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As I reported earlier this morning, Apple today squared off with the United States Department of Justice (DoJ) in a Manhattan courtroom in a “bizzare” case (Tim Cook’s words, not mine) that some watchers say will set the rules for Internet commerce. Here’s what both sides emphasized in their opening statements, including an upcoming testimony by Apple’s Internet services lead Eddy Cue…
CNET passes along an 81-slide deck of the government’s opening statements against Apple, here are the highlights.
• Apple CEO Tim Cook called the case “bizzare” during his D11 talk and reafirmed his company intends to fight DoJ’s allegations rather than settle.
“We’re not going to sign something that says we did something that we didn’t do, so we’re going to fight,” Cook said at D11.
Image via The
Image via The Wall Street Journal
The trial is expected to run about three weeks.
Here’s a handy timeline of the case.
Per Reuters, a U.S. government lawyer said the alleged cartel cost consumers “hundreds of millions of dollars” because “Apple told publishers that Apple – and only Apple – could get prices up in their industry”.
The government somehow thinks Apple’s agency model is anti-competitive.
To get you up to speed, agency model means Apple gives publishers the freedom to set their own prices on iBookstore as long as they agree to Apple’s customary 30 percent cut and promise not to undercut iBookstore prices on competing e-book stores, such as Amazon’s Kindle store.
The latter requirement, known as a most-favored clause, is a common practice in other industries. For example, record labels and Hollywood majors have the same clause in their agreements with retailers.
By contrast, Amazon employs so-called wholesale model where it determines e-book prices. Amazon’s model also quite often hurts publishers’ bottom line, especially when it (frequently) sells e-books below cost.
Check out the full deck, embedded below as a Scribd document.
“This case will effectively set the rules for Internet commerce,” David Balto, a former policy director for the U.S. Federal Trade Commission, told Reuters earlier today.
Philip Elmer-DeWitt notes in a Forbes article that Eddy Cue, Apple’s vice president for Internet services and Steve Jobs’ key man in the negotiations with publishers, has emerged as the key witness for both sides.
Apple’s lead attorney Orin Snyder said Cue was just trying to break into a crowded e-book market by replicating Apple’s approach with the iTunes Store and the App Store.
He said “Apple should be applauded, not condemned” because those innovations poured billions of dollars into the U.S. economy.
The Wall Street Journal has more:
Mr. Snyder accused the government of making “sinister inferences” about Apple’s motives from snippets of emails while ignoring evidence that the company fought hard with the publishers in negotiations.
The publishers resisted, for instance, a provision of the contracts that said if another retailer were selling a book at a lower price, the publisher would have to match the lower price in Apple’s bookstore. The provision meant Apple could be indifferent to the publishers’ agreements with other retailers, Mr. Snyder said.
The government argues the contract provision “all but assured publishers would beg off the wholesale model,” in order to avoid having to match lower prices and absorb the margin loss.
Cue is scheduled to testify on June 13.
Another key witness: Penguin Group CEO David Shanks, who once called Apple “the facilitator and go between” for the publishing companies.
The government isn’t asking for money damages, Bloomberg reports.
Instead, good ol’ Uncle Sam is seeking an “order barring Apple from anticompetitive actions, including price-fixing, in the market for digital books.”
But an eventual government victory against Apple might not affect e-book prices, as Charles E. Elder, an antitrust lawyer at Irell & Manella, explains to The New York Times:
Are consumers going to be better off as a result of any government win here? That’s going to have to be seen depending on what happens to book publishing generally. It’s in trouble, and e-books are either the savior or they’re going to hasten the demise of book publishers.
And the plot thickens.
Which side do you think will prevail in this lawsuit, Apple or Uncle Sam?
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How To Turn Off Green Light On Apple Watch In 4 Steps
Although Apple Watch is the finest wearable for iPhone users, it might take some time to get used to everything it has to offer. Users are often unaware of the bright green lights that often illuminate the Apple Watch’s back. In this post, I’ll explain what that green light indicates and how you can turn it off on your Apple Watch.
What is green light on Apple Watch?
Your Apple Watch’s green light is an optical heart sensor that indicates your heart rate. Apple did this with the help of the green light because blood is an excellent absorber of this particular color.
