In this day and age, a company’s data is its business. MARK BREGMAN, SVP and CTO at NetApp gives six predictions on what businesses and users can expect from the ever-evolving data space in the coming year.
The explosion of data in today’s digital economy has resulted in a fundamental shift from using data to run the business to recognising that data is the business. In an era where data is king, superior data management and storage in the hybrid cloud become paramount. NetApp gives six predictions on what businesses and users can expect from this ever-evolving space in the coming year.
- Data is the new currency
These days, poor access to data can impact heavily on a company’s success. With data so valuable to success, it has become the new currency of the digital age and has the potential to reshape every facet of the enterprise, from business models to technology and user expectations. We’ve seen this in the emergence of game-changing digital businesses like Uber and Airbnb, which are built around the control of a network of resources.
To make things even more interesting, we continue to see new types of data that enterprises didn’t previously think about collecting. For example, whereas we used to store and share only critical transactional data, we now store mass amounts of ancillary data surrounding transactions for deep analysis. This can include click stream data and even data about weather and other external factors, which can significantly enhance market insight for businesses.
- New IT models are taking hold
The focus on data requires a universe of services that can integrate and work together to solve critical problems of all types and simplify delivery. This will require the support of platforms and an ecosystem of providers and developers that enables them. In this context, the platform model carries intrinsic value in its ability to integrate and simplify the delivery of services. A good example of this is Amazon Web Services, which continues to evolve into a richer and richer set of services all the time. Platforms create a virtuous cycle, as does a good flea market: people go there to buy because that’s where people are selling; sellers go there to sell because that’s where the buyers are.
As access to critical skills is becoming more challenging, broad-based platforms allow a more fluid flow of talent as expectations from both employees and employers shift. People with specialised skills are attracted to projects they find interesting and the ubiquity of common platforms and tools makes it easier to engage their interests.
- The cloud as catalyst and accelerator
More and more organisations have been deploying cloud technologies to support their data requirements. Customers who are focused on optimising performance while reducing costs are finding that usage-based consumption models meet all their needs. The ready availability of cloud-based services provides easy access to the infrastructure needed to support innovation because it has dramatically lowered barriers to entry: with a credit card and an AWS account, new projects can be set up in a day and operate on a pay-as-you-go basis.
An example of this is CloudSync, which was built by six engineers in six months with no capex infrastructure. New usage-based consumption models, based on Platform as a Service combined with new scale, compliance and data protection offerings, are making cloud infrastructure more essential for businesses of all sizes.
- New technologies are becoming the standard
All of these business drivers will ultimately lead to the dominance of new technologies, particularly in the form of new application paradigms, which will reduce friction in business change and movement of talent. We’ve seen this emerge in the form of today’s DevOps movement, where compositional programming based on micro services and mashups, open source have taken hold. Currently, these are considered niche solutions, but as the value of data becomes more critical to business and the pace of innovation becomes an even more crucial competitive weapon, they will quickly move into the mainstream. Historic parallels include the emergence of Ethernet as a networking standard and Linux as a standard operating system.
- A wider, dynamic range of storage and data management technologies evolves
As IT architectures evolve to accommodate new cloud infrastructure and new applications, a wider, dynamic range of storage technologies will also emerge. We’ve witnessed how flash storage has quickly gained in popularity offering incredible efficiency and performance. Likewise, hyper-converged infrastructure (HCI) is one of the new IT architectures that addresses the critical demand for simplicity and reduces the need for administrative resources to manage storage. While the first wave of HCI solutions have done that well, they have not addressed additional requirements for flexibility and scalability. Building web-scale infrastructure will call for the flexibility to adapt the ratio of compute to storage according to the need, enable the upgrade of compute and storage separately, and scale easily and cost effectively.
Expect the next wave of HCI solutions to leverage what we’ve learned from converged infrastructure to deliver web-scale converged infrastructure that meets these requirements. We also see the build out of higher bandwidth networks to manage the movement of large volumes of data. On the horizon, storage technologies such as archive class storage and massive persistent memory are next in line for adoption. The rapid development of easy and accessible data management services will allow for easier deployment of these emerging technologies.
