#AI-Powered SaaS:

[marketplussolutions]

The Future of SaaS: AI-Driven Solutions Revolutionizing Businesses

xplore the benefits of AI in SaaS, including enhanced customer support, personalization, and data security. Stay ahead in the digital age with AI innovations.

[johndeersblogs]

How AI is Reshaping SaaS in 2025

Artificial Intelligence (AI) is revolutionizing various industries, and Software as a Service (SaaS) is no exception. In 2025, AI is becoming a fundamental part of SaaS solutions, enhancing automation, data analysis, and user interactions. But is AI truly transforming SaaS? Let’s explore its role in redefining software capabilities.

The Impact of AI on SaaS Development

AI is pushing SaaS platforms beyond traditional capabilities, allowing businesses to optimize performance, reduce manual work, and deliver personalized experiences. With AI-driven tools, companies can streamline operations, predict market trends, and enhance security. This shift is driving faster innovation and setting new benchmarks for efficiency.

How AI is Enhancing SaaS in 2025

AI contributes to SaaS growth in several ways:

Process Automation: AI minimizes human intervention by handling routine workflows.

Advanced Data Insights: AI processes large datasets, providing actionable insights for better decision-making.

User-Centric Customization: AI-driven platforms adjust features based on user preferences for a more tailored experience.

From AI-powered support systems to predictive business analytics, SaaS providers are leveraging AI to deliver high-performance solutions that adapt to business needs.

Why SaaS Companies Must Embrace AI

To stay ahead in a competitive market, Every SaaS development company must integrate AI-driven innovations. Here’s why:

Growing Market Demand: Companies prefer AI-powered software that automates operations and enhances productivity.

Optimized Performance: AI improves system speed, security, and user efficiency.

Unique Market Positioning: SaaS businesses adopting AI differentiate themselves with smarter and more adaptive solutions.

Businesses investing in AI-driven SaaS solutions are better positioned to scale and respond to evolving industry needs.

AI-Driven Features Transforming SaaS Solutions

AI is reshaping SaaS platforms by introducing:

Predictive Intelligence: AI anticipates market shifts and customer behavior patterns.

Automated Support Systems: AI-driven chatbots provide real-time assistance, reducing response times.

Operational Automation: AI simplifies processes such as invoicing, scheduling, and reporting.

Security Enhancement: AI strengthens data protection by detecting threats and preventing cyber risks.

By leveraging these AI-driven capabilities, SaaS providers can offer smarter, high-performing software tailored to modern business needs.

AI’s Growing Role in Mobile SaaS Applications

With increasing mobile reliance, SaaS companies are focusing on AI-integrated mobile applications for improved user engagement. AI is revolutionizing mobile SaaS apps by:

Adapting to User Preferences: AI personalizes content, layouts, and features based on user behavior.

Optimizing Workflow Automation: AI handles repetitive mobile tasks, improving efficiency.

Enabling Smart Interactions: AI-powered voice and image recognition enhance app usability.

AI-driven mobile application development allow SaaS platforms to deliver a seamless, intuitive experience across all devices.

Challenges in AI Integration for SaaS

While AI brings many advantages, integrating it into SaaS platforms comes with certain challenges:

Data Protection Concerns: AI relies on large volumes of user data, raising privacy issues.

Bias in AI Models: Poorly trained AI systems can produce inaccurate or unfair results.

Investment in Technology: Implementing AI requires expertise, infrastructure, and financial commitment.

SaaS businesses can tackle these issues by adopting ethical AI policies, strengthening cybersecurity measures, and collaborating with AI specialists.

What Lies Ahead for AI-Powered SaaS?

The future of AI in SaaS looks promising, with several trends emerging:

Greater AI-Led Automation: More tasks will be managed by AI, reducing human intervention.

Enhanced Digital Security: AI will play a key role in safeguarding SaaS platforms from cyber threats.

AI as a Core Functionality: AI will become an integral part of SaaS rather than an optional feature.

Final Thoughts: Will AI Define the Future of SaaS?

