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The New Guidelines of Information Privateness: What Each Enterprise Should Know in 2025

Robotics

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26 April 2025

The New Guidelines of Information Privateness: What Each Enterprise Should Know in 2025

In 2025, knowledge privateness is not a distinct segment concern delegated to authorized groups and IT departments. It’s a boardroom-level precedence, instantly tied to belief, status, and long-term viability. In accordance with Statista, 75% of the world’s inhabitants is now lined underneath fashionable privateness rules. For multinational companies—and even U.S.-based corporations serving prospects in a number of states—this implies compliance shouldn’t be a one-size-fits-all proposition. As a substitute, companies should develop a versatile, scalable privateness framework that adapts to a mosaic of legal guidelines and evolving definitions of non-public knowledge.

With main U.S. privateness legal guidelines handed in 2024 now coming into enforcement phases, and with worldwide and cross-jurisdictional frameworks tightening, the stress on companies to behave responsibly and transparently has by no means been better. Organizations should acknowledge a stark new actuality: knowledge stewardship is buyer stewardship. Mishandling private knowledge would not simply end in fines—it erodes public belief in methods which can be tough to get better from.

The Increasing Regulatory Panorama

The legislative clock is ticking sooner than ever. In 2024 alone, a number of U.S. states—together with Florida, Washington, and New Hampshire—handed sweeping privateness legal guidelines that got here into drive this 12 months. Florida handed the Florida Digital Invoice of Rights, making use of to corporations with over $1 billion in income and giving shoppers rights to entry, delete, and decide out of information gross sales, particularly regarding biometric and geolocation knowledge. Washington enacted the My Well being My Information Act, which expands protections round shopper well being knowledge, requiring clear consent earlier than assortment and granting rights to delete and withdraw consent. New Hampshire launched its first complete privateness regulation, offering rights to entry, appropriate, delete, and decide out of the sale of non-public knowledge.

A few of these new legal guidelines align carefully with the California Shopper Privateness Act (CCPA) or the EU’s Basic Information Safety Regulation (GDPR), whereas others convey distinctive necessities round biometric knowledge, automated decision-making, or consent practices. Every regulation emphasizes stronger shopper management and transparency, with distinctive nuances round applicability and definitions, and mark a shift towards stricter, extra nuanced regulation throughout states.

Accordingly, corporations can not afford to think about knowledge privateness as merely a U.S. situation or simply about GDPR. In case your digital footprint crosses borders—and most companies’ footprints do—you could undertake a proactive, international method.

Constructing a Privateness-First Tradition

A privacy-forward technique begins with cultural change. It’s not nearly assembly minimal requirements—it’s about embedding privateness into the DNA of your group. This mindset begins with worker training and clear pointers for knowledge processing and storage, nevertheless it should even be strengthened by management. Firms that construct privateness into product improvement, advertising, buyer help, and HR capabilities stand out available in the market. Advancing technical safety capabilities and privateness administration rules in alignment with relevant requirements additional helps the safety of shopper knowledge. They’re not simply checking containers—they’re constructing manufacturers that customers belief.

AI and Privateness: A Delicate Balancing Act

The results of poor knowledge governance may be extreme. In accordance with IBM, the worldwide common value of an information breach reached $4.88 million in 2024. Some of the harmful new blind spots? Synthetic intelligence.

Generative AI and different machine studying instruments exploded in reputation in 2024, and their adoption continues to speed up. However companies should proceed with warning. Whereas these instruments can drive effectivity and innovation, in addition they pose vital privateness dangers.

Information assortment practices in AI techniques have to be scrutinized fastidiously. To mitigate these dangers, organizations ought to distinguish between public AI and personal AI. Public AI fashions—these educated on open web knowledge—are inherently much less safe. As soon as data is entered, it’s usually inconceivable to know the place or the way it would possibly resurface.