They combined the green LED lights with light-sensitive photodiodes, which can measure how much blood is flowing through the wrist. When wearing your Apple Watch properly, it releases green light that passes through the wrist hundreds of times per second, measuring blood flow and counting the number of heartbeats each minute.
How to disable green light on Apple WatchThe green light on the Apple Watch doesn’t hurt your skin. However, if you find it irritating, you may disable it by employing the below-mentioned techniques.
Permanently disable the green lightYou can completely shut down the green light emitting from your Apple Watch using either your iPhone or the Watch.
Using Apple Watch:
Press the Digital Crown → open the Settings app.
Tap Heart Rate.
Using iPhone:
Launch the Watch app.
Tap Privacy in the My Watch tab.
Temporarily turn off Apple Watch green lightThe steps listed below will temporarily turn off the green light on your Apple Watch if you don’t want to disable it permanently.
Finish Heart Rate monitoring: Hold off until your heart rate has been recorded. While it is measuring your heart rate, the green light flashes continually. It will switch off automatically after completion. So, simply ignore it for a bit.
End a breath or reflection session: Swipe right and choose End when in a breath or reflection session. This ends the session and disables the green light while turning off the heart rate.
Stop a workout session: Swipe right on the Apple Watch display and choose End. This will end your workout and break heart rate monitoring, turning off the green light.
FAQsQ. Why isn’t the green light on my Apple Watch working?
One of the prominent reasons that the green light isn’t working on your Apple Watch could be that you may have unintentionally disabled your Apple Watch’s Heart Rate functionality.
Q. Why is the green light on my Apple Watch on when I’m not wearing it?
Even if you aren’t wearing your Apple Watch, you may occasionally notice the green light emanating from the rear sensors. This is because an app may be active and trying to monitor your heart rate.
Q. What happens after you disable Heart Rate on your Apple Watch?
While you’re wearing it, the heart rate tracking ends when you turn off the heart rate function, which also permanently turns off the green light emission.
Wrapping up…
That’s it! It’s quick and straightforward to switch off the green light on your Apple Watch. While turning off the green light on your Apple Watch prevents it from providing regular heart rate data, it also offers you benefits, including battery life preservation and interruption prevention.
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Bhaskar
Bhaskar is a member of the iGB family and enjoys experimenting with words and rhythms. He also has a knack for web and app development. If not writing, you may find him on strings or engaging in sports. And by evening, his quotes will be appearing on your Instagram feeds.
The Us Government Could Be Net
If you want something done right, then do it yourself. Rather than waiting for the private sector to catch on to clean energy, President Joe Biden signed an executive order yesterday that would put the US government on track to becoming carbon neutral in the next 30 years. This means reducing greenhouse gas emissions by 65 percent by the end of the next decade and transitioning to purchases of electric cars and trucks only by 2035.
“As the single largest landowner, energy consumer, and employer in the Nation, the Federal Government can catalyze private sector investment and expand the economy and American industry by transforming how we build, buy, and manage electricity, vehicles, buildings, and other operations to be clean and sustainable,” the executive order states.
The other major goals of the order are switching to carbon-pollution-free electricity by 2030, hitting net-zero emissions from construction materials and other federal acquisitions by 2050, and creating a net-zero building portfolio by 2045.
“The federal government is the largest customer in the world. This aligns the government’s enormous buying power with the nation’s climate goals,” John Bowman, managing director of government affairs at the Natural Resources Defense Council, said in a statement. “Shifting to clean energy—in federal buildings, vehicles, and power purchases—and using clean building materials for infrastructure projects will speed the transition to a low-carbon economy.”
[Related: 4 new myths about climate change—and how to debunk them]
If successful, the market power the US government holds could give a serious financial boost to clean energy technologies—similar to what the Chinese government is currently doing with their 2060 net-zero goals, Joshua Freed, senior vice president for climate and energy at Third Way, a centrist Democratic research group, told the New York Times.
This massive reduction in greenhouse gas emissions would also include the Department of Defense, which emits more than 56 million metric tons of CO₂ each year, a footprint that dwarfs Norway and Sweden’ combined 2023 contributions. Projects are already underway to reach the lofty goals from Biden’s executive order, including the addition of 520 megawatts of solar photovoltaic projects at the Edwards Air Force Base in California and a 100-percent clean energy microgrid at the Pacific Missile Range Facility in Hawaii.