AI is transforming SaaS, making software smarter, more efficient, and highly adaptive. As businesses look for scalable, AI-powered solutions, the integration of AI into SaaS products is shifting from a trend to a necessity.

[marwizteach]

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[southside-solutions-llc]

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[kfrogstranslyrics]

Translyrics for “Neverland” by DECO 27

Original translation by Lori Majima

Kanji lyric

Romanji lyric

English lyric

なんでそんなこと言い出すの

nande sonna koto iidasu no

How could you suggest that now? There is no way!

あたし何も悪くないよ

atashi nani mo warukunai yo

Come on, I didn’t do anything wrong here.

きみが好きを始めたのに あたしそれを信じたのに

kimi ga suki o hajimeta no ni atashi sore o shinjita no ni

You opened my heart, my eccentricity! So here goes nothing I believe

きみのためになんでもしたのに

kimi no tame ni nan demo shita no ni

You say it’s for your sake but what about me?

きみ以外で幸せ　なれっこないんだもん

kimi igai de shiawase narekkonai nda mon

If you’re not here it’s impossible to be happy

そこんところきみはどう思ってるの

sokon tokoro kimi wa dou omotteru no

Just how do you feel about that baby?

さあ一緒にいこう？ ネバーランド

saa issho ni ikou? nebaarando

You and me, let’s go to Neverland!

何度でもきみと遊びたい

nando demo kimi to asobitai

You’ll be mine for all eternity!

バイバイ言ったら死刑なルール

baibai ittara shikei na ruuru

Say bye and the rules say you die

絶対誰にも渡さない

zettai dare ni mo watasanai

But who else could love you like me?

嗚呼こんなに甘いネバーランド

aa konna ni amai nebaarando

Ah, this lovely Neverland!

どうしてきみはつらそうなの？

doushite kimi wa tsurasou na no?

How could you ever be sad here?

どんまい？ 飽いたらリセットルール？

donmai? aitara risetto ruuru?

Don’t leave! If you’re tired we can reset the rules

どうしてもきみが離れない

doushite mo kimi ga hanarenai

I’ll stay with you for all eternity!

まだ好きだよね…？

mada suki da yo ne...?

You love me don’t you darling?

バッドなエンドだ　あっはっは

baddo na endo da ahhahhan

So it’s the bad end? AH-HA-HA

無理すぎてあれもこれも病んじゃった

murisugite are mo kore mo yanjatta

I’ll never let you go! You’ll suffer with me!

キュートな愛も無駄

kyuuto na ai mo muda

It’s cute, you waste my useless love!

「重すぎてしんどい」って　泣いちゃった

"omosugite shindoi" tte naichatta

I’ll cry, “I’m tired, it’s so heavy”

バッドなエンドだ　あっはっは

baddo na endo da ahhahhan

So it’s the bad end? AH-HA-HA

無理すぎてあれもこれも病んじゃった

murisugite are mo kore mo yanjatta

I’ll never let you go! You’ll suffer with me!

キュートな愛も無駄

kyuuto na ai mo muda

It’s cute, you waste my useless love!

「重すぎてしんどい」って　泣いちゃった

"omosugite shindoi" tte naichatta

“Time to graduate,” don’t make me weep!

変な冗談は良くないかも

hen na joudan wa yokunai kamo

Could be it was just some stupid joke, right?

嘘と言ってお互いのために

uso to itte otagai no tame ni

Please plead guilty for both our sakes

きみが好きを始めたのに あたしそれを信じたのに

kimi ga suki o hajimeta no ni atashi sore o shinjita no ni

You opened my heart, my eccentricity! So here goes nothing I believe

きみのためになんでもしたのに

kimi no tame ni nan demo shita no ni

I gave you all my life, and can’t you see

あたし以外で幸せ　なれっこないでしょ

atashi igai de shiawase narekkonai ndesho

If I’m not here you can’t be happy

ありえないよ　笑えない　許してやんない

arienai yo waraenai yurushite yannai

I cant even smile! I won’t let you leave!

さあ一緒にいこう？ ネバーランド

saa issho ni ikou? nebaarando

You and me, let’s go to Neverland!