Non-public AI, alternatively, may be configured with tight entry controls, educated on inside datasets, and built-in into safe environments. When completed accurately, this ensures that delicate knowledge by no means leaves the group’s perimeter. Limit using generative AI instruments to inside techniques and prohibit coming into confidential or private knowledge into public AI platforms. The coverage is easy: if it’s not secured, it’s not used.

Transparency as a Aggressive Benefit

Some of the efficient methods for corporations to distinguish themselves in 2025 is thru radical transparency. Which means clear, concise privateness insurance policies written in language that actual individuals can perceive, not legalese buried in a footer.

It additionally means offering customers with instruments to handle their very own knowledge. Whether or not by means of consent dashboards, opt-out hyperlinks, or knowledge deletion requests, companies ought to empower people to take management of their private data. That is particularly vital with regards to cellular apps, which regularly gather delicate knowledge like geolocation, contact lists, and pictures. Companies ought to reduce knowledge assortment to what’s important for performance—and be upfront about why and the way knowledge is used.

Greatest Practices for a New Period

To assist organizations navigate the advanced knowledge privateness setting in 2025, contemplate following these finest practices:

Conduct a complete knowledge stock: Know what knowledge you gather, the place it resides, and the way it flows all through your group and third-party techniques.
Undertake a privacy-by-design method: Construct privateness protections into each new product, workflow, and partnership from the beginning, fairly than retrofitting them later.
Know your regulatory obligations: Guarantee your compliance program accounts for native, state, nationwide, and worldwide rules related to your operations.
Constant worker coaching: Training and consciousness messaging should present easy-to-understand data and matter choice ought to evolve round rising dangers like AI misuse or phishing schemes that concentrate on data-rich environments.
Restrict knowledge retention: Holding onto private data indefinitely will increase danger. Set up and implement knowledge retention insurance policies that replicate your operational and authorized necessities.
Encrypt and anonymize: Use superior encryption and de-identification methods to guard delicate knowledge, particularly in analytics, testing, and AI mannequin coaching.
Audit third-party distributors: Guarantee your companions meet your privateness and safety requirements. Contractual agreements ought to embody knowledge dealing with expectations, breach notification protocols, and compliance obligations.

Belief Is the Final ROI

The underside line? In 2025, privateness isn’t only a authorized situation—it’s a model situation. Prospects, staff, and companions are all watching the way you deal with knowledge. By embracing transparency, respecting boundaries, and strengthening safety, corporations can flip compliance right into a aggressive edge. In a world the place knowledge is forex, the way in which you defend it displays your values. The businesses that may thrive in 2025 and past are people who deal with knowledge privateness not as a burden—however as a enterprise crucial.

Widespread media processing operations with Jetpack Media3 Transformer

Android Development

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25 April 2025

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Widespread media processing operations with Jetpack Media3 Transformer

Posted by Nevin Mital – Developer Relations Engineer, and Kristina Simakova – Engineering Supervisor

Android customers have demonstrated an rising need to create, personalize, and share video content material on-line, whether or not to protect their reminiscences or to make folks snicker. As such, media enhancing is a cornerstone of many partaking Android apps, and traditionally builders have usually relied on exterior libraries to deal with operations akin to Trimming and Resizing. Whereas these options are highly effective, integrating and managing exterior library dependencies can introduce complexity and result in challenges with managing efficiency and high quality.

The Jetpack Media3 Transformer APIs supply a local Android answer that streamline media enhancing with quick efficiency, in depth customizability, and broad machine compatibility. On this weblog publish, we’ll stroll by way of a number of the commonest enhancing operations with Transformer and focus on its efficiency.

Getting arrange with Transformer

To get began with Transformer, try our Getting Began documentation for particulars on how you can add the dependency to your mission and a fundamental understanding of the workflow when utilizing Transformer. In a nutshell, you’ll:

Create one or many MediaItem cases out of your video file(s), then

Apply item-specific edits to them by constructing an EditedMediaItem for every MediaItem,

Create a Transformer occasion configured with settings relevant to the entire exported video,

and at last begin the export to avoid wasting your utilized edits to a file.