Still, not everyone is happy about the changes. Republican leaders are concernd that the plan will harm fossil fuel-dependent states like Wyoming and West Virginia. “With this action, he’s telling millions of Americans who provide most of the energy we use every day that he thinks they should be thrown out of work,” Sen. John Barrasso [R-WY], who sits on the Senate Committee on Energy and Natural Resources, told the Washington Post.
[Related: Biden’s infrastructure act bets big on 3 types of ‘green’ energy tech.]
On the flip side, environmental activists aren’t so sure this action is enough, especially with the Build Back Better plan still sitting in the Senate and Biden recently opening up millions of acres in the Gulf of Mexico for oil and gas leasing. Bill Snape, a lawyer at the Center for Biological Diversity, brought up the issue of timing too: While 2050 may sound soon, the climate change clock is rapidly ticking. “This is like a teenager promising to clean their room in 30 years. We need action now,’’ he told the AP.
Cyber Monday Slashes $500 Off This 16 Inch Apple Macbook Pro
Cyber Monday slashes $500 off this 16 inch Apple MacBook Pro
A high-end MacBook Pro and a high-quality deal, what else can you ask for?
Cyber Monday is always a delight, so you’ll want to head over to this Apple MacBook Pro 16″ deal as soon as possible. It’s no secret that Apple have a loyal fanbase, but any savvy shopper (regardless of their allegiance) should recognize the immense value up for grabs right here. We’re going to be talking about the specs further down too, just so you know exactly what’s on offer from this MacBook.
READ NOW: Don’t miss out on equally impressive Apple iPhone deals
You’re really heading towards the high-end of the product range with this particular MacBook Pro. This model from just last year in 2023 is still massively relevant, which is why we’re so impressed by this $500 discount.
Apple MacBook Pro 16″ Cyber Monday deal
Like we’ve said, this is a massive discount for a premium Apple Product. That’s exactly why we expect a ton of people to be looking towards this particular deal on Cyber Monday. To get in on the action nice and quickly, take a look at the deal immediately below. As you know, Cyber Monday isn’t around forever, so it’s best to head straight over to Amazon right now.
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So, this is obviously a big question to answer. We say that this deal offers a ton of great value. To cement that fact, let us take you through the specifications of this fantastic Apple MacBook Pro to convince you (even more) that there’s good value on offer. We’ve also covered another similar model for you to consider too in case you want to compare.
This MacBook Pro 16″ comes with an ultra-fast Apple M1 Pro chip 10-core CPU and 16-core GPU to make sure you don’t find yourself slowing down at all. Pair that with the generous 16GB of RAM and you’ve got yourself a machine built for productivity. Likewise, you’ll also be able to enjoy this laptop for leisure just as much. We also can’t ignore the massive 1TB SSD, providing a ton of space, ideal for storing high-quality videos and other media such as games too with high-speed efficiency.
Don’t forget about the premium display either! This model comes with a stunning Liquid Retina XDR display and all the ports you need for simple and easy connectivity. Receive an impressive extreme dynamic range and contrast ratio for up to 21 hours of battery life.
Is the Apple MacBook Pro 16″ worth getting on Cyber Monday?
We can’t say anything other than – yes, this well worth getting this Cyber Monday. Discounts on popular Apple products don’t come around too often, so it’s important to jump on this 2023 edition Apple MacBook Pro 16″ deal as soon as possible. If you’re already a fan of Apple and the kind of quality that they offer, then this is probably a must-have in 2023, or at least a strong contender to consider.
Even if you’re not a regular user of Apple devices, you can’t deny that the specs are impressive, so why not switch over to a laptop from Apple this Cyber Monday? This MacBook Pro has everything you could ask for.
Ai In Government: Examples, Challenges & Best Practices
Artificial intelligence adoption is increasing. 90% of top businesses have an ongoing AI investment. And customers who are delighted with the personalized experiences they get from brands, thanks to AI, start to expect the same experience from every organization they engage with.