「最後」とかなんで？ 認めない

"saigo" toka nande? mitomenai

Why would I let this be the last time?

頂戴でっかいごめんのポーズ

choudai dekkai gomen no poozu

I’ll still accept an apology!

なんとかやり直せるんじゃない

nantoka yarinaoseru nja nai

It’s not too late to change the rules!

終わっちゃうくらいなら嫌いにさせてよ

owachau kurai nara kirai ni sasete yo

And if this has to be the end, you’d better make me hate you

これ以上あたしに優しくしないでよ

kore ijou atashi ni yasashiku shinaide yo

Don’t be nice to me again. Don’t be nice to me at all

だって好きって思ってしまうもん

datte suki tte omotte shimau mon

But I just can’t stop adoring you

ずっと一緒願ってしまうもん

zutto issho negatte shimau mon

I wish we could finally be together!

やっぱ全部きみが悪いんだ

yappa zenbu kimi ga warui nda

How could you do this to my heart?

じゃあ一緒に死のう？ ネバーランド

jaa issho ni shinou? nebaarando

We will die! Go to Neverland!

何度でもきみで拗れたい

nando demo kimi de nejiretai

My heart is still yours to to break!

最強ふたりの未来のルーム

saikyou futari no mirai no ruumu

We’ll be a power couple from beyond the grave!

絶対誰にも渡さない

zettai dare ni mo watasanai

Who else can love you like me?

嗚呼こんなに甘いネバーランド

aa konna ni amai nebaarando

Ah, this lovely Neverland!

やっときみも笑えるんだね

yatto kimi mo waraeru nda ne

For the rest of time I can play with you

天才　あたしの想いがルール

tensai atashi no omoi ga ruuru

My genius mind makes all the rules!

最後に愛は勝つ　そうでしょう？

saigo ni ai wa katsu sou deshou?

And love always wins through and through!

ハッピーエンドだ　あっはっは

happii endo da ahhahha

Happy ending AH-HA-HA

これからもきみがすきなんだった

kore kara mo kimi ga suki nandatta

I’ll adore you for all eternity!

嫉妬も酸素もバイバイ

shitto mo sanso mo baibai

Oxygen and jealousy say ta ta

これからもだいすきなんだった

kore kara mo kimi ga suki nandatta

I’ll adore you for all eternity!

ハッピーエンドだ　あっはっは

happii endo da ahhahha

Happy ending AH-HA-HA

これからもきみがすきなんだった

kore kara mo kimi ga suki nandatta

I’ll worship you for all eternity!

嫉妬も酸素もバイバイ

shitto mo sanso mo baibai

Oxygen and jealousy say ta ta

これからもきみがすきなんだった

kore kara mo kimi ga suki nandatta

I’ll worship you for all eternity!

あは

Aha

HA HA

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[vabroapp]

Why Scrum/Agile Should Be Your Go-To for Product Development

s your product development process feeling slow, clunky, and inflexible? Scrum/Agile might be the perfect solution! Widely considered the most popular Agile framework, Scrum/Agile offers a fast, adaptable approach that prioritizes continuous value delivery.

Here's why Scrum/Agile is a game-changer for product development:

Maximize ROI & Resource Allocation - Scrum/Agile ditches the traditional top-down approach and empowers your team to self-organize and estimate workloads. This "bottom-up" planning ensures resources are optimized for maximum return across all IT projects.

Boost Collaboration & Transparency - Say goodbye to information silos! Scrum/Agile fosters open communication and real-time project visibility, keeping everyone on the same page and promoting informed decision-making.

Adapt to Change with Ease - The world of product development is anything but static. Scrum/Agile's iterative nature allows teams to quickly adjust to shifting priorities and requirements, ensuring your project stays relevant and on track.

Faster Time-to-Market & Satisfied Stakeholders - Break the cycle of slow product launches! Scrum/Agile's iterative approach delivers valuable product increments in rapid cycles. Built-in feedback loops guarantee stakeholder satisfaction by continuously aligning development with their expectations.