Apart: You can too use a CompositionPlayer to preview your edits earlier than exporting, however that is out of scope for this weblog publish, as this API continues to be a piece in progress. Please keep tuned for a future publish!

Right here’s what this seems like in code:

val mediaItem = MediaItem.Builder().setUri(mediaItemUri).construct()
val editedMediaItem = EditedMediaItem.Builder(mediaItem).construct()
val transformer = 
  Transformer.Builder(context)
    .addListener(/* Add a Transformer.Listener occasion right here for completion occasions */)
    .construct()
transformer.begin(editedMediaItem, outputFilePath)

Transcoding, Trimming, Muting, and Resizing with the Transformer API

Let’s now check out 4 of the most typical single-asset media enhancing operations, beginning with Transcoding.

Transcoding is the method of re-encoding an enter file right into a specified output format. For this instance, we’ll request the output to have video in HEVC (H265) and audio in AAC. Beginning with the code above, listed here are the traces that change:

val transformer = 
  Transformer.Builder(context)
    .addListener(...)
    .setVideoMimeType(MimeTypes.VIDEO_H265)
    .setAudioMimeType(MimeTypes.AUDIO_AAC)
    .construct()

Lots of you could already be acquainted with FFmpeg, a preferred open-source library for processing media information, so we’ll additionally embody FFmpeg instructions for every instance to function a useful reference. Right here’s how one can carry out the identical transcoding with FFmpeg:

$ ffmpeg -i $inputVideoPath -c:v libx265 -c:a aac $outputFilePath

The following operation we’ll strive is Trimming.

Particularly, we’ll set Transformer as much as trim the enter video from the three second mark to the 8 second mark, leading to a 5 second output video. Beginning once more from the code within the “Getting arrange” part above, listed here are the traces that change:

// Configure the trim operation by including a ClippingConfiguration to
// the media merchandise
val clippingConfiguration =
   MediaItem.ClippingConfiguration.Builder()
     .setStartPositionMs(3000)
     .setEndPositionMs(8000)
     .construct()
val mediaItem =
   MediaItem.Builder()
     .setUri(mediaItemUri)
     .setClippingConfiguration(clippingConfiguration)
     .construct()

// Transformer additionally has a trim optimization function we will allow.
// This may prioritize Transmuxing over Transcoding the place doable.
// See extra about Transmuxing additional down on this publish.
val transformer = 
  Transformer.Builder(context)
    .addListener(...)
    .experimentalSetTrimOptimizationEnabled(true)
    .construct()

With FFmpeg:

$ ffmpeg -ss 00:00:03 -i $inputVideoPath -t 00:00:05 $outputFilePath

Subsequent, we will mute the audio within the exported video file.

val editedMediaItem = 
  EditedMediaItem.Builder(mediaItem)
    .setRemoveAudio(true)
    .construct()

The corresponding FFmpeg command:

$ ffmpeg -i $inputVideoPath -c copy -an $outputFilePath

And for our ultimate instance, we’ll strive resizing the enter video by scaling it right down to half its unique peak and width.

val scaleEffect = 
  ScaleAndRotateTransformation.Builder()
    .setScale(0.5f, 0.5f)
    .construct()
val editedMediaItem =
  EditedMediaItem.Builder(mediaItem)
    .setEffects(
      /* audio */ Results(emptyList(), 
      /* video */ listOf(scaleEffect))
    )
    .construct()

An FFmpeg command might appear like this:

$ ffmpeg -i $inputVideoPath -filter:v scale=w=trunc(iw/4)*2:h=trunc(ih/4)*2 $outputFilePath

In fact, you can even mix these operations to use a number of edits on the identical video, however hopefully these examples serve to reveal that the Transformer APIs make configuring these edits easy.