According to Gartner, governments need to focus on scaling digital initiatives because more than 85% of governments without a total experience strategy by 2023 will fail to transform services. As a result, governments are following in the footsteps of businesses and are willing to invest in AI. For example, recently, Danish architecture firm BIG and Chinese tech company Terminus revealed their plans to build an “AI City” project named Cloud Valley in the south-western Chinese city of Chongqing.
In this article, we focus on AI applications in government to inform public authorities. In this regard, we will answer all important questions regarding artificial intelligence deployment in public institutions, from challenges and best practices to real-world public sector case studies.
What does artificial intelligence offer to governments?What AI offers to governments is similar to what AI offers to the private sector. These offerings can be classified into three categories:
Savings due to operational efficiency: According to Governing magazine, 53% of state and local officials surveyed had excessive paperwork burdens that impacted their ability to get work done. According to Deloitte, automation of federal government employee tasks could save between 96.7 million and 1.2 billion hours annually. Same Deloitte study also reports that automation and AI have the potential to save between $3.3 billion and $41.1 billion. For automation opportunities, check our articles on RPA and intelligent automation in government.
New/improved services: Citizen-facing applications like self-driving shuttles and personalized education improves the quality of services governments deliver to citizens.
More data driven decision making: Governments are collecting an abundant amount of data every day. Yet, without an accurate analysis, data is not adequate for actionable insights. Better decision making has the potential to both improve services and save costs.
What is the level of government’s interest in AI?61% of government decision-makers state that AI is at least moderately functional in their organizations, according to a 2023 survey by KPMG. Moreover, 79% of them believe AI will improve bureaucratic efficiency.
What are AI applications/ use cases in government? Government services Social Welfare
Identifying fraudulent benefits claims: Fraudulent claims cost governments billions. For instance, it is expected that £1.5bn may have been lost in fraudulent claims for Universal Credit in the UK after the coronavirus pandemic. AI-powered fraud detection can enable governments to track down large-scale corruption of the benefit and welfare programs by
identifying patterns in claims such as the same phone number or applications written in the same style
processing social media profiles to check if there are any conflicting information compared to the applications. However, this may be perceived as an infringement of personal data in many countries.
HealthcareWithin five days, conversational AI company Haptik developed a WhatsApp chatbot for the Indian government to address questions on COVID-19. The chatbot can reply in both Hindu and English. With the help of the pandemic chatbot, more than 100 million inquiries have been answered. Chatbot offered trustworthy public information and assisted the authorities in halting the spread of false information.
If you want to experience a conversational AI tool you can request a demo from Haptik.
Domestic security
Predicting a crime and recommending optimal police presence: AI can be used to identify patterns in policing heat maps to forecast where and when next crimes are likely to occur as in the graph below. Though AI algorithms’ fairness in predictive policing is still questionable and it doesn’t favor minority groups, AI-based recommendations can be used to identify optimal police patrol presence. Solutions like Palantir enable it to conduct geo-searches around locations of interest and view relevant arrest data for law enforcement.
Surveillance: AI surveillance describes the process of ML and DL-based algorithms analyzing images, videos, and data recorded from CCTV cameras. Though techniques like facial recognition enable governments to identify people from video records, the ethical side of AI-powered surveillance is still controversial. For instance, IBM stopped offering, developing or researching facial recognition technology for mass surveillance due to racial profiling and violations of basic human rights and freedoms.
Military
Self-driving shuttles: Autonomous shuttles are a flexible solution to move people at sub-50km/h speeds along predetermined, learned paths like industrial campuses, city centers, or suburban neighborhoods. Self-driving shuttle trial deployments are expected to accelerate quickly because
The shuttle segment is less regulated than the automotive market.
Consumers’ trust in autonomous shuttles is higher than other autonomous vehicles. According to a survey conducted by the University of Michigan, 86% of riders said they trusted shuttles after riding in it, as did 66% of nonriders. On the contrary, another survey highlights that 70% of Americans would not trust an autonomous vehicle.
Personalized education: ML algorithms can help provide personalized education irrespective of the number of students. AI can analyze students’ progress and find the gaps between what is taught and what is not yet understood.
Marking exam papers: At the University of Michigan, students receive immediate feedback on their writing, even in large classes, thanks to AI. Automated text analysis reviews students’ work to identify strengths and recommend revisions.