- Consumeriation of IT persists
Perhaps most profound is the change in user expectations of iPhone-like simplicity and self-management and the integration of applications and services. These expectations are affecting development across all technologies in storage and data management. User experiences with mobile app simplicity in a wide variety of forms has raised expectations for the usability and simplicity of data management software. From a business standpoint, companies are demanding this simplicity because it will enable them to use less expensive resources to manage their data while giving them greater access and use of their data as a critical business asset.
Prepare your cam to capture the Blood Moon
On 27 July 2018, South Africans can witness a total lunar eclipse, as the earth’s shadow completely covers the moon.
Also known as a blood or red moon, a total lunar eclipse is the most dramatic of all lunar eclipses and presents an exciting photographic opportunity for any aspiring photographer or would-be astronomers.
“A lunar eclipse is a rare cosmic sight. For centuries these events have inspired wonder, interest and sometimes fear amongst observers. Of course, if you are lucky to be around when one occurs, you would want to capture it all on camera,” says Dana Eitzen, Corporate and Marketing Communications Executive at Canon South Africa.
Canon ambassador and acclaimed landscape photographer David Noton has provided his top tips to keep in mind when photographing this occasion. In South Africa, the eclipse will be visible from about 19h14 on Friday, 27 July until 01h28 on the Saturday morning. The lunar eclipse will see the light from the sun blocked by the earth as it passes in front of the moon. The moon will turn red because of an effect known as Rayleigh Scattering, where bands of green and violet light become filtered through the atmosphere.
A partial eclipse will begin at 20h24 when the moon will start to turn red. The total eclipse begins at about 21h30 when the moon is completely red. The eclipse reaches its maximum at 22h21 when the moon is closest to the centre of the shadow.
David Noton advises:
- Download the right apps to be in-the-know
The sun’s position in the sky at any given time of day varies massively with latitude and season. That is not the case with the moon as its passage through the heavens is governed by its complex elliptical orbit of the earth. That orbit results in monthly, rather than seasonal variations, as the moon moves through its lunar cycle. The result is big differences in the timing of its appearance and its trajectory through the sky. Luckily, we no longer need to rely on weight tables to consult the behaviour of the moon, we can simply download an app on to our phone. The Photographer’s Ephemeris is useful for giving moonrise and moonset times, bearings and phases; while the Photopills app gives comprehensive information on the position of the moon in our sky. Armed with these two apps, I’m planning to shoot the Blood Moon rising in Dorset, England. I’m aiming to capture the moon within the first fifteen minutes of moonrise so I can catch it low in the sky and juxtapose it against an object on the horizon line for scale – this could be as simple as a tree on a hill.
- Invest in a lens with optimal zoom
On the 27th July, one of the key challenges we’ll face is shooting the moon large in the frame so we can see every crater on the asteroid pockmarked surface. It’s a task normally reserved for astronomers with super powerful telescopes, but if you’ve got a long telephoto lens on a full frame DSLR with around 600 mm of focal length, it can be done, depending on the composition. I will be using the Canon EOS 5D Mark IV with an EF 200-400mm f/4L IS USM Ext. 1.4 x lens.
- Use a tripod to capture the intimate details
As you frame up your shot, one thing will become immediately apparent; lunar tracking is incredibly challenging as the moon moves through the sky surprisingly quickly. As you’ll be using a long lens for this shoot, it’s important to invest in a sturdy tripod to help capture the best possible image. Although it will be tempting to take the shot by hand, it’s important to remember that your subject is over 384,000km away from you and even with a high shutter speed, the slightest of movements will become exaggerated.
- Integrate the moon into your landscape
Whilst images of the moon large in the frame can be beautifully detailed, they are essentially astronomical in their appeal. Personally, I’m far more drawn to using the lunar allure as an element in my landscapes, or using the moonlight as a light source. The latter is difficult, as the amount of light the moon reflects is tiny, whilst the lunar surface is so bright by comparison. Up to now, night photography meant long, long exposures but with cameras such as the Canon EOS-1D X Mark II and the Canon EOS 5D Mark IV now capable of astonishing low light performance, a whole new nocturnal world of opportunities has been opened to photographers.
- Master the shutter speed for your subject
The most evocative and genuine use of the moon in landscape portraits results from situations when the light on the moon balances with the twilight in the surrounding sky. Such images have a subtle appeal, mood and believability. By definition, any scene incorporating a medium or wide-angle view is going to render the moon as a tiny pin prick of light, but its presence will still be felt. Our eyes naturally gravitate to it, however insignificant it may seem. Of course, the issue of shutter speed is always there; too slow an exposure and all we’ll see is an unsightly lunar streak, even with a wide-angle lens.
