Deloitte’s third edition of the “State of AI in the Enterprise” survey, conducted between Oct. and Dec. 2019, finds businesses are entering a new chapter in AI implementation where early adopters may have to work harder to preserve an edge over their industry peers. The study shows that companies at the top will be those that utilize AI to pursue creative and novel applications, actively address inherent AI risks and — as more organizations buy AI-powered capabilities — become smarter consumers of AI technology.
“Seasoned” adopters are the example to follow as the global survey of 2,737 information technology and line-of-business executives finds this category has undertaken many AI production deployments. They have also developed a high level of AI expertise across the board in selecting AI technologies and suppliers; identifying use cases for building and managing AI solutions; integrating AI into their IT environment and business processes; and hiring and managing AI technical staff.
Seasoned and skilled adopters evolve
Deloitte grouped responding organizations into three segments, based on the number of AI production deployments undertaken and how respondents rated their enterprise’s expertise across various measures.
Seasoned adopters are setting the pace in terms of AI adoption maturity. This category of adopters has grown since the last survey in 2018 from 21% to 26%.
Skilled adopters have generally launched multiple AI production systems but are not yet as AI-mature as the Seasoned organizations. This category of adopters has grown since the last survey from 43% to 47%.
Starters are just dipping their toes into AI adoption and have not yet developed solid proficiency in building, integrating and managing AI solutions. This category of adopters has declined since the last survey from 36% to 27%.
Becoming smarter consumers: Purchasing AI intelligently
As purchasing barriers have dropped and AI is more available, choosing the right technology is more important than ever. Those AI adopters surveyed tend to “buy” their capabilities rather than “build” them. To become smarter consumers, companies should evaluate the landscape, find the most advanced AI and integrate those technologies into their infrastructure. However, the survey found many adopters lack purchasing maturity:
- Only 47% of all adopters say that they have a high level of skill around selecting AI technologies and technology suppliers.
- Less than half (45%) say that they have a high level of skill around integrating AI technology into their existing IT environment.
Inventive approaches: Moving AI applications beyond IT and cyber security
It will likely take more creativity for organizations to differentiate themselves as AI becomes commonplace. For example, many companies are still using AI mostly in IT- and cybersecurity-related functions, which was also the case in Deloitte’s second edition of the survey. This year’s survey found:
- Forty-seven percent of respondents indicated that IT was one of the top two functions for which AI was primarily used.
- When asked to identify the top two benefits they were seeking from AI, respondents’ top choices were “making processes more efficient” and “enhancing existing products and services,” the same as the last survey.
- Top business functions for AI applications, such as marketing, human resources, legal and procurement ranked at the bottom of the list.
- However, there are signals that AI may be expanding as respondents rated “creating new products and services” as the third-highest overall AI benefit.
Despite strong enthusiasm for their AI efforts, the majority of adopters only feel somewhat prepared to address AI risks — from unintended bias to determining accountability — and not enough are implementing specific practices to address them. In fact, survey respondents rank managing AI-related risks as the top challenge for their AI initiatives. Adding to this trust concern, many adopters feel underprepared and that these risks may impede their AI efforts:
- More than half of adopters surveyed report “major” or “extreme” concerns about potential risks for their AI initiatives, while only four in 10 adopters rate their organization as “fully prepared” to address them.
- While cybersecurity remains the most worrisome AI risk for adopters, AI failures, misuse of personal data, and regulatory uncertainty are also top areas of concern.
- Fifty-six percent agree that their organization is slowing adoption of AI technologies because of the emerging risks, and the same proportion believe that negative public perceptions will slow or stop adoption of some AI technologies.
- Fifty-seven percent of adopters have “major” or “extreme” worries about how new and changing regulations could impact their AI initiatives.
Does Buying a Chinese Smartphone Pose a Privacy Risk?
Chinese smartphones have garnered a pretty bad privacy reputation in the last few years, which stems from several issues, such as lack of consumers’ trust and the fact that global political events have not really been in China’s favor. Somewhere around the mid-2010s though, China’s global image changed a lot for the better, especially with their appearance in the smartphone industry and when it comes to advances in 4G and 5G technology.
The smartphone industry is one of the fastest growing sectors in the global technology industry. Particularly in the last decade, which gave us the smartphone revolution, global device sales have skyrocketed from just 100 million in 2007, to over 1.5 billion today. Smartphones are also the most popular way through which people access the internet, which makes this sector critical for tech companies.