Emergency
Classifying emergency calls based on their urgency: Voice recognition technologies & ML algorithms can help governments automate emergency call lines by understanding and categorizing queries.
Fire prediction: ML & DL algorithms map the dryness of forests to predict wildfire better.
Public relations
Customer service chatbots: Chatbots are the most common use case of AI in government. Chatbots enable governments to perform a variety of tasks, including:
Scheduling meetings
Answering FAQs
Directing requests to the appropriate area within government
Filling out forms
Assisting with searching documents
Helping out recruitment (e.g., United States Army )
Checking on social media posts for citizen feedback purposes: Every minute, Twitter users tweet 347,222 times. By processing a vast amount of data with AI, the public sector can gain feedback from citizens to improve their services.
Others
Document automation includes extraction and inputting of invoices, architectural drawings, certificates, charts, drawings, forms, legal documents, and letters.
Drafting documents & announcements: Automated content can be generated with Natural Language Generation (NLG), which is already being used in some newsrooms.
Translation: AI enables a more efficient translation of government information. For example, the PyeongChang Winter Olympics in Korea will be using AI-based real-time translation services.
What are the challenges of AI in the public sector? EmploymentUnemployment is the scariest part of artificial intelligence if we disregard the hypothetical scenario of an AI takeover. Governments, as public service providers, should be concerned about the impact of AI on human jobs in government. To mitigate the impact of potential unemployment due to automation, governments need to ensure that humans focus on higher value added tasks or move on to the private sector if their current tasks are going to be automated.
According to the European Commission’s Eurobarometer survey that presents European citizens’ thoughts on the influence of digitalization and automation on daily life
74% of respondents expect that more jobs will disappear than new jobs will be created due to the use of robots and artificial intelligence.
72% of respondents believe robots steal peoples’ jobs.
44% of respondents who are currently working think their current job could at least partly be done by a robot or artificial intelligence.
AI biasesAI algorithms may contain biases due to prejudices of the algorithm development team or misleading data. Though building an unbiased AI algorithm is technically possible, AI can be as good as data, and people are the ones who create data. Therefore the best thing governments can do for AI bias is minimizing it by applying best practices.
ExplainabilityIt is not easy to explain how all AI algorithms arrive at their predictions (i.e., inferences) however there are technical approaches being developed to overcome this shortcoming.
This is problematic for the public sector, where providing a rationale for decisions is more important than the private sector since the public sector is accountable to the public. In contrast, the private sector is foremost accountable to shareholders.
AccountabilityAccountability of AI systems is an issue of AI ethics. Governments are like the US and the UK are introducing new laws about companies’ AI algorithms’ accountability. It will be hypocrisy if governments and companies are not held accountable for accidents & false predictions their AI algorithms make.
Check our article on responsible AI to learn more.
Difficulty of transformationAI transformation in government is difficult because
Age of public servants: The workforce at the government is older than the private sector, making it potentially harder to implement to the culture change. According to U.S. Census Bureau research, about 24% of public-sector workers are millennials, compared with 34% in the private sector.
More ambiguous/complex KPIs: Compared to the private sector’s drive for profit, governments have more complex, harder to measure goals. As a result, government KPIs tend to be more activity-oriented rather than result-oriented making it harder to measure improvements.
Number of stakeholders: Government watchdogs, labor unions, opposition parties are all stakeholders whose view of AI will shape how the public will perceive AI in government. This makes communication about transformation projects ever more important.
What are the best practices of AI for governments?Some best practices of AI transformation are:
Involve people more: Investments alone are not enough for AI projects. Human and processes aspects also help achieve success from AI projects.
Enhance technology infrastructure: AI deployment may require the restructuring of the technology infrastructure for faster system integration.
Improve data quality & collection: AI is data hungry. Collecting high quality data is a prerequisite for numerous AI implementations.
Involve the experts: Recruit professionals who are proficient in ML and AI deployments. AI consulting and custom AI development firms can provide the necessary experience and talent for governments.
Reduce bias in AI: Follow best practices to reduce AI bias can also guide governments during their AI projects
Feel free to check our related article for more information.
