko engages, educates and entertains children besides talking to and playing games with them. It is equipped with answers to basic questions related to general knowledge and academics.
There is a humanoid robot called Rashmi, developed recently in India. It is the first Hindi-speaking robot who is hosting a show on Red FM since December 2018.
Miko, a companion robot (www.amazon.in)
The way forward
AI is becoming a disruptive force that is redefining modern industry. Importance of AI technology is being felt across a broad spectrum of industries. From voice-powered personal assistants like Alexa to technologies such as behavioural algorithms, suggestive Internet search algorithms and autonomous vehicles, there is a lot of scope for applications of AI today. Robots built to look and act like humans are getting a lot of attention, and making splashy headlines and appearances.
As far as India is concerned, initiatives by the government and its roadmap for national AI programmes along with private players are expected to bring a revolution to the Indian industry.
AI is still in the developing stages. The market is not easily quantifiable and yet there are plenty of opportunities available for AI. There is hope that AI applications will keep serving humans in the most beneficial way going forwards.
Australian Prime Minister Scott Morrison secured the votes needed to enact the most sweeping changes to the nation’s tax system in more than a decade, delivering a major legislative victory for his newly elected government and injecting stimulus into the slowing economy.
Four independent and minor-party senators on Thursday indicated they will support the legislation, meaning it’s set to become law in an upper house vote later in the day. That will bring A$158 billion ($111 billion) of income tax relief to more than 10 million workers and fulfill a pledge that was the cornerstone of Morrison’s bid for re-election in the May 18 ballot.
“Today there’s very good news for millions of working Australians who will get to keep more of their own money,” Finance Minister Mathias Cormann told reporters in Canberra on Thursday. He thanked the four senators for their support of the bill.
The cuts will be phased in and by 2024-25, new streamlined brackets will ensure 94% of Australians pay 30% income tax or less. The package includes immediate rebates of as much as A$1,080 for low- and middle-income earners, a much-needed sugar hit for the faltering economy that will be welcomed by the central bank.
Beyond the tax cuts and previously announced infrastructure spending, the policy agenda for the third-term government looks thin, other than tackling red tape and a review industrial relations laws to crack down on union corruption. Reserve Bank of Australia Governor Philip Lowe is urging the government to consider stronger action including increased infrastructure investment and structural reforms.
“There are options other than monetary easing for putting us on a better path,” Lowe said on Tuesday after the central bank cut interest rates to a record-low 1%. “We will achieve better outcomes for society as a whole if the various arms of public policy are all pointing in the same direction.”
Lowe’s sense of urgency has been stoked by a litany of data that shows Australia is on track to record its weakest fiscal year since the last recession in 1991, dragged down by record household debt, moribund wages and two years of tumbling housing prices.
The Labor opposition is calling for the government to speed up the cuts instead of waiting until 2022-23, while there are concerns a loss in tax revenue may result in less spending on public services, especially if economic conditions further deteriorate.
The legislation ensures the top income tax rate of 45% kicks in at A$200,000 instead of the current A$180,000, and removes the 32.5% rate. By 2024-25, there will be three brackets:
Tax Rate
Salary Bracket
Workers in Band
19%
Up to A$45,000
24%
30%
A$45,001-A$200,000
70%
45%
Over A$200,000
6%
The Australian Council of Social Service, a group that lobbies for poverty reduction, welcomed the immediate rebate, which will see those earning between A$48,000 and A$90,000 getting A$1,080 of relief.
Still, in a statement earlier this week, it labeled the long-term tax cuts as “too expensive, too risky, too unfair, and too late.”
While six independent and minor party lawmakers collectively hold the balance of power in the Senate, the government only needs to win the support of four of them to pass legislation following the election. By the end of the last parliament, it had to court eight of the 10 so-called cross-benchers.
Hiring for culture fit can seem like a mystery, but these 4 interview questions will help you get it right every time.
If there's one thing that keeps every founder up at night, it's hiring. Hiring the best talent is a massive and never-ending challenge. It's hard to hire your first employee, it's hard to hire your 50th employee, and it's still hard to hire your 500th employee. If you're just starting your company, you may as well get over the fact that you'll likely lose sleep over hiring.