Transformer API Efficiency outcomes

Listed below are some benchmarking measurements for every of the 4 operations taken with the Stopwatch API, operating on a Pixel 9 Professional XL machine:

(Be aware that efficiency for operations like these can rely on quite a lot of causes, akin to the present load the machine is below, so the numbers under must be taken as tough estimates.)

Enter video format: 10s 720p H264 video with AAC audio

Transcoding to H265 video and AAC audio: ~1300ms

Trimming video to 00:03-00:08: ~2300ms

Muting audio: ~200ms

Resizing video to half peak and width: ~1200ms

Enter video format: 25s 360p VP8 video with Vorbis audio

Transcoding to H265 video and AAC audio: ~3400ms

Trimming video to 00:03-00:08: ~1700ms

Muting audio: ~1600ms

Resizing video to half peak and width: ~4800ms

Enter video format: 4s 8k H265 video with AAC audio

Transcoding to H265 video and AAC audio: ~2300ms

Trimming video to 00:03-00:08: ~1800ms

Muting audio: ~2000ms

Resizing video to half peak and width: ~3700ms

One method Transformer makes use of to hurry up enhancing operations is by prioritizing transmuxing for fundamental video edits the place doable. Transmuxing refers back to the means of repackaging video streams with out re-encoding, which ensures high-quality output and considerably sooner processing occasions.

When not doable, Transformer falls again to transcoding, a course of that entails first decoding video samples into uncooked information, then re-encoding them for storage in a brand new container. Listed below are a few of these variations:

Transmuxing

Transformer’s most well-liked strategy when doable – a fast transformation that preserves elementary streams.
Solely relevant to fundamental operations, akin to rotating, trimming, or container conversion.
No high quality loss or bitrate change.

Transcoding

Transformer’s fallback strategy in circumstances when Transmuxing is not doable – Includes decoding and re-encoding elementary streams.
Extra in depth modifications to the enter video are doable.
Loss in high quality as a result of re-encoding, however can obtain a desired bitrate goal.

We’re repeatedly implementing additional optimizations, such because the not too long ago launched experimentalSetTrimOptimizationEnabled setting that we used within the Trimming instance above.

A trim is often carried out by re-encoding all of the samples within the file, however since encoded media samples are saved chronologically of their container, we will enhance effectivity by solely re-encoding the group of images (GOP) between the beginning level of the trim and the primary keyframes at/after the beginning level, then stream-copying the remainder.

Since we solely decode and encode a set portion of any file, the encoding latency is roughly fixed, no matter what the enter video period is. For lengthy movies, this improved latency is dramatic. The optimization depends on having the ability to sew a part of the enter file with newly-encoded output, which implies that the encoder’s output format and the enter format should be appropriate.

If the optimization fails, Transformer robotically falls again to regular export.

What’s subsequent?

As a part of Media3, Transformer is a local answer with low integration complexity, is examined on and ensures compatibility with all kinds of units, and is customizable to suit your particular wants.

To dive deeper, you’ll be able to discover Media3 Transformer documentation, run our pattern apps, or discover ways to complement your media enhancing pipeline with Jetpack Media3. We’ve already seen app builders profit significantly from adopting Transformer, so we encourage you to strive them out your self to streamline your media enhancing workflows and improve your app’s efficiency!

swift – iOS Credit score Card Autofill Not Working Regardless of Setting Correct TextContentTypes

iOS Development

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25 April 2025

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I am making an attempt to implement bank card autofill in my iOS app utilizing the advisable textContentType properties, however the autofill performance is not working in any respect.

I’ve arrange my textual content fields as follows:

cardNumberField.textContentType = .creditCardNumber
nameOnCardField.textContentType = .title
expirationDateField.textContentType = .creditCardExpiration 
securityCodeField.textContentType = .creditCardSecurityCode

Nevertheless, once I faucet on these fields, iOS would not present any autofill solutions for saved bank cards.