Unlock Innovation & Mitigate Risk - Scrum/Agile empowers teams to leverage diverse skill sets and self-organize for maximum problem-solving power. This fosters innovation and allows for early risk identification, minimizing the impact of unforeseen challenges.

Continuous Learning & Efficiency at Its Core - Scrum/Agile is all about continuous improvement. Teams are encouraged to learn from each iteration, fostering a culture of adaptability and efficiency. This ensures your product development process is constantly evolving to deliver the best possible results.

Ready to streamline your product development and achieve breakthrough results? Scrum/Agile might be the key! How do you think you could implement it effectively?

That's where Vabro comes in. Vabro is an AI-powered SaaS platform specifically designed to support Scrum & Agile methodologies. Vabro offers a robust suite of features to help your IT teams, DevOps, and project managers seamlessly manage workflows, collaborate efficiently, and deliver exceptional results.

Want to see how Vabro can take your Scrum/Agile game to the next level? Discover the Vabro difference for free and see how it can help transform the way teams work.

To know more, please visit Vabro.com.

[pharmacrm]

Close-Up International is a premier provider of AI empowered CRM, data analytics, and business intelligence solutions for the global life sciences industry. With a client base spanning over 650+ healthcare companies across more than 50 countries and boasting 47,000+ active CRM users, we are recognized as the #2 pharma CRM provider in the Americas. Our AI-powered CRM platform is designed to deliver actionable intelligence, enabling impactful interactions with healthcare professionals, real-time opportunity identification, and overall increased productivity. We prioritize user adoption through an intuitive user-friendly interface and offer unmatched flexibility, ensuring seamless data integration and long-term cost advantages. At Close-Up, we pride ourselves on our collaborative approach, working closely with our team of 1,000+ experts to deliver accelerated time-to-value, operational flexibility, and continual service excellence. Through our comprehensive SaaS model covering implementation, support, and managed services, we provide a highly flexible and cost-effective solutions to fit our clients' needs. For more information about our innovative CRM, data analytics, and AI solutions.

[arzelace]

5 Trends in ICT

Exploring the 5 ICT Trends Shaping the Future The Information and Communication Technology (ICT) landscape is evolving at a rapid pace, driven by advancements that are transforming how we live, work, and interact. Here are five key trends in ICT that are making a significant impact:

1. Convergence of Technologies

Technologies are merging into integrated systems, like smart devices that combine communication, media, and internet functions into one seamless tool. This trend enhances user experience and drives innovation across various sectors

Convergence technologies merge different systems, like smartphones combining communication and computing, smart homes using IoT, telemedicine linking healthcare with telecom, AR headsets overlaying digital on reality, and electric vehicles integrating AI and renewable energy.

2. Social Media

Social media platforms are central to modern communication and marketing, offering real-time interaction and advanced engagement tools. New features and analytics are making these platforms more powerful for personal and business use.

Social media examples linked to ICT trends include Facebook with cloud computing, TikTok using AI for personalized content, Instagram focusing on mobile technology, LinkedIn applying big data analytics, and YouTube leading in video streaming.

3. Mobile Technologies

Mobile technology is advancing with faster 5G networks and more sophisticated devices, transforming how we use smartphones and tablets. These improvements enable new applications and services, enhancing connectivity and user experiences.

Mobile technologies tied to ICT trends include 5G for high-speed connectivity, mobile payment apps in fintech, wearables linked to IoT, AR apps like Pokémon GO, and mobile cloud storage services like Google Drive.

4. Assistive Media

Assistive media technologies improve accessibility for people with disabilities, including tools like screen readers and voice recognition software. These innovations ensure that digital environments are navigable for everyone, promoting inclusivity.

Assistive media examples linked to ICT trends include screen readers for accessibility, AI-driven voice assistants, speech-to-text software using NLP, eye-tracking devices for HCI, and closed captioning on video platforms for digital media accessibility.

5. Cloud Computing

Cloud computing allows for scalable and flexible data storage and application hosting on remote servers. This trend supports software-as-a-service (SaaS) models and drives advancements in data analytics, cybersecurity, and collaborative tools.