If you've read anything about hiring best practices, you've probably read about hiring for culture fit. This isn't an article about convincing you to hire on the basis of culture fit. This is an article on how to actually do that. While every company has a different culture, there are four questions that will help you identify if a candidate is a good culture fit, no matter where your company falls on the culture spectrum.
In my role as CEO of Triplemint, I've hired more than 100 people, therefore my co-founder and I have interviewed close to 1,000 (admittedly, with all the lost sleep over the challenges of hiring, I didn't keep track of the exact number of interviews I've conducted). I've made great hires who were a near-perfect culture fit, and I've made less-than-stellar hires who ultimately didn't work out. There is no such thing as batting a thousand with hiring. You're going to make mistakes no matter how good you are at it. That said, in my personal experience I've found these four questions to be hugely helpful in determining culture fit.
1. How did the culture at your last company empower or disempower you?
This is a really interesting question, because it will get candidates talking about their previous company through the lens of how they were affected by the company's culture. Getting candidates to talk about their past employer can be very telling. Do they openly throw the company under the bus? Do they recognize the positives even though it ultimately didn't work out?
Asking specifically about the culture of their last company also tells you a lot about how they view the importance of culture. Their response will tell you if they've thought a lot about company culture or if they don't really know what it is. The question will also reveal how they think they are empowered or disempowered, which will give you a look into their motivations.
2. What were the characteristics of the best boss you've ever had?
I like this question as a follow-up to the culture question, because it's somewhat similar but from a different angle. If you didn't get a sense for a candidate's view on culture and what motivates him or her, you likely will from this question.
Did the candidate thrive under a boss who was extremely direct and valued performance above all else? Did he or she thrive under a boss that put as much emphasis on communication and interpersonal skills as results within the role?
3. Describe how you handled a conflict with one of your co-workers.
It's always helpful to ask candidates about how they dealt with a conflict. As people, we tend to be more open and honest when recalling a specific event versus describing characteristics about ourselves. Understanding what the candidate perceives as a "conflict with a co-worker" will likely reveal information about the person's level of self-awareness.
Understanding how someone dealt with a conflict will also give you insights into what he or she perceives as a reasonable and positive response to a conflict. No matter how wonderful your culture is, conflicts will arise. How your team deals with conflicts is the true test of your culture.
4. What kind of feedback do you expect to receive in this role and how often do you expect to receive it?
Understanding a candidate's desire or hesitation to receive feedback tells you a lot about the person's expectations. The frequency and type of feedback that is shared within a company tends to be highly correlated to culture.
Does the candidate expect feedback to be tied to core values? Does the person think feedback is only about performance in the role? Does he or she see feedback as a once-a-year HR formality or as part of a constant process of growth and improvement?
Containers, cloud, fast networking and IoT still top IT trends
From containers and faster networking to IoT and edge computing, these trends continue to define the role of IT pros in future data centers and the skill sets they need to hone.
ORLANDO, Fla. -- IT professionals have a tall order to fill. They must keep applications running as they evaluate new technology in preparation for whatever the future brings.
At Gartner's IT Operations Strategies and Solutions Summit here this week, Gartner analyst David Cappuccio summarized the top IT trends of the year. While not necessarily new, these 10 trends have an increasing impact on IT teams and the data center.
Data centers are disappearing. Traditional, on-premises data centers have faded, as companies provision business workloads using more efficient and cost-effective alternatives. Today, about 80% of business workloads run on premises, while the remaining 20% are in a cloud or an outsourced facility, Cappuccio said. By 2021, local workloads drop to about 20% to 25%, and the majority of workloads will run in the cloud or otherwise off premises.
Data centers will be interconnected. Connectivity is a hallmark of modern data center technology, but the growth of cloud and other off-premises facilities will spawn even tighter levels of connectivity using fiber links for high-speed, long-distance connectivity. Future interconnects will merge data centers and resources in a manner that more closely resembles peer-to-peer networks. The idea puts public cloud and software-as-a-service (SaaS) provider connectivity performance and resilience on par with on-premises private compute and storage resources, and it provides flexibility and agility on a grander scale.