14 years ago now, we experienced the launch of the first Apple iPhone in 2007, which would undoubtedly mark the beginning of a new Information Age. As the years went by, we have seen big players such as Samsung entering the market, as well as most recently Chinese companies like Huawei and Xiaomi eating up global market share with their very affordable smartphones. It isn’t just Huawei and Xiaomi, though, let’s not forget Oppo and Vivo too, who have held small but stable market share, even gaining popularity in the United States.
Apple never really took off in China like it did in the rest of the world, as the nation favoured national production and local brand loyalty, but Apple has always been in demand there. Outside of China though, Apple had absolutely dominated the smartphone market for a long time with the entire world anxiously awaiting their next press conference, and what their new iPhone would be like. The market dominance then switched hands between Apple and Samsung for a few years, with Samsung being dominant most of the time.
Now, however, the global smartphone market has changed. With so much competition on the horizon (Samsung, Xiaomi, Huawei), as well as Apple charging very lofty prices for their latest offerings (and having lost some of their charm along the way with radical design changes), Chinese players have adapted and grasped a firm hold on the market for the foreseeable future. Offering familiar minimalist design approaches that Apple is known for, as well as having totally revamped their marketing, Chinese smartphone brands are now a true contender to the established giants. Ultimately, the most important target market for Chinese smartphones is the US and EU markets.
There is a big problem there though, it looks like there are serious privacy issues that plague Chinese smartphones and their reputation. Let’s look into this below.
What Is The Problem With Chinese Smartphone Brands?
With news of Huawei being banned (Xiaomi is also blacklisted) from Western countries, their reputation is not in a good place. Today, there are many Chinese smartphone brands available, with Huawei and Xiaomi being the most recognizable internationally -the ones that have sold the most outside of China. Some of the other ‘budget’ brands are Honor and Realme, for example, which may not be known to most people. There are many more Chinese smartphone brands, but way too many to list.
With so much political tension between the US and China, what does this mean if you are planning to buy/already own a Chinese smartphone? Unfortunately, it is a fact that Chinese smartphones have experienced many privacy and security related issues with their devices, which fall into the categories;
- Pre-installed spyware
- Malware vulnerabilities
- Data theft
- Hardware ‘Backdoors’
- Weak encryption
Beyond pre-installed malicious software in Chinese smartphones, there are additional risks from installing very popular Chinese-made social media apps, such as;
Takeaways For Your General Smartphone Security
Having covered why there is so much negative buzz around Chinese smartphones and their privacy risks, let’s remember that a lot of it comes from the political tension between China and the US. There have been countless allegations of spying, hacking and data risks. Beyond this, there is a more important fact for the regular user. It is that Chinese phones are Android-based, which has a much larger user base and is as such more susceptible to attacks.
Let’s emphasize one thing; yes, that doesn’t mean that these devices are safe, but what is safe nowadays? Should this deter you, a regular citizen, from buying a Chinese smartphone? It is difficult to say what is considered ‘safe’ nowadays, and depends a lot on who you are and whether your data is so sensitive that governments will try to access your phone (for most people, this is not an issue).
However, for the privacy conscious individuals out there, there are some things you must implement for your safety and peace of mind, no matter what kind of device you use, or which country it comes from;
- Always use a trustworthy Virtual Private Network, or VPN
- Consider that iOS may be safer than Android overall
- Make sure that you have a strong password on your phone
- Ensure that you have multi-factor authentication at every juncture
- Do not share sensitive information online if possible
- Always keep your smartphone software up-to-date
- Never download unverified software, or access third-party app stores
Earth Observation Data Could Represent A Billion-Dollar Opportunity For Africa
Earth observation [EO] data provides a billion-dollar opportunity for economies on the African continent, one that could create jobs and build new resilience after COVID-19.
The newly released report Unlocking the Potential of Earth Observation to address Africa’s critical challenges lays out the multiple economic benefits from EO data. The report was written in collaboration with Digital Earth Africa, an initiative that is a world first in providing freely accessible data that maps the entire African continent.
This report marks the first known time the potential impact of EO for Africa has been quantified. According to estimates, EO could be worth up to $2 billion a year thanks to:
1. A strengthened EO industry. Improved use of EO data could lead to an extra $500 million in yearly EO sales along with new job opportunities and increased fiscal revenues.