Cloud computing examples related to ICT trends include AWS for IaaS, Google Drive for cloud storage, Microsoft Azure for PaaS, Salesforce for SaaS, and Dropbox for file synchronization.

Submitted by: Van Dexter G. Tirado

[toku-explained]

The Death of Chemies

New Generation Stars: With a new idea on mind, Yuka starts examining Windom's records, telling Ediom that the unit it was developed from, XSAA-8, outran an Idatenran, and observe the records of it battling Peguila. They then discuss King Joe, Yuka showing Z battling the one brought there, and Ediom showing the one battled by Rosso and Blu, before Yuka refocuses on STORAGE Custom, observing the recovery and then it's first battle against Grigio Raiden, and discuss briefly what they learnt about Raiden's relation to their work. They then move to the battle against M1. Ediom notes each SAA unit has its own role, and Yuka has a flash on inspiration, conceiving of Perfect Sevengar, a configuration where Sevengar gains mobility through Windom's thrusters and firepower from King Joe's arsenal. Ediom is not convinced it will work.

Gotchard: They rush SkeBows to the academy, but Kyouka confirms there's nothing to be done, because the Chemy's own malice was used, the finishing blow damaged the Chemy itself. Distraught, Hotaro leaves for home, and Hopper1, remembering the story of the golden flowers, sneaks away from him to find some. The AntRooper Malgam starts rampaging, and while Rinne, Renge and Sabimaru don't want to kill the Chemies anymore that Hotaro does, they know they have to at least try to stop it. When she finds him withdrawn, Hotaro's mother makes him the same food she used to make when he was depressed over his father leaving. A little better, he goes to apologise to Hopper1 for rebuffing it earlier, only to find it missing, and starts looking meanwhile, every time Hopper1 finds golden flowers something stops it getting them. The kids are trying to fight the Malgam, but are averse to killing it and struggle thanks to the cloning ability. Gigist explains to Atropos and Clotho his plan. The Chemy inside Hotaro has enabled or enhanced his ability to transmute himself using the Gotchardriver, and this has entwined him and the Chemy so much they cannot be separated, so he intends to force Hotaro to become a Malgam so he can separate them. Clotho doesn't believe Hotaro will fall that easily, leading Atropos to scold her, before asking if Gigist will revive Greyon when his power is restored, but Greyon effectively dismisses her wishes as a doll playing at having feelings. Hotaro stumbles on the battle, and after hesitating, to me project his friends becomes LightningJungle to try and stop the Malgam, while Hopper1 stumbles on some yellow flowers. Eventually all the students are overpowered, when Minato and Spanner arrive and, choosing the students over the Chemy, defeat all the Malgam copies, Spanner manages to capture AntRooper, only for it to die in the card. Hopper1 approaches with the flowers, only to be caught by Gigist. It tries to resist the darkness by evolving to CrossHopper, but Gigist knows the brightest lights cast the darkest shadow, and the Hopper1 Malgam is born. Struggling to resist the urge with Hotaro, it overpower Valvarad. Seeing the pain, Hotaro offers to let it hurt him, but Hopper1 can't. Unfortunately it has no such compunctions when a kid runs in for its toy, and Hotaro is forced to protect them and their mother, using Iron Gotchard to defeat the Malgam. Holding Hopper1's lifeless body, Hotaro sees the flower and realises it wanted to cheer him up, and realising he has killed his first and oldest friend, loses himself to malice, until the egg materialises around him protectively and teleports them away. As everyone else is left confused at what happens, within the egg the remorseful Hotaro is greeted by the egg, addressing him by name.