On a clear night, mastering the shutter speed of your camera is integral to capturing the moon – exposing at 1/250 sec @ f8 ISO 100 (depending on focal length) is what you’ll need to stop the motion from blurring and if you are to get the technique right, with the high quality of cameras such as the Canon EOS 5DS R, you might even be able to see the twelve cameras that were left up there by NASA in the 60’s!
How Africa can embrace AI
Currently, no African country is among the top 10 countries expected to benefit most from AI and automation. But, the continent has the potential to catch up with the rest of world if we act fast, says ZOAIB HOOSEN, Microsoft Managing Director.
To play catch up, we must take advantage of our best and most powerful resource – our human capital. According to a report by the World Economic Forum (WEF), more than 60 percent of the population in sub-Saharan Africa is under the age of 25.
These are the people who are poised to create a future where humans and AI can work together for the good of society. In fact, the most recent WEF Global Shapers survey found that almost 80 percent of youth believe technology like AI is creating jobs rather than destroying them.
Staying ahead of the trends to stay employed
AI developments are expected to impact existing jobs, as AI can replicate certain activities at greater speed and scale. In some areas, AI could learn faster than humans, if not yet as deeply.
According to Gartner, while AI will improve the productivity of many jobs and create millions more new positions, it could impact many others. The simpler and less creative the job, the earlier, a bot for example, could replace it.
It’s important to stay ahead of the trends and find opportunities to expand our knowledge and skills while learning how to work more closely and symbiotically with technology.
Another global study by Accenture, found that the adoption of AI will create several new job categories requiring important and yet surprising skills. These include trainers, who are tasked with teaching AI systems how to perform; explainers, who bridge the gap between technologist and business leader; and sustainers, who ensure that AI systems are operating as designed.
It’s clear that successfully integrating human intelligence with AI, so they co-exist in a two-way learning relationship, will become more critical than ever.
Combining STEM with the arts
Young people have a leg up on those already in the working world because they can easily develop the necessary skills for these new roles. It’s therefore essential that our education system constantly evolves to equip youth with the right skills and way of thinking to be successful in jobs that may not even exist yet.
As the division of tasks between man and machine changes, we must re-evaluate the type of knowledge and skills imparted to future generations.
For example, technical skills will be required to design and implement AI systems, but interpersonal skills, creativity and emotional intelligence will also become crucial in giving humans an advantage over machines.
“At one level, AI will require that even more people specialise in digital skills and data science. But skilling-up for an AI-powered world involves more than science, technology, engineering and math. As computers behave more like humans, the social sciences and humanities will become even more important. Languages, art, history, economics, ethics, philosophy, psychology and human development courses can teach critical, philosophical and ethics-based skills that will be instrumental in the development and management of AI solutions.” This is according to Microsoft president, Brad Smith, and EVP of AI and research, Harry Shum, who recently authored the book “The Future Computed”, which primarily deals with AI and its role in society.
Interestingly, institutions like Stanford University are already implementing this forward-thinking approach. The university offers a programme called CS+X, which integrates its computer science degree with humanities degrees, resulting in a Bachelor of Arts and Science qualification.
Revisiting laws and regulation
For this type of evolution to happen, the onus is on policy makers to revisit current laws and even bring in new regulations. Policy makers need to identify the groups most at risk of losing their jobs and create strategies to reintegrate them into the economy.
Simultaneously, though AI could be hugely beneficial in areas such as curbing poor access to healthcare and improving diagnoses for example, physicians may avoid using this technology for fear of malpractice. To avoid this, we need regulation that closes the gap between the pace of technological change and that of regulatory response. It will also become essential to develop a code of ethics for this new ecosystem.
Preparing for the future
With the recent convergence of a transformative set of technologies, economies are entering a period in which AI has the potential overcome physical limitations and open up new sources of value and growth.
To avoid missing out on this opportunity, policy makers and business leaders must prepare for, and work toward, a future with AI. We must do so not with the idea that AI is simply another productivity enhancer. Rather, we must see AI as the tool that can transform our thinking about how growth is created.
It comes down to a choice of our people and economies being part of the technological disruption, or being left behind.