Cloud technology is gaining traction as more Internet enabled devices become available. But the key to a successful cloud deployment is how it is managed and which processes are hosted in the cloud and which are kept locally, writes JOHAN SCHEEPERS of CommVault.
While cloud technology gains traction through the big data boom, IT leaders question how they can maximise value from cloud computing while still maintaining data security and control. The data growth we are experiencing continues to escalate in volume and complexity, particularly when data is streaming in from millions of new internet enabled devices, virtualised machines and cloud enabled business-critical applications.
Although the cloud has been around for a few years now, organisations are only recently starting to understand what level of cloud adoption makes sense for their business needs. The cloud has also gone through significant developments, with Hybrid models becoming the favoured approach to enable organisations to benefit from the agility offered from public clouds, while maintaining control of sensitive data on-premise.
A hybrid approach to cloud
Planning a journey to the cloud, whether private, public or both is daunting for all organisations. There is the promise of greater business agility and low upfront investment, however if not handled systematically and driven by insights gleaned from your data, it can actually increase cost and complexity. Some organisations are experiencing issues ranging from egress costs to wasteful utilisation, to complex and siloed management. By starting with insights from your data you can better understand which workloads and applications are most appropriate for a public or private cloud or on-premise hosting, and deploy a successful Hybrid model.
Having an on-premises, private infrastructure directly accessible means not having to go via the public internet for everything, which can greatly reduce access time and latency in comparison to public cloud services. The hybrid cloud model offers organisations on-premises computational and storage infrastructure for processing data that requires extra speed or high availability for your business. This is combined with the benefits of the public cloud where a workload may exceed the computational power of the private cloud component.
Expanding the private component of a hybrid cloud also allows for flexibility in virtual server design. Organisations can automate the entire virtual machine lifecycle to archiving older VM’s to the cloud.
Another benefit of the hybrid model is the increased connectivity and collaboration offered to employees – which can often be a challenge in today’s digital world. The ability for teams to easily and securely share files should be coupled with the integration of remote workers into core business processes, such as internal messaging, scheduling, edge protection (laptops, tablets, etc), business intelligence and analytics.
Although the benefits are clear for adopting a Hybrid approach it can still be difficult to know where to start. CIOs need to look at how they can introduce a Hybrid model that delivers deeply integrated cloud automation and orchestration tools, ensuring compatibility across cloud solutions and on-premise infrastructure. It is recommended that organisations look towards a low risk, high value first step to the cloud through disaster recovery. And particularly in India, our service provider partners are seeing strong demand for Disaster-Recovery-as-a-Service and Backup-as-a-Service, as a clear entries into the cloud for businesses.
The hybrid environment is fast emerging as the norm for many CIOs. However the key to successfully deploying a hybrid cloud model is by understanding which workloads and applications are most appropriate for which hosting, and leveraging a single integrated console with an enterprise-wide view of data across these infrastructures. This will mean that IT leaders can better control where to process data and maximise cost savings by identifying reasonable spend in relation to the value that data offers to the business.
The spending shift – from Capex to Opex
While cloud computing offered promises of cost savings, increasingly we are seeing headlines like this from the Wall Street Journal: “The Hidden Waste and Expense of Cloud Computing“ or from CFO Mag: “Cloud Computing’s Wasteland“. So what’s actually happening?
Due to a lack of controls to help track and manage utilisation, businesses are being faced with unexpected costs, typically from an unusually large bill from their cloud provider after cloud instances are left running. In the traditional CapEx model, which we’re all used to, we invest heavily upfront in hardware and software. However with the cloud subscription model, we can build a datacenter with a credit card in a predictable Operational Expense (OpEx) model – which is wonderful in theory, until the bill shows up. As organisations mainstream public cloud, they are exposing holes in the maturity of their management processes and controls. This means that developers have been deploying VMs at will and not taking down workloads when they are finished.
To address this growing concern, IT leaders need to ensure they have a data and information management strategy which enables them to capture the workload at the point of creation and attach data management service at that point. To support Hybrid models, we need to be able to stay with the workload as it moves between on-premises to hosted private cloud to hybrid and public clouds.
Lastly, data is only useful when we are able to gain value from it, whether it be in the cloud or on-prem. Starting with backup and recovery, organisations can then fast track into more advanced use cases like dev/test solutions and more. Here emerges the hybrid data analytics strategy. ‘Analytics with purpose’ will be a guiding principle for businesses moving forward. And regardless of whether it’s to introduce a business intelligence project or take an advanced analytics strategy to the next level, organisations leveraging a hybrid cloud model will have the opportunity to make more intelligent choices about structured and unstructured data in their environment. They will be able to quickly mitigate the risk of compliance related issues, and regain valuable storage space, freeing up budgets to pursue opportunities that can power business growth.