Boonboomger: Work is finishing on Boonboom Safari and Boonboom Marine, Taiya has been inspired by the Engines to give them AI programmed by Chassiro. On activation it seems they may not trust the team, so Mira and Jou make a contest to see who can get their trust first, as Genba enjoys the sight. Meanwhile, Cannonborg is finishing work in a secret project, which involves what looks like a replica Boonboom Changer. Taiya delivers to a middle-aged mother a cassette tape of her own mother's enka singing, Genba eager to get his own procurement fee but before Taiya can pay him Dekotread of the Sanseaters calls the Boonboomgers out. When the heroes arrive, they declare their victory, using the imitation Boomboom Changer to summon Boonboom Killer Robo, which plays an ondo that cranks down the team's gears, and Boonboom is also affected, unable to send the cars for rescue, Genba manages to use a fire extinguisher as a distraction though. At base nobody has any motivation. Genba gets resolute, and as Taiya contemplates a way to smash the speakers on Killer Robo, realises Genba is gone. Safari seems to have taken note. Genba goes to the Sanseaters, volunteering to help procure Gyasoline, and when the team spot him he's getting them all items to crank them up. With Dekotread motivated for karaoke, Itashar activates Killer Robo again. Mira starts questioning Genba's motives but works it out, as Genba suggests the Hashiliens are the new Boomboomgers, getting them hyped enough they get affected by the speakers, at the same time the Boomboomgers have the affect reversed. Inspired by Genba's example, Safari launches on it's own and destroys the speakers. When the Boonboomgers Change, the Sanseaters board Boonboom Killer Robo, so they summon Boonboomger Robo to battle, but thanks to some illegal mods the fake has the edge. Genba summons Boonboom Safari, and Boonboomger Robo Safari Custom uses it's claws to slice the fake apart. Back at base, Jou and Mira both want to win Marine over, as Genba enjoys Boonboom's latest fried offering, everyone else nervous over it.

[digitalsoftwareproductreviews]

DEVIO Review: Unlock the Power of Software Selling

In the always developing universe of advanced items, having the right apparatuses available to you can have a significant effect. Enter DEVIO, the world’s first AI software engineer companion powered by ChatGPT 5. This imaginative stage engages makers, business people, and engineers to easily send off their computerized item selling stages. Whether you’re dreaming of the next AppSumo, Codecanyon, or SaaS Mantra, DEVIO promises to turn your ideas into reality.

Grav Devio: https://pujansikder.com/devio-review/

[marwizteach]

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Pushing Boundaries: Sachin Dev Duggal's Builder.ai's Contribution to AI's Rapid Advancements

Builder.ai's Chief Wizard and Founder, Sachin Dev Duggal, recently engaged in a fireside chat with Jennifer Strong, Executive Producer at SHIFT Podcast at Web Summit Qatar 2024 The discussion centered on Builder.ai's simplified AI-powered app-creation process and the strategies for SaaS companies to scale into, and beyond, the no-code future.

Sachin Duggal talked about how Builder.ai creates apps differently by using artificial intelligence. He also shared that their goal is to make app-building easier for everyone, no matter if they know about technology or not.

"Builder.ai's simplified AI-powered app-creation process represents a significant shift in the software development landscape," remarked Sachin Dev Duggal. "Our platform empowers individuals and businesses to bring their app ideas to life without the need for extensive coding knowledge. By harnessing the power of AI, we've democratized app development, enabling anyone to create high-quality, customized applications efficiently."

Jennifer Strong, a top podcast producer, discussed how Builder.ai's strategy impacts Software-as-a-Service (SaaS) companies looking to expand in the rapidly changing world of no-code technology. They talked about the benefits and difficulties of the no-code revolution and how businesses can use Builder.ai and similar platforms to boost their creativity and success.

[kodehashtechnology]

At Kodehash, we're more than just a mobile app development company - we're your partners in growth. We blend innovation with creativity to create digital solutions that perfectly match your business needs. Our portfolio boasts over 500+ apps developed across a range of technologies. Our services include web and mobile app design & development, E-commerce store development, SaaS & Web apps support, and Zoho & Salesforce CRM & automation setup. We also offer IT managed services like AWS, Azure, and Google Cloud. Our expertise also extends to API and Salesforce integrations. We shine in leveraging cutting-edge tech like AI and Machine Learning. With a global presence in the US, UK, Dubai, Europe, and India, we're always within reach.