What I’ve Tried

Made positive I am utilizing iOS 14+ for the expiration and safety code fields
Verified that I’ve bank cards saved in Safari’s Autofill settings
Double-checked that each one fields are editable and enabled
Confirmed the fields are correctly added to the view hierarchy
Examined on a bodily system (iPhone 12, iOS 15.5)

Related Code

override func viewDidLoad() {
    tremendous.viewDidLoad()
    
    // Arrange textual content area content material sorts for bank card autofill
    cardNumberField.textContentType = .creditCardNumber
    nameOnCardField.textContentType = .title
    
    if #obtainable(iOS 14.0, *) {
        expirationDateField.textContentType = .creditCardExpiration
        securityCodeField.textContentType = .creditCardSecurityCode
    }
    
    // Set keyboard sorts appropriately
    cardNumberField.keyboardType = .numberPad
    expirationDateField.keyboardType = .numberPad
    securityCodeField.keyboardType = .numberPad
    securityCodeField.isSecureTextEntry = true
}

Surroundings

iOS 15.5
Xcode 14.2
Swift 5.7
Testing on bodily system (not simulator)

Query

What may very well be stopping the bank card autofill performance from working regardless of setting the right textContentType values? Is there any extra configuration wanted past setting these properties?

Veeam Report Finds Ransomware Is Nonetheless Thriving

Computer Networking

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25 April 2025

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Veeam Report Finds Ransomware Is Nonetheless Thriving

Veeam lately held its person occasion, VeeamON 2025, in San Diego. The annual present has been utilized by the info resilience market chief to announce new merchandise and improvements to the 1000’s of attendees. One mainstay of the occasion has been the discharge of Veeam’s state of ransomware report that highlights key tendencies and the way the combat in opposition to this development is progressing.

With the RSAC safety present on faucet, I believed it made sense to have a look at the highlights of the report and implications to safety groups. Probably the most obvious information level is how prevalent ransomware is immediately. Almost 70% of firms have skilled a ransomware assault prior to now 12 months, barely down from 75% the 12 months earlier than. Do not be fooled by this enchancment. Ransomware has superior, cybercriminals are smarter and corporations have a tougher time recovering from ransomware assaults, in line with Veeam’s “2025 Ransomware Traits & Proactive Methods” report.

The report, primarily based on a survey of 1,300 organizations worldwide, uncovered a serious shift in how cybercriminals function. They’re skipping their common tactic of locking down methods, going straight for information theft as a substitute. The brand new tactic is to interrupt right into a community, extract delicate information, corresponding to monetary information or mental property, after which threaten to launch it except a ransom is paid. These exfiltration-only assaults occur quick and are tougher to detect, particularly when firms have weak safety.

Associated:Id Authentication: How Blockchain Places Customers In Management

It isn’t simply the techniques which have modified, but in addition the teams finishing up ransomware assaults. In 2024, world legislation enforcement took down teams corresponding to LockBit, BlackCat and Black Basta. This enforcement brought about smaller teams to kind, a lot of which now give attention to mid-sized companies with weaker defenses.

These cybercriminals are additionally launching assaults a lot sooner. Final 12 months, for instance, two of the highest ransomware teams carried out assaults in lower than 24 hours after gaining entry. Traditionally, risk actors would break into an atmosphere, and it might take weeks and even months to find out what information to steal. The accelerated velocity of entry to theft removes more often than not safety groups have to search out the anomalies that might result in indicators of compromise.

One constructive development is that fewer firms are giving in to ransom calls for. In 2024, 36% of victims refused to pay in any respect, and plenty of who did managed to barter a lot decrease funds. On common, 82% of those that paid ended up paying lower than the unique demand. The everyday ransom dropped by almost half, hitting a low of $110,000 by the top of 2024.

Firms that labored with incident response specialists have been far much less more likely to pay, proving how necessary outdoors assist might be throughout a disaster. It is exhausting to name this a win, however a minimum of the monetary harm is minimized — though one might argue the dangerous actors are making it up in quantity.