Containers change applications. Containers continue to be one of the top IT trends in the enterprise. This is because they enable new forms of application development and deployment that would be impossible with even virtualized data centers. While this offers fertile ground for developers, IT professionals must implement and support containers, as well as address new management issues related to their use, such as governance, software licensing and so on. Containers can have a life span of milliseconds, which requires a solid infrastructure to create, monitor, manage and destroy containers, while organizing and tracking all of the resources used to operate them.
IT drives the business. Business leaders understand the need for IT and the role of IT services in the business, but the days of in-house IT dictating the applications, services and other technologies used by business units are over. The rapid growth of public cloud, SaaS and other competitive services has put traditional IT models on the defensive. There is no longer a need to wait for IT to assess, recommend or deploy services and workloads when effective options can be engaged faster, and with less hassle, within lines of business. Cappuccio said more than 20% of business IT spend is currently outside of IT control, which forces IT to innovate and compete to keep its seat at the table. Part of the answer is for IT to rethink its role as a service enabler and broker, rather than a sole source of enterprise IT.
Data centers will increasingly be a service. The notion of data center as a service (DCaaS) has gained traction, as businesses refocus away from infrastructure toward applications. But the choice of cloud, outsourcing, SaaS, PaaS, human resources as a service and even DCaaS is not an all-or-nothing proposition. One delivery model will probably not support all of an organization's needs, and teams will likely employ multiple models to meet different goals.
Stranded capacity must be identified and reduced. Stranded or orphaned capacity is certainly not new -- consider VM sprawl -- but the speed and agility offered by modern computing models make sprawl problems much more pronounced and potentially expensive. Twenty-eight percent of compute instances are now ghost servers -- instances that run and consume resources, but deliver no value to the business, Cappuccio said. Forty percent of racks are underprovisioned, servers are performing at just 32%, and 40% of storage provisioned is more than required. This all translates to wasted resources that cost the organization money.
IoT is still emerging. The internet of things (IoT) has quickly become one of the top IT trends, able to collect and transform tremendous amounts of data into unmatched insights for sales, process control and analysis. But the actual devices and software stack used in IoT deployments are still being defined. IoT devices can provide fast time to market, with prebuilt functionality, high scalability, vendor support and a reasonably complete vendor ecosystem. But IoT remains fraught with challenges due to its overall expense to install, product immaturity and a lack of standards overall.
Remote devices must be managed. Where IoT poses challenges for selection, deployment and storage, it also requires IT teams to manage remote devices -- all of those "things" -- which can pose a serious logistical challenge. IT staff must install and configure, operate and maintain, and then replace or retire every remote device in the environment. This might include tracking details, like battery replacement dates, IP addresses and even physical locations. Even device audits might be required periodically.
Micro and edge computing deserves attention. Instead of investing in more expensive network bandwidth, many organizations deploy small-scale compute and storage resources closer to the location of the actual work -- a strategy known as edge computing.
For example, a remote industrial site that compiles varied sensor data could deploy a small-scale computing infrastructure at or near the site to collect and even preprocess the data. It then performs some preliminary normalization and analytics before sending results to the main data center. Still, such remote or edge computing efforts pose other problems, such as resilience and maintenance. Organizations must consider the requirements and vulnerabilities of a remote computing platform.
Look ahead to new IT roles. These top IT trends, and the changing relationship between business and IT, have spawned new IT roles. While a single organization probably won't realize all of these new roles, chances are that one or more will gain acceptance over the next few years.
An IoT architect will select and implement the components of an IoT system to ensure proper management and integration with other data center infrastructure and software.
A cloud sprawl specialist will monitor resource usage in the public and private cloud to right-size resources and implement and enforce policies that minimize waste.
A strategy architect will review existing infrastructure and offer guidance to optimize infrastructure that best accommodates business goals, and identify the technologies needed to achieve them.
A capacity and resource specialist will analyze and forecast resources for the business to identify and use cost-effective alternative resources when possible.
A broker and provider specialist will identify business services from a wealth of potential providers to guide the business to cost-effective services that can integrate with other business platforms.
And, finally, a performance and end-to-end specialist will focus on application performance management to ensure workloads operate at peak effectiveness and user satisfaction.
From:
Stephen J. Bigelow is the senior technology editor of the Data Center and Virtualization Media Group. He can be reached at sbigelow@techtarget.comand @DatacenterTT.