Case studiesCountryInstituiteApplicationResults -Resolved 88% of queries on first contact. AustraliaDepartment of Human ServicesChatbot/Virtual assistantcan answer general questions about family, job seeker and student payments and related information. CanadaSurrey MunicipialChatbot/Virtual assistanthelps the residents of the city get answers to questions related to municipal infrastructure United StatesAtlanta Fire Rescue Department (AFRD) Predictive Analyticsaccurately predicted 73% of fire incidents in the building. United StatesDepartment of EnergySolar Forecastingmachine learning based forecasts are as much as 30% more accurate than ones created using conventional approaches. United StatesNew York City Department of Social Services (DSS)Machine VisionDigitization of documents is achieved
To learn moreYou can also check out our list of AI tools and services:
Finally, to get the latest guides on conversational AI, download our whitepaper:
And if you still have questions about AI applications in government, don’t hesitate to contact us:
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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How Aiops Can Improve Efficiency In Federal Government
AIOps is imperative for government agencies endeavoring to match the expectation of their citizen stakeholders.
Given the pace at which new applications are changing the IT scene consistently, it is critical to deploy monitoring systems that ceaselessly track the business impact. It is here that AIOps can have any kind of effect, distinguishing the connections and moving to a predictive mentality that will drive the evolution of enterprise IT and the link between IT and business. Obviously, enterprise leaders know that! A few factors have met up to make way for AIOps. The progress to the cloud has made enterprise IT a convoluted recommendation exacerbated by a distributed and complex multi-cloud environment. Understanding connections and patterns can never again be completed simply through manual methods. Utilizing brilliant mathematics to make inferences and discover connections in real-time isn’t only a favorable position in this circumstance. It is a need. Federal government Security Operations Center (SOC) and Network Operations Center (NOC) teams are overpowered with tools. Handfuls, even hundreds are normal, which are intended to monitor and alert on different systems, applications, behaviors and different elements of the IT enterprise environment. This ordinarily prompts one of two situations: 1. Being overpowered with false positives which desensitize security faculty to authentic alarms, for example, the popular Target Stores breach, or 2. Not getting alerts to authentic concerns/breaks. Likewise, this additionally includes a complex learning curve and dreary upkeep of the most recent software, sensors, and incorporation prerequisites.
ChallengesThe challenge with existing tools is that they frequently neglect to “talk” to one another to share key information in light of a legitimate concern for the improved prediction, relationship, and resolution of occasions, for example, cyber threats and service disruptions. When they do “talk”, they are not doing as such in a manner that performs correlation fast enough, which means basic security issues might be found past the point of no return. Hence, federal agencies utilize scores of SOC/NOC experts who “remain inside their silos,” focused strictly on their own, individual monitoring solutions with no cross-correlating and analysis of the data produced by the tools. These experts frequently encourage an attitude of ownership, which now and again prompts possessiveness and not lending itself to different systems. This “heritage” security operation model can enormously profit by the implementation of processes that integrate machine learning, automation and analytics to expand the predictive value of the tools as an aggregate whole, along these lines picking up enterprise-wide IT visibility. Another challenge is the surge of big business, operational and mission-driven information that IT must manage, as different public-sector agencies incorporate complex datasets from various divisions and private partners. By utilizing AIOps, users can assemble a data model that sources information from different systems and definitive data sources to identify irregularities in the behavior of applications and IT foundation. Alerts will persistently screen the strength of the environment and diminish the noise by analyzing alert patterns to sift through false positives, empowering chiefs to prioritize where action needs to be taken. AIOps is promptly accessible to government customers through various agreement vehicles, including DISA ENCORE III, FAA eFast, GSA Schedule 70, Seaport-e, and the C5 Consortium Other Transaction Agreement (OTA). To position an agency for success here, we suggest these basic segments/steps: • Control and management of AIOps solutions and services and services in a multi-occupant climate with a coordinated exhibit of best-fit commercial off-the-shelf (COTS) solutions. • Detail-driven project management wherein each action is started, planned and controlled to meet in general objectives within agreed-upon time and budget constraints • Framework integration that is verified before new capacities are implemented • Compliance with all security prerequisites and guidelines • Guidance sets and training plans for new features By producing increased efficiency and effectiveness through AIOps use cases, federal government CIOs can start to explore the value of smart IT activities to anticipate and forestall cyberattacks, process increasing call center volumes and manage IT operations information.
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