One development I’ve seen over time is that paying a ransom would not assure security, and the Veeam report bore that out. It discovered 69% of firms that paid a ransom have been attacked once more. Moreover, new legal guidelines and worldwide efforts are discouraging funds altogether. The Worldwide Counter Ransomware Initiative, backed by 68 international locations, is pushing organizations to strengthen defenses relatively than fund cybercriminals. Some governments have even banned public sector ransom funds.

The actual problem comes with restoration. That is the place many firms fall brief. Nearly all of the survey respondents — 89% — stated attackers focused their backups. On common, a 3rd of these backups have been tampered with or deleted. Fewer than 10% recovered 90% of their servers on time, and barely half recovered most of their methods in any respect.

Do not Skip the Finest Practices

Why is restoration so troublesome? Many firms skip fundamental finest practices. Solely 32% used immutable backups that may’t be altered, whereas 28% examined their restored information in a protected atmosphere earlier than bringing methods again on-line. Shockingly, almost 40% restored information immediately into reside environments with out checking for malware, opening the door to reinfection and prolonged downtime.

I’ve talked to CISO after CISO who has confessed that they restored contaminated information, which then led to a different breach and one other ransomware request. It’s vital that firms have an immutable copy of unpolluted information to recuperate from.

Whereas expertise is important, the report highlighted how usually firms underestimate the necessary position individuals play in ransomware response. Solely 26% had a transparent course of for deciding whether or not to pay a ransom, and 30% had an outlined chain of command for dealing with assaults. Over a 3rd of firms let inner workers talk immediately with cybercriminals, as a substitute of bringing in skilled negotiators, which is dangerous.

Though 98% of firms had a ransomware response plan, lower than half included key particulars like verified backups (44%), clear backup copies (44%), various infrastructure (37%), containment plans (32%) or a transparent chain of command (30%). The businesses that recovered quickest have been those that had these particulars locked down and practiced their response forward of time.

Most firms acknowledge they should do higher. Almost all of these surveyed stated they plan to extend their budgets for each prevention and restoration in 2025. Nonetheless, Veeam warned that throwing cash on the drawback is not sufficient. Ransomware is not one thing firms can fully keep away from. The actual distinction comes right down to resilience, that means how rapidly and successfully an organization can get again on its ft after an assault.

The businesses that recuperate rapidly make certain their backups are locked down and clear earlier than restoring something. In addition they do not solely depend on their IT groups to combat fires. They spend money on good safety habits, corresponding to updating methods, limiting entry and utilizing higher detection instruments. Lastly, they do not deal with the whole lot on their very own. They rent incident response groups and negotiators who know easy methods to handle the scenario.

In different phrases, the businesses that bounce again quickest are those that plan forward, do not lower corners in relation to safety and know when to ask for assist.

Get in gear for warehouse automation on the Robotics Summit & Expo

Robotics

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25 April 2025

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Get in gear for warehouse automation on the Robotics Summit & Expo

Craig Van den Avont of GAM Enterprises will discuss the importance of gear and other components of warehouse automation at the 2025 Robotics Summit & Expo.

Provide chains across the globe face challenges together with financial uncertainty, labor shortages, and expectations of fast and reasonably priced order success. Automation guarantees to assist, however robotics builders and suppliers should to work carefully with warehouse operators to deal with their wants. On the Robotics Summit & Expo subsequent week, GAM Enterprises Inc. will share report findings on present warehouse developments and its experiences within the movement management market.

From fastened automation resembling conveyors and sortation techniques to the newest autonomous cell robots (AMRs) and automatic storage and retrieval techniques (ASRS), the market is scorching, with vital alternatives for each established robotics suppliers and startups. On the identical time, robotics suppliers have to make sure that their techniques are strong and versatile sufficient to satisfy rising demand, notably in e-commerce and third-party logistics (3PL).