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Generative AI, innovation, creativity & what the future might hold - CyberTalk

New Post has been published on https://thedigitalinsider.com/generative-ai-innovation-creativity-what-the-future-might-hold-cybertalk/

Generative AI, innovation, creativity & what the future might hold - CyberTalk

Stephen M. Walker II is CEO and Co-founder of Klu, an LLM App Platform. Prior to founding Klu, Stephen held product leadership roles Productboard, Amazon, and Capital One.

Are you excited about empowering organizations to leverage AI for innovative endeavors? So is Stephen M. Walker II, CEO and Co-Founder of the company Klu, whose cutting-edge LLM platform empowers users to customize generative AI systems in accordance with unique organizational needs, resulting in transformative opportunities and potential.

In this interview, Stephen not only discusses his innovative vertical SaaS platform, but also addresses artificial intelligence, generative AI, innovation, creativity and culture more broadly. Want to see where generative AI is headed? Get perspectives that can inform your viewpoint, and help you pave the way for a successful 2024. Stay current. Keep reading.

Please share a bit about the Klu story:

We started Klu after seeing how capable the early versions of OpenAI’s GPT-3 were when it came to common busy-work tasks related to HR and project management. We began building a vertical SaaS product, but needed tools to launch new AI-powered features, experiment with them, track changes, and optimize the functionality as new models became available. Today, Klu is actually our internal tools turned into an app platform for anyone building their own generative features.

What kinds of challenges can Klu help solve for users?

Building an AI-powered feature that connects to an API is pretty easy, but maintaining that over time and understanding what’s working for your users takes months of extra functionality to build out. We make it possible for our users to build their own version of ChatGPT, built on their internal documents or data, in minutes.

What is your vision for the company?

The founding insight that we have is that there’s a lot of busy work that happens in companies and software today. I believe that over the next few years, you will see each company form AI teams, responsible for the internal and external features that automate this busy work away.

I’ll give you a good example for managers: Today, if you’re a senior manager or director, you likely have two layers of employees. During performance management cycles, you have to read feedback for each employee and piece together their strengths and areas for improvement. What if, instead, you received a briefing for each employee with these already synthesized and direct quotes from their peers? Now think about all of the other tasks in business that take several hours and that most people dread. We are building the tools for every company to easily solve this and bring AI into their organization.

Please share a bit about the technology behind the product:

In many ways, Klu is not that different from most other modern digital products. We’re built on cloud providers, use open source frameworks like Nextjs for our app, and have a mix of Typescript and Python services. But with AI, what’s unique is the need to lower latency, manage vector data, and connect to different AI models for different tasks. We built on Supabase using Pgvector to build our own vector storage solution. We support all major LLM providers, but we partnered with Microsoft Azure to build a global network of embedding models (Ada) and generative models (GPT-4), and use Cloudflare edge workers to deliver the fastest experience.

What innovative features or approaches have you introduced to improve user experiences/address industry challenges?

One of the biggest challenges in building AI apps is managing changes to your LLM prompts over time. The smallest changes might break for some users or introduce new and problematic edge cases. We’ve created a system similar to Git in order to track version changes, and we use proprietary AI models to review the changes and alert our customers if they’re making breaking changes. This concept isn’t novel for traditional developers, but I believe we’re the first to bring these concepts to AI engineers.

How does Klu strive to keep LLMs secure?

Cyber security is paramount at Klu. From day one, we created our policies and system monitoring for SOC2 auditors. It’s crucial for us to be a trusted partner for our customers, but it’s also top of mind for many enterprise customers. We also have a data privacy agreement with Azure, which allows us to offer GDPR-compliant versions of the OpenAI models to our customers. And finally, we offer customers the ability to redact PII from prompts so that this data is never sent to third-party models.

Internally we have pentest hackathons to understand where things break and to proactively understand potential threats. We use classic tools like Metasploit and Nmap, but the most interesting results have been finding ways to mitigate unintentional denial of service attacks. We proactively test what happens when we hit endpoints with hundreds of parallel requests per second.

What are your perspectives on the future of LLMs (predictions for 2024)?