2. Boosted agricultural productivity. Better data could potentially be worth an extra $900 million a year, thanks to water savings and productivity gains for farmers, not to mention reduced pesticide usage.
3. Better regulation of gold mining activity. Data allows countries to crack down on illegal mining, providing a potential savings of at least $900 million from reduced environmental damage and fiscal evasion.
The report shows the opportunity available in EO data to strengthen economies and reach sustainability goals. EO data can help governments make more informed decisions regarding water, agriculture, food security and urbanization. Advancing new collaborations between public and private efforts can incentivize data sharing to develop EO industries on the continent even further.
Dr Adam Lewis, Managing Director of the Digital Earth Program welcomes the findings of the report as the first of its kind to quantify the potential benefits of the program. “Through collaboration with key partners both within Africa and across the globe, we have made significant progress in turning this potential into a reality. Over the last 12 months the program has met a number of milestones in improving access to data and services within Africa. Working with Amazon Web Services as well as international space agencies and the private sector, we have been able to provide access to locally stored analysis-ready satellite data within Africa.” Adam said.
“We are proud to support Digital Earth Africa’s efforts to make Earth observation data more easily accessible to African nations,” said Ana Pinheiro Privette, Lead for Amazon Sustainability Data Initiative. “Through the Amazon Sustainability Data Initiative, Amazon is making available petabytes of Earth observation data, which provide valuable insights for communities to manage climate impacts including increased floods and droughts.”
Valuing the impact of EO is an emerging practice globally, with recent reports covering the Asia Pacific, Australia, the European Union and the UK, but this is the first such report for Africa. The report was developed following examination of the readiness of African countries to effectively and efficiently grow their geospatial capabilities, integrated with study of the potential economic benefit of EO data adoption on specific sustainable development focus areas.
Data-Driven Operations Are Key to Future of Manufacturing
In the near future, manufacturing companies will collaborate in hyperconnected value networks in which data-and-analytics applications drive productivity, new customer experiences and societal and environmental impact. A new white paper, Data Excellence: Transforming Manufacturing and Supply Systems, released today presents the challenges for manufacturers and provides the steps to overcome them.
According to the report, nearly three-quarters of 1,300 surveyed manufacturing executives consider advanced analytics to be critical for success and more important today than three years ago. However, only a few companies capture the full value that data and analytics can unlock to address manufacturers’ most pressing challenges. Less than 20% of surveyed participants prioritize advanced analytics to promote either short-term cost reductions or longer-term structural cost improvements. Only 39% have managed to scale data-driven use cases beyond the production process of a single product and thus achieve a clearly positive business case.
Surveyed manufacturers cited various challenges that impeded their efforts to further scale and implement data-and-analytics solutions within their plants and across networks:
- They struggle to prioritize the right value-adding use cases from a broad range of applications
- They have not put in place technological enablers, such as data security or advanced algorithms
- They lack critical organizational enablers, such as skills and capabilities and effective internal governance
This study by the World Economic Forum, in collaboration with the Boston Consulting Group (BCG), features insights from a unique community of 40+ manufacturing organizations and leading academics and public sector representatives, identifying six priorities to capture value from data and analytics in manufacturing:
- Define a data-to-value strategy and roadmap
- Incentivize internal and external ecosystem partners
- Build capabilities to capture and use data
- Implement an open platform to unlock data silos
- Enable connectivity for low-latency, high-bandwidth data flows
- Ensure data security and privacy
“These findings will help accelerate our journey to support companies in devising a path forward to reach the next level of data-based manufacturing excellence, build trust among manufacturing, suppliers and customers, and unlock new value through the development of new data-driven ecosystems,” said Francisco Betti, Head of Shaping the Future of Advanced Manufacturing and Production at the World Economic Forum.
“Manufacturing is on the verge of a data‑driven revolution,” said Daniel Küpper, Managing Director and Partner of BCG and a report co-author. “But many companies have become disillusioned because they lack the technological backbone required to effectively scale data-and-analytics applications. Establishing these prerequisites will be critical to success in the post-pandemic world.”
As a next step, the community is co-developing a Manufacturing Data Excellence Framework, which comprises value-adding applications as well as technological and organizational success factors. Companies will be able to leverage this framework to accelerate the development of globally connected manufacturing data ecosystems.
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