The correct motion-control applied sciences are important for functions together with order choosing and consolidation, palletizing, put-away, and goods-to-person (G2P) supplies dealing with, famous GAM. As robotic arms and carry vans enhance their payload and attain, they require larger torque capability, better stability, and the flexibility to maneuver — and cease — rapidly and easily.

From best-in-class elements to a holistic strategy to the warehouse or distribution middle as a system, gearboxes may help meet heightened demand for precision, repeatability, and security. Integrators and finish customers want to pay attention to current processes, the circulation of products, and interactions amongst associates and tools resembling forklifts and robots.

This session on “Assembly Warehouse Calls for: Robotics, Movement Management, and Gearbox Methods for Smarter Automation” within the Robotics Summit & Expo Engineering Theater will look at the next issues for builders:

Figuring out utility necessities and course of flexibility
The varieties of robots which can be presently out there
Guaranteeing that elements meet efficiency expectations
How to decide on a trusted provider/associate
Configurability and customization
Specialised techniques versus general-purpose ones, such because the promise of humanoids

Automation skilled to deal with warehouse robotics

Craig Van den Avont is president at GAM Enterprises. In 1998, he was a founding father of GAM Gear LLC. Over time, the corporate grew from a startup to a market chief.

Van den Avont led the firm to implement full manufacturing at its location in Mount Prospect, Sick., and he’s pleased with GAM’s position in bringing manufacturing again to the U.S. Craig can also be the board chairman for the Illinois Manufacturing Excellence Heart (IMEC).

IMEC is the official Illinois consultant of the Manufacturing Extension Partnership (MEP) community underneath the U.S. Division of Commerce and the Nationwide Institute of Requirements and Know-how (NIST). The MEP Nationwide Community is a public-private partnership that delivers complete, confirmed options to U.S. producers, fueling progress and advancing U.S. manufacturing.

IMEC is devoted to offering producers in Illinois with the instruments and strategies to create sustainable aggressive futures within the world market.

Previous to GAM Enterprises, Van den Avont was the chief engineer at Rexroth-Indramat (now Bosch-Rexroth), a German producer of servo-based movement management techniques utilized in manufacturing facility automation. He began as a mechanical engineer on the firm and was promoted to chief engineer in solely 4 years.

Earlier than Rexroth, Craig was a design engineer at McDonnell Douglas, the place he labored on the DC-9/MD-80 plane on the Douglas plant in Lengthy Seaside, Calif.

Born and raised within the Chicago space, Van den Avont earned his BS in aeronautical-astronautical engineering from the College of Illinois in Urbana-Champaign and his MBA from DePaul College. Craig is captivated with U.S. manufacturing and actively works to advertise its success on an area, nationwide, and world degree. He has participated in a roundtable dialogue with the U.S. Division of Commerce Manufacturing Council’s Sub-Committee on Innovation and Analysis and Growth.

Van den Avont has been acknowledged by the Northwest Academic Council for Pupil Success (NESS) for GAM’s involvement with the native center, secondary, and post-secondary colleges, serving to to advertise careers in STEM (science, expertise, engineering, and arithmetic) and manufacturing.

Concerning the 2025 Robotics Summit & Expo

The Robotics Summit & Expo will convey collectively greater than 5,000 attendees targeted on constructing robots for numerous industrial industries. Attendees can achieve insights into the newest enabling applied sciences, engineering finest practices, rising developments, and extra.

Keynote audio system will embrace:

The present could have greater than 50 instructional periods in tracks on AI, design and growth, enabling applied sciences, healthcare, and logistics. The Engineering Theater on the present ground may even function displays by trade specialists.

The expo corridor will function over 200 exhibitors showcasing the newest enabling applied sciences, merchandise, and companies that may assist robotics engineers all through their growth journeys.

The Robotics Summit additionally provides quite a few networking alternatives, a Profession Truthful, a robotics growth problem, the RBR50 Robotics Innovation Awards Gala, and extra.

Registration is now open.

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Register now so you do not miss out!