* Johan Scheepers, Principal Systems Engineer at CommVault
Why your first self-driving car ride will be in a robotaxi
Autonomous driving will take longer than we expect, and involve less ownership than the industry would like, writes Intel’s AMNON SHASHUA
As we all watch automakers and autonomous tech companies team up in various alliances, it’s natural to wonder about their significance and what the future will bring. Are we realizing that autonomous driving technology and its acceptance by society could take longer than expected? Is the cost of investing in such technology proving more than any single organization can sustain? Are these alliances driven by a need for regulation that will be accepted by governments and the public or for developing standards on which manufacturers can agree?
The answers are likely a bit of each, which makes it a timely opportunity to review the big picture and share our view of where Intel and Mobileye stand in this landscape.
Three Aspects to Auto-Tech-AI
There are three aspects to automotive-technology-artificial intelligence (auto-tech-AI) that are unfolding:
- Advanced driver-assistance systems (ADAS)
- Robotaxi ride-hailing as the future of mobility-as-a-service (MaaS)
- Series-production passenger car autonomy
With ADAS technologies, the driver remains in control while the system intervenes when necessary to prevent accidents. This is especially important as distracted driving grows unabated. Known as Levels 0-2 as defined by the Society of Automotive Engineers (SAE), ADAS promises to reduce the probability of an accident to infinitesimal levels. This critical phase of auto-tech-AI is well underway, with today’s penetration around 22%, a number expected to climb sharply to 75% by 2025.1
Meanwhile, the autonomous driving aspect of auto-tech-AI is coming in two phases: robotaxi MaaS and series-production passenger car autonomy. What has changed in the mindset of many companies, including much of the auto industry, is the realization that those two phases cannot proceed in parallel.
Series-production passenger car autonomy (SAE Levels 4-5) must wait until the robotaxi industry deploys and matures. This is due to three factors: cost, regulation and geographic scale. Getting all factors optimized simultaneously has proven too difficult to achieve in a single leap, and it is why many in the industry are contemplating the best path to achieve volume production. Many industry leaders are realizing it is possible to stagger the challenges if the deployment of fully autonomous vehicles (AVs) aims first at the robotaxi opportunity.
Cost: The cost of a self-driving system (SDS) with its cameras, radars, lidars and high-performance computing is in the tens of thousands of dollars and will remain so for the foreseeable future. This cost level is acceptable for a driverless ride-hailing service, but is simply too expensive for series-production passenger cars. The cost of SDS should be no more than a few thousand dollars – an order of magnitude lower than today’s costs – before such capability can find its way to series-production passenger cars.
Regulation: Regulation is an area that receives too little attention. Companies deep in the making of SDSs know that it is the stickiest issue. Beside the fact that laws for granting a license to drive are geared toward human drivers, there is the serious issue of how to balance safety and usefulness in a manner that is acceptable to society.
It will be easier to develop laws and regulations governing a fleet of robotaxis than for privately-owned vehicles. A fleet operator will receive a limited license per use case and per geographic region and will be subject to extensive reporting and back-office remote operation. In contrast, licensing such cars to private citizens will require a complete overhaul of the complex laws and regulations that currently govern vehicles and drivers.
The auto industry is gradually realising that autonomy must wait until regulation and technology reach equilibrium, and the best place to get this done is through the robotaxi phase.
Scale: The third factor, geographic scale, is mostly a challenge of creating high-definition maps with great detail and accuracy, and of keeping those maps continuously updated. The geographic scale is crucial for series-production driverless cars because they must necessarily operate “everywhere” to fulfil the promise of the self-driving revolution. Robotaxis can be confined to geofenced areas, which makes it possible to postpone the issue of scale until the maturity of the robotaxi industry.
When the factors of cost, regulation and scale are taken together, it is understandable why series-production passenger cars will not become possible until after the robotaxi phase.
As is increasingly apparent, the auto industry is gravitating towards greater emphasis on their Level 2 offerings. Enhanced ADAS – with drivers still in charge of the vehicle at all times – helps achieve many of the expected safety benefits of AVs without bumping into the regulatory, cost and scale challenges.
At the same time, automakers are solving for the regulatory, cost and scale challenges by embracing the emerging robotaxi MaaS industry. Once MaaS via robotaxi achieves traction and maturity, automakers will be ready for the next (and most transformative) phase of passenger car autonomy.
The Strategy for Autonomy
With all of this in mind, Intel and Mobileye are focused on the most efficient path to reach passenger car autonomy. It requires long-term planning, and for those who can sustain the large investments ahead, the rewards will be great. Our path forward relies on four focus areas:
- Continue at the forefront of ADAS development. Beyond the fact that ADAS is the core of life-saving technology, it allows us to validate the technological building blocks of autonomous vehicles via tens of new production programs a year with automakers that submit our technology to the most stringent safety testing. Our ADAS programs – more than 34 million vehicles on roads today – provide the financial “fuel” to sustain autonomous development activity for the long run.