This (2024) will be the year for multi-modal frontier models. A frontier model is just a foundational model that is leading the state of the art for what is possible. OpenAI will roll out GPT-4 Vision API access later this year and we anticipate this exploding in usage next year, along with competitive offerings from other leading AI labs. If you want to preview what will be possible, ChatGPT Pro and Enterprise customers have access to this feature in the app today.

Early this year, I heard leaders worried about hallucinations, privacy, and cost. At Klu and across the LLM industry, we found solutions for this and we continue to see a trend of LLMs becoming cheaper and more capable each year. I always talk to our customers about not letting these stop your innovation today. Start small, and find the value you can bring to your customers. Find out if you have hallucination issues, and if you do, work on prompt engineering, retrieval, and fine-tuning with your data to reduce this. You can test these new innovations with engaged customers that are ok with beta features, but will greatly benefit from what you are offering them. Once you have found market fit, you have many options for improving privacy and reducing costs at scale – but I would not worry about that in the beginning, it’s premature optimization.

LLMs introduce a new capability into the product portfolio, but it’s also an additional system to manage, monitor, and secure. Unlike other software in your portfolio, LLMs are not deterministic, and this is a mindset shift for everyone. The most important thing for CSOs is to have a strategy for enabling their organization’s innovation. Just like any other software system, we are starting to see the equivalent of buffer exploits, and expect that these systems will need to be monitored and secured if connected to data that is more important than help documentation.

Your thoughts on LLMs, AI and creativity?

Personally, I’ve had so much fun with GenAI, including image, video, and audio models. I think the best way to think about this is that the models are better than the average person. For me, I’m below average at drawing or creating animations, but I’m above average when it comes to writing. This means I can have creative ideas for an image, the model will bring these to life in seconds, and I am very impressed. But for writing, I’m often frustrated with the boring ideas, although it helps me find blind spots in my overall narrative. The reason for this is that LLMs are just bundles of math finding the most probable answer to the prompt. Human creativity —from the arts, to business, to science— typically comes from the novel combinations of ideas, something that is very difficult for LLMs to do today. I believe the best way to think about this is that the employees who adopt AI will be more productive and creative— the LLM removes their potential weaknesses, and works like a sparring partner when brainstorming.

You and Sam Altman agree on the idea of rethinking the global economy. Say more?

Generative AI greatly changes worker productivity, including the full automation of many tasks that you would typically hire more people to handle as a business scales. The easiest way to think about this is to look at what tasks or jobs a company currently outsources to agencies or vendors, especially ones in developing nations where skill requirements and costs are lower. Over this coming decade you will see work that used to be outsourced to global labor markets move to AI and move under the supervision of employees at an organization’s HQ.

As the models improve, workers will become more productive, meaning that businesses will need fewer employees performing the same tasks. Solo entrepreneurs and small businesses have the most to gain from these technologies, as they will enable them to stay smaller and leaner for longer, while still growing revenue. For large, white-collar organizations, the idea of measuring management impact by the number of employees under a manager’s span of control will quickly become outdated.

While I remain optimistic about these changes and the new opportunities that generative AI will unlock, it does represent a large change to the global economy. Klu met with UK officials last week to discuss AI Safety and I believe the countries investing in education, immigration, and infrastructure policy today will be best suited to contend with these coming changes. This won’t happen overnight, but if we face these changes head on, we can help transition the economy smoothly.

Is there anything else that you would like to share with the CyberTalk.org audience?

Expect to see more security news regarding LLMs. These systems are like any other software and I anticipate both poorly built software and bad actors who want to exploit these systems. The two exploits that I track closely are very similar to buffer overflows. One enables an attacker to potentially bypass and hijack that prompt sent to an LLM, the other bypasses the model’s alignment tuning, which prevents it from answering questions like, “how can I build a bomb?” We’ve also seen projects like GPT4All leak API keys to give people free access to paid LLM APIs. These leaks typically come from the keys being stored in the front-end or local cache, which is a security risk completely unrelated to AI or LLMs.

[must-ai-generator]

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