- Design an SDS with a backbone of a camera-centric configuration. Building a robust system that can drive solely based on cameras allows us to pinpoint the critical safety segments for which we truly need redundancy from radars and lidars. This effort to avoid unnecessary over-engineering or “sensor overload” is key to keeping the cost low.
- Build on our Road Experience Management (REM)™ crowdsourced automatic high-definition map-making to address the scale issue. Through existing contracts with automakers, we at Mobileye expect to have more than 25 million cars sending road data by 2022.
- Tackle the regulatory issue through our Responsibility-Sensitive Safety (RSS) formal model of safe driving, which balances the usefulness and agility of the robotic driver with a safety model that complies with societal norms of careful driving.
At Intel and Mobileye, we are all-in on the global robotaxi opportunity. We are developing technology for the entire robotaxi experience – from hailing the ride on your phone, through powering the vehicle and monitoring the fleet. Our hands-on approach with as much of the process as possible enables us to maximize learnings from the robotaxi phase and be ready with the right solutions for automakers when the time is right for series-production passenger cars.
On the way, we will help our partners deliver on the life-saving safety revolution of ADAS. We are convinced this will be a powerful and historic example of the greatest value being realized on the journey.
Professor Amnon Shashua is senior vice president at Intel Corporation and president and chief executive officer of Mobileye, an Intel company.
Sea of Solitude represents mental health issues through gaming
It’s a game that provides a tasteful visual representation of mental health issues. BRYAN TURNER dives into the Sea of Solitude.
Disclaimer: This review is based on four hours of gameplay.
Sea of Solitude, the latest adventure game by Jo-Mei Games and EA Games, takes a sobering look at loneliness. It represents this loneliness visually, using light and dark environmental changes, as well as creatures players must encounter. The main character, Kay, must make it through the sea without finding herself trapped in a sea of loneliness. She meets fantastical creatures along her journey, and she must help them solve their challenges while keeping herself in a sane environment.
The game is systematic in the way it represents its important aspects. It starts with a striking visual art style and a soft storyline, which gives characters a chance to absorb the beauty of the game. As one gets a hang of the controls and used to the art style, the story kicks it up a few notches to reveal the harrowing backstories of the creatures that reside in the sea Kay must travel.
In particular, it features a creature that keeps flying away from Kay. This was frustrating because the previous chapter of the game presents a backstory for the creature that was not only devastating to the main character, but also to the player. Once Kay meets this creature, players must be ready to cry. It’s a brilliantly crafted story and hats off to Jo-Mei Games for being great storytellers.
Cornelia Geppert, CEO of Jo-Mei Games, told EA: “Sea of Solitude centres on the essence of loneliness and tugs on the heartstrings of its players by mirroring their own reality. It’s by far the most artistic and personal project I’ve ever created, written during a very emotional time in my life. Designing characters based on emotions was a deeply personal achievement for our team and we’re so excited for players to soon experience Kay’s powerful story of self-discovery and healing.”
Generally, I steer clear of games that are metaphors about mental health issues because they tend to be crass in how they address mental health. Sea of Solitude is quite different because of its level of relatability. Other games about mental health tend to be about a specific disorder that not many people experience, while loneliness is something that so many of us experience. Additionally, the representation of how loneliness affects Kay in the real world is sharp but tasteful. The combination of relatability and respectful representation is what makes the game’s story so brilliant.
Another great aspect of this game is the music scoring. It uses sound and the absence of sound very carefully to invoke the right feelings expected from players. The game wouldn’t be as good with the sound off and subtitles on, so future players are recommended to turn up the volume or put on headphones.
The game is long for an indie game, at around three or four hours of gameplay until the end is reached. Several sources say there is a hidden ending, so players can look out for that in a second playthrough.
The game’s story isn’t perfect, though. The eventual sameness of creature encounters is a little disappointing. This may be down to the expectation of being extremely devastated by all the stories of the creatures, especially when one is less than devastated by the subsequent stories. One of the most affecting creature stories was also presented at the beginning of the game, which set the bar very high for the rest of the creatures.
One creature, in particular, tries very hard to have the greatest emotional impact, but this comes across as blunt and dampens the meaning of what it was supposed to represent.
While I didn’t mind sharp representation, the perception of themes like bullying, estrangement, and suicidal thoughts may vary in appropriateness from player to player. Prospective players with existing painful mental health issues should consult gameplay videos, like the one below, before purchasing the game, to gauge appropriateness.
Overall, the game is incredible at connecting with what it is to be human and what it means to be lonely. Dealing with issues as physical creatures is a great touch, as the main character tends to resolve the problems of the creature by understanding what the problems mean.